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Traditional approaches to measurement in upper-limb therapy have gaps that electronic sensing and recording can help fill. We highlight shortcomings in current kinematic recording devices, and we introduce a wrist sensing device that…

Robotics · Computer Science 2024-11-20 Jacob Carducci , Jeremy D. Brown

Background: Upper-limb weakness and tremor (4--12 Hz) limit activities of daily living (ADL) and reduce adherence to home rehabilitation. Objective: To assess technical feasibility and clinician-relevant signals of a sensor-fused wearable…

Signal Processing · Electrical Eng. & Systems 2025-10-28 Thanyanee Srichaisak , Arissa Ieochai , Aueaphum Aueawattthanaphisut

Anterior cruciate ligament (ACL) reconstruction necessitates months of rehabilitation, during which a clinician evaluates whether a patient is ready to return to sports or occupation. Due to their time- and cost-intensive nature, these…

Patient mobility monitoring in intensive care is critical for ensuring timely interventions and improving clinical outcomes. While accelerometry-based sensor data are widely adopted in training artificial intelligence models to estimate…

At-home rehabilitation for post-stroke patients presents significant challenges, as continuous, personalized care is often limited outside clinical settings. Moreover, the lack of integrated solutions capable of simultaneously monitoring…

Patient outcome prediction is critical in management of ischemic stroke. In this paper, a novel machine learning model is proposed for stroke outcome prediction using multimodal Magnetic Resonance Imaging (MRI). The proposed model consists…

Computer Vision and Pattern Recognition · Computer Science 2023-03-17 Nima Hatami , Laura Mechtouff , David Rousseau , Tae-Hee Cho , Omer Eker , Yves Berthezene , Carole Frindel

Electromyogram (EMG) pattern recognition can be used to classify hand gestures and movements for human-machine interface and prosthetics applications, but it often faces reliability issues resulting from limb position change. One method to…

Machine Learning · Computer Science 2021-03-10 Andy Zhou , Rikky Muller , Jan Rabaey

Pain and physical function are both essential indices of recovery in critically ill patients in the Intensive Care Units (ICU). Simultaneous monitoring of pain intensity and patient activity can be important for determining which analgesic…

Signal Processing · Electrical Eng. & Systems 2020-10-13 Florenc Demrozi , Graziano Pravadelli , Patrick J Tighe , Azra Bihorac , Parisa Rashidi

The upper limb of the body is a vital for various kind of activities for human. The complete or partial loss of the upper limb would lead to a significant impact on daily activities of the amputees. EMG carries important information of…

Human-Computer Interaction · Computer Science 2024-10-28 Sidharth Pancholi , Amit M. Joshi Deepak Joshi , Bradly S. Duerstock

Post-stroke MRI not only delineates focal lesions but also reveals secondary structural changes, such as atrophy and ventricular enlargement. These abnormalities, increasingly recognised as imaging biomarkers of recovery and outcome, remain…

Computer Vision and Pattern Recognition · Computer Science 2025-10-29 Youwan Mahé , Elise Bannier , Stéphanie Leplaideur , Elisa Fromont , Francesca Galassi

Low physical activity levels in the intensive care units (ICU) patients have been linked to adverse clinical outcomes. Therefore, there is a need for continuous and objective measurement of physical activity in the ICU to quantify the…

Human-Computer Interaction · Computer Science 2021-10-08 Anis Davoudi , Patrick J. Tighe , Azra Bihorac , Parisa Rashidi

This paper presents an approach for detecting unilateral arm paralysis/weakness using kinematic data. Our method employs temporal convolution networks and recurrent neural networks, guided by knowledge distillation, where we use inertial…

Computer Vision and Pattern Recognition · Computer Science 2023-11-29 Kenneth Lai , Mohammed Almekhlafi , Svetlana Yanushkevich

Current management of bipolar disorder relies on self-reported questionnaires and interviews with clinicians. The development of objective measures of deteriorating mood may also allow for early interventions to take place to avoid…

Signal Processing · Electrical Eng. & Systems 2020-07-08 Oliver Carr , Fernando Andreotti , Kate E. A. Saunders , Niclas Palmius , Guy M. Goodwin , Maarten De Vos

Active arterial mechanics, governed by vascular smooth muscle contraction, are critical to physiological regulation, cardiovascular disease progression, and clinical diagnosis. Although various in vivo methods have been developed to assess…

Medical Physics · Physics 2026-01-21 Yuxuan Jiang , Yanping Cao

Postoperative stroke remains a critical complication in elderly surgical intensive care unit (SICU) patients, contributing to prolonged hospitalization, elevated healthcare costs, and increased mortality. Accurate early risk stratification…

Quantitative Methods · Quantitative Biology 2025-06-05 Tinghuan Li , Shuheng Chen , Junyi Fan , Elham Pishgar , Kamiar Alaei , Greg Placencia , Maryam Pishgar

The loss of limb motion arising from damage to the spinal cord is a disability that could effect people while performing their day-to-day activities. The restoration of limb movement would enable people with spinal cord injury to interact…

Human-Computer Interaction · Computer Science 2022-11-16 Saadat Ullah Khan , Muhammad Majid , Syed Muhammad Anwar

This study investigates the impact of electrode shift and sensor reapplication on common surface electromyography (sEMG) features in lower limb muscles, factors which have, thus far, precluded clinicians from being able to attribute…

Signal Processing · Electrical Eng. & Systems 2025-09-19 Fraser Douglas , Mona Pei , Calvin Kuo

This article explores assistive devices for upper limb movement in people with disabilities through a systematic review based on the PRISMA methodology. The studied devices encompass technologies ranging from orthoses to advanced robotics,…

Ankle exoskeletons have garnered considerable interest for their potential to enhance mobility and reduce fall risks, particularly among the aging population. The efficacy of these devices relies on accurate real-time prediction of the…

Systems and Control · Electrical Eng. & Systems 2024-11-26 Silas Ruhrberg Estévez , Josée Mallah , Dominika Kazieczko , Chenyu Tang , Luigi G. Occhipinti

Mobility impairment caused by limb loss is a significant challenge faced by millions of individuals worldwide. The development of advanced assistive technologies, such as prosthetic devices, has the potential to greatly improve the quality…

Machine Learning · Computer Science 2024-03-13 Sharmita Dey , Sarath R. Nair