@article{kim_mediknit_2024,

title = {MediKnit: Soft Medical Making for Personalized and Clinician-Designed Wearable Devices for Hand Edema},

author = {Heather Jin Hee Kim and Narjes Pourjafarian and Arhan Choudhury and Joan Stilling and Cindy Hsin-Liu Kao},

url = {https://dl.acm.org/doi/10.1145/3678504},

doi = {10.1145/3678504},

year  = {2024},

date = {2024-09-01},

urldate = {2024-09-30},

journal = {Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.},

volume = {8},

number = {3},

pages = {110:1–110:30},

abstract = {Current rapid prototyping in medical domains relies on rigid 3D-printed materials, lacking flexibility, customization, and clinician-led input. This paper introduces MediKnit, a novel approach for the fabrication of soft medical devices, addressing critical limitations in existing design processes for medical devices. MediKnit provides a design tool empowering clinicians to personalize fabric-based devices for hand edema. This tool allows clinicians to adapt the design to individual patients' demands, thereby enhancing the overall effectiveness of therapy. The MediKnit device created by this tool consists of a machine-knit glove with active compression, which is programmable through a custom PCB. This device facilitates the mobilization of edema. To illustrate the practical implementation of our approach, this paper presents case studies involving six patients experiencing hand edema. The results demonstrate the adaptability and feasibility of our process for developing soft medical devices, highlighting its potential to broaden accessibility, facilitate personalized solutions, and empower clinicians as active medical makers.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{ploner_comprehensive_2024,

title = {A comprehensive review on electrochemical cytokine detection in sweat},

author = {Moritz Ploner and Mattia Petrelli and Bajramshahe Shkodra and Anna Tagliaferri and Paolo Lugli and Daniele Resnati and Luisa Petti and Martina Aurora Costa Angeli},

url = {https://www.sciencedirect.com/science/article/pii/S2666386424002455},

doi = {10.1016/j.xcrp.2024.101985},

issn = {2666-3864},

year  = {2024},

date = {2024-08-01},

urldate = {2024-09-26},

journal = {Cell Reports Physical Science},

volume = {5},

number = {8},

pages = {101985},

abstract = {Cytokines are signaling proteins present in human fluids. Their detection is crucial in understanding immune system activity and supporting the diagnosis and monitoring of diseases such as sepsis, diabetes, and cancers. Nevertheless, investigating temporal profiles of these crucial biomarkers still relies on blood sampling (potentially uncomfortable for patients and only providing a snapshot) and laboratory analysis. Wearable electrochemical sensors represent next-generation diagnostic and health monitoring methodologies, effectively investigating biomarkers in a continuous manner in alternative body fluids (e.g., sweat), thereby holding potential for early disease detection and enabling remote and enhanced personalized health monitoring. This work comprehensively reviews the significant potential of continuous electrochemical detection of cytokines in sweat. First, an overview of the role of cytokines from a medical perspective is given. Then, the concept of electrochemical sensors is introduced and the current state of the art of electrochemical sensing of cytokines in sweat toward wearable applications is critically assessed.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Mohan2024FormativeSummativeFeedback,

title = {Closing the loop in minimally supervised human–robot interaction: formative and summative feedback},

author = {Mayumi Mohan and Cara M. Nunez and Katherine J. Kuchenbecker},

year  = {2024},

date = {2024-01-01},

journal = {Scientific Reports},

volume = {14},

number = {10564},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Adenekan2024SmartphoneTouchPerception,

title = {A Comparative Analysis of Smartphone and Standard Tools for Touch Perception Assessment Across Multiple Body Sites},

author = {Rachel A. G. Adenekan and Alejandrina Gonzalez Reyes and Kyle T. Yoshida and Sreela Kodali and Allison M. Okamura and Cara M. Nunez},

year  = {2024},

date = {2024-01-01},

journal = {IEEE Transactions on Haptics},

pages = {1-8},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{chu_wearable_2023,

title = {A wearable electrochemical fabric for cytokine monitoring},

author = {Hongwei Chu and Xiaokang Hu and Cheng-Yu Lee and Anning Zhang and Yang Ye and Yuxin Wang and Yangyang Chen and Xiao Yan and Xinzhong Wang and Jun Wei and Sisi He and Yingchun Li},

url = {https://linkinghub.elsevier.com/retrieve/pii/S0956566323002439},

doi = {10.1016/j.bios.2023.115301},

issn = {09565663},

year  = {2023},

date = {2023-07-01},

urldate = {2024-09-20},

journal = {Biosensors and Bioelectronics},

volume = {232},

pages = {115301},

abstract = {Wearable biosensors monitoring various biomarkers in sweat provide comprehensive and prompt profiling of health states at molecular levels. Cytokines existed in sweat with trace amounts play an important role in cellular activity modulation. Unfortunately, flexible and wearable biosensors for cytokine monitoring have not yet been achieved due to the limitation of membrane-based structure and sensing strategy. Herein, we develop a novel electrochemical fabric based on aptamer-functionalized carbon nanotube/graphene fibers for real-time and in situ monitoring of IL-6, a paramount cytokine biomarker for inflammation and cancer. This fabric system pos­ sesses flexibility, anti-fatigue ability and breathability for wearable applications and can apply to different body parts in various forms. Moreover, the electrochemical fabric can track other biomarkers by replacing the coupling aptamer, serving as a universal platform for sweat analysis. This fabric-based platform holds the potential to facilitate an intelligent and personalized health monitoring approach.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{scaliusi_bioimpedance_2023b,

title = {From Bioimpedance to Volume Estimation: A Model for Edema Calculus in Human Legs},

author = {Santiago F. Scaliusi and Luis Gimenez and Pablo Pérez and Daniel Martín and Alberto Olmo and Gloria Huertas and F. Javier Medrano and Alberto Yúfera},

url = {https://www.mdpi.com/2079-9292/12/6/1383},

doi = {10.3390/electronics12061383},

issn = {2079-9292},

year  = {2023},

date = {2023-03-01},

urldate = {2024-08-08},

journal = {Electronics},

volume = {12},

number = {6},

pages = {1383},

abstract = {Heart failure (HF) is a severe disease and one of the most important causes of death in our society nowadays. A significant percentage of patients hospitalized for decompensation of heart failure are readmitted after some weeks or months due to an expected bad and uncontrolled HF evolution due to the lack of the patient supervision in real time. Herein is presented a straightforward electric model useful for volume leg section calculus based on the bioimpedance test as a way to assist with the acute HF patient’s supervision. The method has been developed for time-evolution edema evaluation in patients’ corresponding legs. The data are picked up with a wearable device specifically developed for acute heart failure patients. As an initial step, a calibration method is proposed to extract the extracellular volume component from bioimpedance measurements done in healthy subjects, and then applied to unhealthy ones. The intra- and extracellular resistance components are calculated from fitted Cole–Cole model parameters derived from BI spectroscopy measurements. Results obtained in a pilot assay, with healthy subjects and heart failure subjects, show sensitivities in leg volume [mL/Ω], with much lower values for healthy than in unhealthy people, being an excellent biomarker to discriminate between both. Finally, circadian cycle evolution for leg volume has been measured from the bioimpedance test as an extension of the work, enabling an alternative parameter for the characterization of one day of human activity for any person.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{scaliusi_bioimpedance_2023,

title = {From Bioimpedance to Volume Estimation: A Model for Edema Calculus in Human Legs},

author = {Santiago F. Scaliusi and Luis Gimenez and Pablo Pérez and Daniel Martín and Alberto Olmo and Gloria Huertas and F. Javier Medrano and Alberto Yúfera},

url = {https://www.mdpi.com/2079-9292/12/6/1383},

doi = {10.3390/electronics12061383},

issn = {2079-9292},

year  = {2023},

date = {2023-03-01},

urldate = {2024-08-08},

journal = {Electronics},

volume = {12},

number = {6},

pages = {1383},

abstract = {Heart failure (HF) is a severe disease and one of the most important causes of death in our society nowadays. A significant percentage of patients hospitalized for decompensation of heart failure are readmitted after some weeks or months due to an expected bad and uncontrolled HF evolution due to the lack of the patient supervision in real time. Herein is presented a straightforward electric model useful for volume leg section calculus based on the bioimpedance test as a way to assist with the acute HF patient’s supervision. The method has been developed for time-evolution edema evaluation in patients’ corresponding legs. The data are picked up with a wearable device specifically developed for acute heart failure patients. As an initial step, a calibration method is proposed to extract the extracellular volume component from bioimpedance measurements done in healthy subjects, and then applied to unhealthy ones. The intra- and extracellular resistance components are calculated from fitted Cole–Cole model parameters derived from BI spectroscopy measurements. Results obtained in a pilot assay, with healthy subjects and heart failure subjects, show sensitivities in leg volume [mL/Ω], with much lower values for healthy than in unhealthy people, being an excellent biomarker to discriminate between both. Finally, circadian cycle evolution for leg volume has been measured from the bioimpedance test as an extension of the work, enabling an alternative parameter for the characterization of one day of human activity for any person.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{monakhov_gridhtm_2023,

title = {GridHTM: Grid-Based Hierarchical Temporal Memory for Anomaly Detection in Videos},

author = {Vladimir Monakhov and Vajira Thambawita and Pål Halvorsen and Michael A. Riegler},

url = {https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9961912/},

doi = {10.3390/s23042087},

issn = {1424-8220},

year  = {2023},

date = {2023-02-01},

urldate = {2024-10-03},

journal = {Sensors (Basel, Switzerland)},

volume = {23},

number = {4},

pages = {2087},

abstract = {The interest in video anomaly detection systems that can detect different types of anomalies, such as violent behaviours in surveillance videos, has gained traction in recent years. The current approaches employ deep learning to perform anomaly detection in videos, but this approach has multiple problems. For example, deep learning in general has issues with noise, concept drift, explainability, and training data volumes. Additionally, anomaly detection in itself is a complex task and faces challenges such as unknownness, heterogeneity, and class imbalance. Anomaly detection using deep learning is therefore mainly constrained to generative models such as generative adversarial networks and autoencoders due to their unsupervised nature; however, even they suffer from general deep learning issues and are hard to properly train. In this paper, we explore the capabilities of the Hierarchical Temporal Memory (HTM) algorithm to perform anomaly detection in videos, as it has favorable properties such as noise tolerance and online learning which combats concept drift. We introduce a novel version of HTM, named GridHTM, which is a grid-based HTM architecture specifically for anomaly detection in complex videos such as surveillance footage. We have tested GridHTM using the VIRAT video surveillance dataset, and the subsequent evaluation results and online learning capabilities prove the great potential of using our system for real-time unsupervised anomaly detection in complex videos.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Yoshida2023CognitivePhysical,

title = {Cognitive and Physical Activities Impair Perception of Smartphone Vibrations},

author = {Kyle T. Yoshida and Joel X. Kiernan and Rachel A. G. Adenekan and Steven H. Trinh and Alexis J. Lowber and Allison M. Okamura and Cara M. Nunez},

year  = {2023},

date = {2023-01-01},

journal = {IEEE Transactions on Haptics},

volume = {16},

number = {4},

pages = {672-679},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{yu_impact_2023,

title = {The Impact of Wearable Devices on Physical Activity for Chronic Disease Patients: Findings from the 2019 Health Information National Trends Survey},

author = {Shiyuan Yu and Zhifeng Chen and Xiang Wu},

url = {https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9820171/},

doi = {10.3390/ijerph20010887},

issn = {1661-7827},

year  = {2023},

date = {2023-01-01},

urldate = {2024-08-12},

journal = {International Journal of Environmental Research and Public Health},

volume = {20},

number = {1},

pages = {887},

abstract = {Background: Wearable devices are shown to be an advanced tool for chronic disease management, but their impacts on physical activity remain uninvestigated. This study aims to examine the effect of wearable devices on physical activity in general people and chronic patients. Methods: Our sample was from the third cycle of the fifth iteration of the Health Information National Trends Survey (HINTS), which includes a total of 5438 residents. Genetic matching was used to evaluate the effect of wearable devices on physical activity in different populations. Results: (1) Both using wearable devices and using them with high frequency will improve physical activity for the whole population. (2) Wearable devices may have greater positive effects on physical activity for chronic patients. (3) Especially in patients with hypertension, high-frequency use of wearable devices can significantly improve the duration and frequency of physical activity. Conclusions: Wearable devices lead to more physical activity, and the benefit is more noticeable for chronic patients, particularly those with hypertension.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Xu2023DEAPump,

title = {A compact DEA-based soft peristaltic pump for power and control of fluidic robots},

author = {Siyi Xu and Cara M. Nunez and Mohammad Souri and Robert J Wood},

year  = {2023},

date = {2023-01-01},

journal = {Science Robotics},

volume = {8},

number = {79},

pages = {eadd4649},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pamplin_active_2022,

title = {Active Wearable Compression with Shape Memory Actuators for Treating Chronic Edema},

author = {John Pamplin and Jarren Baldwin and Julia Rodrick and WCC CLT-LANA OTR/L and Anand Doraiswamy},

url = {https://link.springer.com/10.1007/s40830-022-00379-w},

doi = {10.1007/s40830-022-00379-w},

issn = {2199-384X, 2199-3858},

year  = {2022},

date = {2022-06-01},

urldate = {2024-09-18},

journal = {Shape Memory and Superelasticity},

volume = {8},

number = {2},

pages = {142–149},

abstract = {Chronic edema can occur from impairment of the lymphatic, arterial, and venous systems. It can be a lifelong condition where self-care and treatment are necessary to manage the progressive worsening of the disease, which can lead to increased risk for infection, cellulitis, ulceration, wound, and amputation. At-home treatment options for this chronic debilitating disease are very limited. Existing PCDs have been around for several decades and have several major disadvantages. SMA embodied in a novel NPCD format allows for opportunity to address some of these disadvantages. Comparison of the two types of compression devices SMA-based NPCD and traditional PCD are evaluated and discussed in this study. Pressures were compared on both silicon and human subjects and visualization of applied pressure was also analyzed. Both devices provide comparable pressure range though PCD has higher variability in terms of uniformity of pressure applied. NPCD using SMA offers new treatment opportunity for patients with chronic edema at home in an entirely mobile and wearable platform.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{al-dorzi_effect_2022,

title = {The effect of intermittent pneumatic compression on deep-vein thrombosis and ventilation-free days in critically ill patients with heart failure},

author = {Hasan M. Al-Dorzi and Abdulaziz Al-Dawood and Fahad M. Al-Hameed and Karen E. A. Burns and Sangeeta Mehta and Jesna Jose and Sami Alsolamy and Sheryl Ann I. Abdukahil and Lara Y. Afesh and Mohammed S. Alshahrani and Yasser Mandourah and Ghaleb A. Almekhlafi and Mohammed Almaani and Ali Al Bshabshe and Simon Finfer and Zia Arshad and Imran Khalid and Yatin Mehta and Atul Gaur and Hassan Hawa and Hergen Buscher and Hani Lababidi and Abdulsalam Al Aithan and Yaseen M. Arabi},

url = {https://www.nature.com/articles/s41598-022-12336-9},

doi = {10.1038/s41598-022-12336-9},

issn = {2045-2322},

year  = {2022},

date = {2022-05-01},

urldate = {2024-06-23},

journal = {Scientific Reports},

volume = {12},

number = {1},

pages = {8519},

abstract = {Abstract There are contradictory data regarding the effect of intermittent pneumatic compression (IPC) on the incidence of deep-vein thrombosis (DVT) and heart failure (HF) decompensation in critically ill patients. This study evaluated the effect of adjunctive use of IPC on the rate of incident DVT and ventilation-free days among critically ill patients with HF. In this pre-specified secondary analysis of the PREVENT trial (N = 2003), we compared the effect of adjunctive IPC added to pharmacologic thromboprophylaxis (IPC group), with pharmacologic thromboprophylaxis alone (control group) in critically ill patients with HF. The presence of HF was determined by the treating teams according to local practices. Patients were stratified according to preserved (≥ 40%) versus reduced (< 40%) left ventricular ejection fraction, and by the New York Heart Association (NYHA) classification. The primary outcome was incident proximal lower-limb DVT, determined with twice weekly venous Doppler ultrasonography. As a co-primary outcome, we evaluated ventilation-free days as a surrogate for clinically important HF decompensation. Among 275 patients with HF, 18 (6.5%) patients had prevalent proximal lower-limb DVT (detected on trial day 1 to 3). Of 257 patients with no prevalent DVT, 11/125 (8.8%) patients in the IPC group developed incident proximal lower-limb DVT compared to 6/132 (4.5%) patients in the control group (relative risk, 1.94; 95% confidence interval, 0.74–5.08, 

 p = 0.17). There was no significant difference in ventilator-free days between the IPC and control groups (median 21 days versus 25 days respectively, 

 p = 0.17). The incidence of DVT with IPC versus control was not different across NYHA classes ( 

 p value for interaction = 0.18), nor across patients with reduced and preserved ejection fraction ( 

 p value for interaction = 0.15). Ventilator-free days with IPC versus control were also not different across NYHA classes nor across patients with reduced or preserved ejection fraction. In conclsuion, the use of adjunctive IPC compared with control was associated with similar rate of incident proximal lower-limb DVT and ventilator-free days in critically ill patients with HF. 

 Trial registration: The PREVENT trial is registered at ClinicalTrials.gov, ID: NCT02040103 (registered on 3 November 2013, 

 https://clinicaltrials.gov/ct2/show/study/NCT02040103 

 ) and Current controlled trials, ID: ISRCTN44653506 (registered on 30 October 2013).},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{salvato2022sparsedatadriven,

title = {Data-Driven Sparse Skin Stimulation Can Convey Social Touch Information to Humans},

author = {Millie Salvato and Sophia R. Williams and Cara M. Nunez and Xin Zhu and Ali Israr and Frances Lau and Keith Klumb and Freddy Abnousi and Allison M. Okamura and Heather Culbertson},

year  = {2022},

date = {2022-01-01},

journal = {IEEE Transactions on Haptics},

volume = {15},

number = {2},

pages = {392-404},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{besharat_peripheral_2021,

title = {Peripheral edema: A common and persistent health problem for older Americans},

author = {Soroush Besharat and Hanna Grol-Prokopczyk and Shan Gao and Changyong Feng and Frank Akwaa and Jennifer S. Gewandter},

editor = {Antony Bayer},

url = {https://dx.plos.org/10.1371/journal.pone.0260742},

doi = {10.1371/journal.pone.0260742},

issn = {1932-6203},

year  = {2021},

date = {2021-12-01},

urldate = {2023-10-20},

journal = {PLOS ONE},

volume = {16},

number = {12},

pages = {e0260742},

abstract = {Peripheral edema (i.e., lower limb swelling) can cause pain, weakness, and limited range of motion. However, few studies have examined its prevalence in the U.S. or its association with demographics, comorbidities, activity, or mobility. This study used data from the Health and Retirement Study, a nationally representative longitudinal survey of U.S. adults (age 51+/ N = 19,988 for 2016), to evaluate time trends and correlates of peripheral edema using weighted descriptive statistics and logistic regressions, respectively. Peripheral edema was assessed with the question “Have you had… // Persistent swelling in your feet or ankles?” The weighted prevalence of edema among older U.S. adults was 19% to 20% between 2000 and 2016. Peripheral edema was associated with older age, female sex, non-white race, low wealth, obesity, diabetes, hypertension, pain, low activity levels, and mobility limitations (odds ratios ranging from 1.2–5.6; p-values ≤0.001). This study provides the first estimates of national prevalence and correlates of peripheral edema among older Americans. Peripheral edema is common and strongly associated with comorbidities, pain, low activity levels, and mobility limitations, and disproportionately affects poorer and minority groups. Peripheral edema should be a focus of future research in order to develop novel and cost-effective interventions.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{li_multimodal_2021,

title = {A Multimodal Event-Driven LSTM Model for Stock Prediction Using Online News},

author = {Qing Li and Jinghua Tan and Jun Wang and Hsinchun Chen},

url = {https://ieeexplore.ieee.org/document/8966989/},

doi = {10.1109/TKDE.2020.2968894},

issn = {1041-4347, 1558-2191, 2326-3865},

year  = {2021},

date = {2021-10-01},

urldate = {2024-10-03},

journal = {IEEE Transactions on Knowledge and Data Engineering},

volume = {33},

number = {10},

pages = {3323–3337},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{de_sire_effects_2021,

title = {Effects of Intermittent Pneumatic Compression on Lower Limb Lymphedema in Patients with Type 2 Diabetes Mellitus: A Pilot Randomized Controlled Trial},

author = {Alessandro De Sire and Maria Teresa Inzitari and Lucrezia Moggio and Monica Pinto and Giustino De Sire and Marta Supervia and Annalisa Petraroli and Mariangela Rubino and Delia Carbotti and Elena Succurro and Antonio Ammendolia and Francesco Andreozzi},

url = {https://www.mdpi.com/1648-9144/57/10/1018},

doi = {10.3390/medicina57101018},

issn = {1648-9144},

year  = {2021},

date = {2021-09-01},

urldate = {2024-06-23},

journal = {Medicina},

volume = {57},

number = {10},

pages = {1018},

abstract = {Background and Objectives: Diabetes mellitus type 2 (T2DM) is a chronic disease associated with fluid accumulation in the interstitial tissue. Manual lymphatic drainage (MLD) plays a role in reducing lymphoedema, like intermittent pneumatic compression (IPC). By the present pilot study, we aimed to evaluate the efficacy of a synergistic treatment with MLD and IPC in reducing lower limb lymphedema in T2DM patients. Materials and Methods: Adults with a clinical diagnosis of T2DM and lower limb lymphedema (stage II–IV) were recruited from July to December 2020. Study participants were randomized into two groups: experimental group, undergoing a 1-month rehabilitative program consisting of MLD and IPC (with a compression of 60 to 80 mmHg); control group, undergoing MLD and a sham IPC (with compression of <30 mmHg). The primary outcome was the lower limb lymphedema reduction, assessed by the circumferential method (CM). Secondary outcomes were: passive range of motion (pROM) of hip, knee, and ankle; quality of life; laboratory exams as fasting plasma glucose and HbA1c. At baseline (T0) and at the end of the 1-month rehabilitative treatment (T1), all the outcome measures were assessed, except for the Hb1Ac evaluated after three months. Results: Out of 66 T2DM patients recruited, only 30 respected the eligibility criteria and were randomly allocated into 2 groups: experimental group (n = 15; mean age: 54.2 ± 4.9 years) and control group (n = 15; mean age: 54.0 ± 5.5 years). At the intra-group analysis, the experimental group showed a statistically significant improvement of all outcome measures (p < 0.05). The between-group analysis showed a statistically significant improvement in pROM of the hip, knee, ankle, EQ-VAS, and EQ5D3L index at T1. Conclusions: A multimodal approach consisting of IPC and MLD showed to play a role in reducing lower limb lymphedema, with an increase of pROM and HRQoL. Since these are preliminary data, further studies are needed.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{dunn_wearable_2021,

title = {Wearable sensors enable personalized predictions of clinical laboratory measurements},

author = {Jessilyn Dunn and Lukasz Kidzinski and Ryan Runge and Daniel Witt and Jennifer L. Hicks and Sophia Miryam Schüssler-Fiorenza Rose and Xiao Li and Amir Bahmani and Scott L. Delp and Trevor Hastie and Michael P. Snyder},

url = {https://www.nature.com/articles/s41591-021-01339-0},

doi = {10.1038/s41591-021-01339-0},

issn = {1078-8956, 1546-170X},

year  = {2021},

date = {2021-06-01},

urldate = {2024-06-23},

journal = {Nature Medicine},

volume = {27},

number = {6},

pages = {1105–1112},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{chen_pain_2021,

title = {Pain and Stress Detection Using Wearable Sensors and Devices—A Review},

author = {Jerry Chen and Maysam Abbod and Jiann-Shing Shieh},

url = {https://www.mdpi.com/1424-8220/21/4/1030},

doi = {10.3390/s21041030},

issn = {1424-8220},

year  = {2021},

date = {2021-02-01},

urldate = {2024-06-23},

journal = {Sensors},

volume = {21},

number = {4},

pages = {1030},

abstract = {Pain is a subjective feeling; it is a sensation that every human being must have experienced all their life. Yet, its mechanism and the way to immune to it is still a question to be answered. This review presents the mechanism and correlation of pain and stress, their assessment and detection approach with medical devices and wearable sensors. Various physiological signals (i.e., heart activity, brain activity, muscle activity, electrodermal activity, respiratory, blood volume pulse, skin temperature) and behavioral signals are organized for wearables sensors detection. By reviewing the wearable sensors used in the healthcare domain, we hope to find a way for wearable healthcare-monitoring system to be applied on pain and stress detection. Since pain leads to multiple consequences or symptoms such as muscle tension and depression that are stress related, there is a chance to find a new approach for chronic pain detection using daily life sensors or devices. Then by integrating modern computing techniques, there is a chance to handle pain and stress management issue.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{jagannath_temporal_2021,

title = {Temporal profiling of cytokines in passively expressed sweat for detection of infection using wearable device},

author = {Badrinath Jagannath and Kai-Chun Lin and Madhavi Pali and Devangsingh Sankhala and Sriram Muthukumar and Shalini Prasad},

url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/btm2.10220},

doi = {10.1002/btm2.10220},

issn = {2380-6761},

year  = {2021},

date = {2021-01-01},

urldate = {2024-09-20},

journal = {Bioengineering & Translational Medicine},

volume = {6},

number = {3},

pages = {e10220},

abstract = {This work presents the viability of passive eccrine sweat as a functional biofluid toward tracking the human body's inflammatory response. Cytokines are biomarkers that orchestrate the manifestation and progression of an infection/inflammatory event. Hence, noninvasive, real-time monitoring of cytokines can be pivotal in assessing the progression of infection/inflammatory event, which may be feasible through monitoring of host immune markers in eccrine sweat. This work is the first experimental proof demonstrating the ability to detect inflammation/infection such as fever, FLU directly from passively expressed sweat in human subjects using a wearable “SWEATSENSER” device. The developed SWEATSENSER device demonstrates stable, real-time monitoring of inflammatory cytokines in passive sweat. An accuracy of >90% and specificity >95% was achieved using SWEATSENSER for a panel of cytokines (interleukin-6, interleukin-8, interleukin-10, and tumor necrosis factor-α) over an analytical range of 0.2–200 pg mL−1. The SWEATSENSER demonstrated a correlation of Pearson's r > 0.98 for the study biomarkers in a cohort of 26 subjects when correlated with standard reference method. Comparable IL-8 levels (2–15 pg mL−1) between systemic circulation (serum) and eccrine sweat through clinical studies in a cohort of 15 subjects, and the ability to distinguish healthy and sick (infection) cohort using inflammatory cytokines in sweat provides pioneering evidence of the SWEATSENSER technology for noninvasive tracking of host immune response biomarkers. Such a wearable device can offer significant strides in improving prognosis and provide personalized therapeutic treatment for several inflammatory/infectious diseases.},

note = {_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1002/btm2.10220},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{liu_cytokines_2021,

title = {Cytokines: From Clinical Significance to Quantification},

author = {Chao Liu and Dewei Chu and Kourosh Kalantar-Zadeh and Jacob George and Howard A. Young and Guozhen Liu},

url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/advs.202004433},

doi = {10.1002/advs.202004433},

issn = {2198-3844},

year  = {2021},

date = {2021-01-01},

urldate = {2024-09-21},

journal = {Advanced Science},

volume = {8},

number = {15},

pages = {2004433},

abstract = {Cytokines are critical mediators that oversee and regulate immune and inflammatory responses via complex networks and serve as biomarkers for many diseases. Quantification of cytokines has significant value in both clinical medicine and biology as the levels provide insights into physiological and pathological processes and can be used to aid diagnosis and treatment. Cytokines and their clinical significance are introduced from the perspective of their pro- and anti-inflammatory effects. Factors affecting cytokines quantification in biological fluids, native levels in different body fluids, sample processing and storage conditions, sensitivity to freeze-thaw, and soluble cytokine receptors are discussed. In addition, recent advances in in vitro and in vivo assays, biosensors based on different signal outputs and intracellular to extracellular protein expression are summarized. Various quantification platforms for high-sensitivity and reliable measurement of cytokines in different scenarios are discussed, and commercially available cytokine assays are compared. A discussion of challenges in the development and advancement of technologies for cytokine quantification that aim to achieve real-time multiplex cytokine analysis for point-of-care situations applicable for both biomedical research and clinical practice are discussed.},

note = {_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1002/advs.202004433},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{white_infrared_2020,

title = {An infrared 3D scanning device as a novel limb volume measurement tool in breast cancer patients},

author = {Bernadette N. White and Iris M. Lu and LeslieAnn S. Kao and J. Brandon Dixon and Michael J. Weiler and Nathan D. Frank and Jill Binkley and Preeti Subhedar and Joel Okoli and Karen Buhariwalla and Adriana Suarez-Ligon and Sheryl G. A. Gabram-Mendola},

url = {https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7592580/},

doi = {10.1186/s12957-020-02043-y},

issn = {1477-7819},

year  = {2020},

date = {2020-10-01},

urldate = {2024-09-23},

journal = {World Journal of Surgical Oncology},

volume = {18},

pages = {278},

abstract = {Abstract 

null 

Background 

Lymphedema is a common complication of breast cancer treatment that affects one in five breast cancer survivors, yet there is no reliable method to detect lymphedema in the subclinical range. The objective of this study was to determine the feasibility and reliability of using an infrared 3D scanning device (ISD) as a peri-operative limb volume measurement tool. 

Methods 

Fifteen patients were analyzed based on inclusion criteria. Peri-operative measurements were obtained using tape measure and an ISD. Volumes were calculated using a standard algorithm for tape measure and a custom algorithm for ISD measurements. Linear regression models were used to assess ISD and tape measurement volume and circumference correlation. One-way ANOVA was used to compare change in percent difference at set time points post-operatively (2–3 weeks, 4–6 weeks, and 7–12 weeks) for both ISD and tape measure. t tests for unequal variances with the Bonferroni correction were performed among these groups. 

Results There is a positive linear correlation (R2 = 0.8518) between absolute volume measurements by the ISD and tape measure. Analyses over 2–10 weeks post-operatively showed that the ISD was able to detect volume changes in both the unaffected and the affected arm. Furthermore, the affected arm tended to have a greater increase in volume in the majority of patients, indicating these patients could be at risk for lymphedema. 

Conclusions 

Technology utilizing infrared 3D scanners can reliably measure limb volume pre- and post-treatment similarly to tape measure in a small sample of patients. Further research using 3D scanning technology with a longer follow up is warranted.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{8878113,

title = {Evolution and Analysis of Hapkit: An Open-Source Haptic Device for Educational Applications},

author = {Melisa Orta Martinez and Cara M. Nunez and Ting Liao and Tania K. Morimoto and Allison M. Okamura},

doi = {10.1109/TOH.2019.2948609},

year  = {2020},

date = {2020-01-01},

journal = {IEEE Transactions on Haptics},

volume = {13},

number = {2},

pages = {354-367},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{posada-quintero_innovations_2020,

title = {Innovations in Electrodermal Activity Data Collection and Signal Processing: A Systematic Review},

author = {Hugo F. Posada-Quintero and Ki H. Chon},

url = {https://www.mdpi.com/1424-8220/20/2/479},

doi = {10.3390/s20020479},

issn = {1424-8220},

year  = {2020},

date = {2020-01-01},

urldate = {2024-06-23},

journal = {Sensors},

volume = {20},

number = {2},

pages = {479},

abstract = {The electrodermal activity (EDA) signal is an electrical manifestation of the sympathetic innervation of the sweat glands. EDA has a history in psychophysiological (including emotional or cognitive stress) research since 1879, but it was not until recent years that researchers began using EDA for pathophysiological applications like the assessment of fatigue, pain, sleepiness, exercise recovery, diagnosis of epilepsy, neuropathies, depression, and so forth. The advent of new devices and applications for EDA has increased the development of novel signal processing techniques, creating a growing pool of measures derived mathematically from the EDA. For many years, simply computing the mean of EDA values over a period was used to assess arousal. Much later, researchers found that EDA contains information not only in the slow changes (tonic component) that the mean value represents, but also in the rapid or phasic changes of the signal. The techniques that have ensued have intended to provide a more sophisticated analysis of EDA, beyond the traditional tonic/phasic decomposition of the signal. With many researchers from the social sciences, engineering, medicine, and other areas recently working with EDA, it is timely to summarize and review the recent developments and provide an updated and synthesized framework for all researchers interested in incorporating EDA into their research.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{8878113b,

title = {Evolution and Analysis of Hapkit: An Open-Source Haptic Device for Educational Applications},

author = {Melisa Orta Martinez and Cara M. Nunez and Ting Liao and Tania K. Morimoto and Allison M. Okamura},

doi = {10.1109/TOH.2019.2948609},

year  = {2020},

date = {2020-01-01},

journal = {IEEE Transactions on Haptics},

volume = {13},

number = {2},

pages = {354-367},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{khong_lower_2019,

title = {Lower limb chronic edema management program: Perspectives of disengaged patients on challenges, enablers and barriers to program attendance and adherence},

author = {Linda A. M. Khong and Amma Buckley and Wendy Johnson and Vinicius Cavalheri},

editor = {Slavko Rogan},

url = {https://dx.plos.org/10.1371/journal.pone.0219875},

doi = {10.1371/journal.pone.0219875},

issn = {1932-6203},

year  = {2019},

date = {2019-11-01},

urldate = {2024-09-11},

journal = {PLOS ONE},

volume = {14},

number = {11},

pages = {e0219875},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{sano_multimodal_2019,

title = {Multimodal Ambulatory Sleep Detection Using LSTM Recurrent Neural Networks},

author = {Akane Sano and Weixuan Chen and Daniel Lopez-Martinez and Sara Taylor and Rosalind W. Picard},

url = {https://ieeexplore.ieee.org/document/8449917/},

doi = {10.1109/JBHI.2018.2867619},

issn = {2168-2194, 2168-2208},

year  = {2019},

date = {2019-07-01},

urldate = {2024-10-03},

journal = {IEEE Journal of Biomedical and Health Informatics},

volume = {23},

number = {4},

pages = {1607–1617},

abstract = {Unobtrusive and accurate ambulatory methods are needed to monitor long-term sleep patterns for improving health. Previously developed ambulatory sleep detection methods rely either in whole or in part on self-reported diary data as ground truth, which is a problem since people often do not fill them out accurately. This paper presents an algorithm that uses multimodal data from smartphones and wearable technologies to detect sleep/wake state and sleep onset/offset using a type of recurrent neural network with long-short-term memory (LSTM) cells for synthesizing temporal information. We collected 5580 days of multimodal data from 186 participants and compared the new method for sleep/wake classification and sleep onset/offset detection to (1) nontemporal machine learning methods and (2) a state-of-the-art actigraphy software. The new LSTM method achieved a sleep/wake classification accuracy of 96.5%, and sleep onset/offset detection F1 scores of 0.86 and 0.84 respectively, with mean absolute errors of 5.0 and 5.5 min, respectively, when compared with sleep/wake state and sleep onset/offset assessed using actigraphy and sleep diaries. The LSTM results were statistically superior to those from non-temporal machine learning algorithms and the actigraphy software. We show good generalization of the new algorithm by comparing participant-dependent and participant-independent models, and we show how to make the model nearly realtime with slightly reduced performance.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{mercier_limprint_2019,

title = {LIMPRINT: Health-Related Quality of Life in Adult Patients with Chronic Edema},

author = {Gregoire Mercier and Jenica Pastor and Christine Moffatt and Peter Franks and Isabelle Quéré},

url = {https://www.liebertpub.com/doi/10.1089/lrb.2018.0084},

doi = {10.1089/lrb.2018.0084},

issn = {1539-6851, 1557-8585},

year  = {2019},

date = {2019-04-01},

urldate = {2024-09-11},

journal = {Lymphatic Research and Biology},

volume = {17},

number = {2},

pages = {163–167},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Nunez2019Skin-Slip,

title = {Understanding Continuous and Pleasant Linear Sensations on the Forearm from a Sequential Discrete Lateral Skin-Slip Haptic Device},

author = {Cara M. Nunez and Sophia R. Williams and Allison M. Okamura and Heather Culbertson},

year  = {2019},

date = {2019-01-01},

journal = {IEEE Transactions on Haptics},

volume = {12},

number = {4},

pages = {414–427},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{kanjanapas2019design,

title = {Design and Analysis of Pneumatic 2-DoF Soft Haptic Devices for Shear Display},

author = {Smita Kanjanapas and Cara M. Nunez and Sophia R. Williams and Allison M. Okamura and Ming Luo},

year  = {2019},

date = {2019-01-01},

journal = {IEEE Robotics and Automation Letters},

volume = {4},

number = {2},

pages = {1365–1371},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{park_multimodal_2018,

title = {A Multimodal Anomaly Detector for Robot-Assisted Feeding Using an LSTM-Based Variational Autoencoder},

author = {Daehyung Park and Yuuna Hoshi and Charles C. Kemp},

url = {https://ieeexplore.ieee.org/document/8279425/?arnumber=8279425},

doi = {10.1109/LRA.2018.2801475},

issn = {2377-3766},

year  = {2018},

date = {2018-07-01},

urldate = {2024-09-24},

journal = {IEEE Robotics and Automation Letters},

volume = {3},

number = {3},

pages = {1544–1551},

abstract = {The detection of anomalous executions is valuable for reducing potential hazards in assistive manipulation. Multimodal sensory signals can be helpful for detecting a wide range of anomalies. However, the fusion of high-dimensional and heterogeneous modalities is a challenging problem for model-based anomaly detection. We introduce a long short-term memory-based variational autoencoder (LSTM-VAE) that fuses signals and reconstructs their expected distribution by introducing a progress-based varying prior. Our LSTM-VAE-based detector reports an anomaly when a reconstruction-based anomaly score is higher than a state-based threshold. For evaluations with 1555 robot-assisted feeding executions, including 12 representative types of anomalies, our detector had a higher area under the receiver operating characteristic curve of 0.8710 than 5 other baseline detectors from the literature. We also show the variational autoencoding and state-based thresholding are effective in detecting anomalies from 17 raw sensory signals without significant feature engineering effort.},

note = {Conference Name: IEEE Robotics and Automation Letters},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{young_treatment_2017,

title = {Treatment in the home setting with intermittent pneumatic compression for a woman with chronic leg ulcers: a case report},

author = {Katrina Young and Harrison Ng Chok and Lesley Wilkes},

url = {http://bmcnurs.biomedcentral.com/articles/10.1186/s12912-017-0250-2},

doi = {10.1186/s12912-017-0250-2},

issn = {1472-6955},

year  = {2017},

date = {2017-12-01},

urldate = {2024-06-23},

journal = {BMC Nursing},

volume = {16},

number = {1},

pages = {56},

abstract = {Background: Intermittent Pneumatic Compression (IPC) is shown to improve the healing rate of Venous Leg Ulcers (VLU) in the hospital setting. The current Australian “Gold Standard” treatment according to the Australian and New Zealand Wound Management Associations’ (AWMA) Prevention & Management of Venous Leg Ulcer guidelines is compression, generally in the form of bandaging then progressing to hosiery once wounds are healed to prevent recurrence. This is recommended in conjunction with other standards of wound management including; nutrition, exercise, client education and addressing underlying pathophysiology and psychosocial factors. Compression bandaging is predominantly attended by community nurses in the clients’ home. Barriers to delivery of this treatment include; client concordance and or suitability for bandaging including client habitus, (shape of legs), client lifestyle, clinician knowledge and clinicians physical ability to attend bandaging, in particular for obese clients with limited mobility who pose a manual handling risk to the clinician themselves. The use of IPC may assist in mitigating some of these concerns, therefore it would seem wise to explore the use of IPC within the home setting. Case presentation: This paper will present an original case report on the successful treatment of a woman living with chronic bilateral lower leg ulcers using IPC as an adjunct treatment in her home. This paper supports recommendations to explore the use of IPC therapy in the home setting, for treatment of chronic leg ulcers requiring compression. Conclusion: Use of IPC in the home is anticipated to improve client involvement, concordance, client outcomes and reduce risk to staff applying conventional compression bandaging systems, particularly for obese clients with limited mobility.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{fallahzadeh_context-aware_2017,

title = {Context-Aware System Design for Remote Health Monitoring: An Application to Continuous Edema Assessment},

author = {Ramin Fallahzadeh and Yuchao Ma and Hassan Ghasemzadeh},

url = {http://ieeexplore.ieee.org/document/7588086/},

doi = {10.1109/TMC.2016.2616403},

issn = {1536-1233},

year  = {2017},

date = {2017-08-01},

urldate = {2024-09-12},

journal = {IEEE Transactions on Mobile Computing},

volume = {16},

number = {8},

pages = {2159–2173},

abstract = {Designing remote health monitoring systems requires a multi-faceted perspective that takes into account requirements and contexts imposed by the medical application, technology, and end-user. We study such a design perspective in the context of remote and real-time edema monitoring. Edema (accumulation of fluid in certain soft-tissues) is regarded as one of the most important symptoms for systematic diseases such as heart failure. Monitoring edema allows patients and caregivers to understand the state of sickness and effectiveness of the treatments. This article proposes a novel low-power context-aware and real-time wearable platform capable of continuous assessment of ankle edema in remote settings. Our system keeps track of changes in subject’s ankle circumference as well as current body posture. An examination of our system with 15 subjects demonstrates the effectiveness and reliability of the proposed force-sensitive-resistor-based edema sensor (with an R2 of 0.87 for our regression model and intraclass correlation of 0.97) as well as an over 96 percent accuracy in activity monitoring that provide the means to perform reliable data validation on ankle circumference measurements in a continuous manner. Furthermore, we devise a novel derivative-free power optimization approach to maximize the battery lifetime resulting in improvement in battery lifetime by a factor of 2.13.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}