AIMC Topic: Activities of Daily Living
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A Novel Bilateral Underactuated Upper Limb Exoskeleton for Post-Stroke Bimanual ADL Training.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Sep 16, 2024
This paper introduces a lightweight bilateral underactuated upper limb exoskeleton (UULE) designed to assist chronic stroke patients with distal joint (Elbow-Wrist) impairments during bimanual activities of daily living (ADL). The UULE aims to assist...
Self-supervised learning of wrist-worn daily living accelerometer data improves the automated detection of gait in older adults.
Scientific reports
Sep 6, 2024
Progressive gait impairment is common among aging adults. Remote phenotyping of gait during daily living has the potential to quantify gait alterations and evaluate the effects of interventions that may prevent disability in the aging population. Her...
Prediction of cognitive impairment among Medicare beneficiaries using a machine learning approach.
Archives of gerontology and geriatrics
Sep 5, 2024
OBJECTIVE: Developing machine learning (ML) models to predict cognitive impairment among Medicare beneficiaries in the United States.
Empowering High-Level Spinal Cord Injury Patients in Daily Tasks With a Hybrid Gaze and FEMG-Controlled Assistive Robotic System.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Aug 20, 2024
Individuals with high-level spinal cord injuries often face significant challenges in performing essential daily tasks due to their motor impairments. Consequently, the development of reliable, hands-free human-computer interfaces (HCI) for assistive...
CASL: Capturing Activity Semantics Through Location Information for Enhanced Activity Recognition.
IEEE/ACM transactions on computational biology and bioinformatics
Aug 8, 2024
Using portable tools to monitor and identify daily activities has increasingly become a focus of digital healthcare, especially for elderly care. One of the difficulties in this area is the excessive reliance on labeled activity data for correspondin...
Machine learning-based prediction model of lower extremity deep vein thrombosis after stroke.
Journal of thrombosis and thrombolysis
Jul 27, 2024
This study aimed to apply machine learning (ML) techniques to develop and validate a risk prediction model for post-stroke lower extremity deep vein thrombosis (DVT) based on patients' limb function, activities of daily living (ADL), clinical laborat...
What factors preventing the older adults in China from living longer: a machine learning study.
BMC geriatrics
Jul 22, 2024
BACKGROUND: The fact that most older people do not live long means that they do not have more time to pursue self-actualization and contribute value to society. Although there are many studies on the longevity of the elderly, the limitations of tradi...
Automated Detection of In-Home Activities with Ultra-Wideband Sensors.
Sensors (Basel, Switzerland)
Jul 20, 2024
As Canada's population of older adults rises, the need for aging-in-place solutions is growing due to the declining quality of long-term-care homes and long wait times. While the current standards include questionnaire-based assessments for monitorin...
Examining individual and contextual predictors of disability in Chinese older adults: A machine learning approach.
International journal of medical informatics
Jul 15, 2024
BACKGROUND: There is a large gap of understanding the determinants of disability, especially the contextual characteristics. Therefore, this study aimed to examine the important predictors of disability in Chinese older adults based on the social eco...
Letter to the Editor: "The Combined Effect of Robot-assisted Therapy and Activities of Daily Living Training on Upper Limb Recovery in Persons With Subacute Stroke: A Randomized Controlled Trial".
Archives of physical medicine and rehabilitation
Jul 2, 2024
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