AIMC Topic: Activities of Daily Living
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A Study on the Application of Convolutional Neural Networks to Fall Detection Evaluated with Multiple Public Datasets.
Sensors (Basel, Switzerland)
Mar 6, 2020
Due to the repercussion of falls on both the health and self-sufficiency of older people and on the financial sustainability of healthcare systems, the study of wearable fall detection systems (FDSs) has gained much attention during the last years. T...
Performance Analysis of Boosting Classifiers in Recognizing Activities of Daily Living.
International journal of environmental research and public health
Feb 8, 2020
Physical activity is essential for physical and mental health, and its absence is highly associated with severe health conditions and disorders. Therefore, tracking activities of daily living can help promote quality of life. Wearable sensors in this...
Evaluating the sit-to-stand transfer assistance from a smart walker in older adults with motor impairments.
Geriatrics & gerontology international
Jan 31, 2020
AIM: To evaluate the effectiveness and user satisfaction with the sit-to-stand (STS) assistance system of a smart walker (SW), and to identify factors associated with them in potential users.
Does robot-assisted gait training improve mobility, activities of daily living and quality of life in stroke? A single-blinded, randomized controlled trial.
Acta neurologica Belgica
Jan 28, 2020
The purpose of this study was to investigate the effects of robot-assisted gait training (RAGT) on mobility, activities of daily living (ADLs), and quality of life (QoL) in stroke rehabilitation. Fifty-one stroke patients randomly assigned to Group 1...
System Design for Emergency Alert Triggered by Falls Using Convolutional Neural Networks.
Journal of medical systems
Jan 6, 2020
The world population ageing is on the rise, which has led to an increase in the demand for medical care due to diseases and symptoms prevalent in health centers. One of the most prevalent symptoms prevalent in older adults is falls, which affect one-...
A Multimodal Wearable System for Continuous and Real-Time Breathing Pattern Monitoring During Daily Activity.
IEEE journal of biomedical and health informatics
Dec 31, 2019
OBJECTIVE: This study aims to understand breathing patterns during daily activities by developing a wearable respiratory and activity monitoring (WRAM) system.
Application of Machine Learning for Predicting Clinically Meaningful Outcome After Arthroscopic Femoroacetabular Impingement Surgery.
The American journal of sports medicine
Dec 23, 2019
BACKGROUND: Hip arthroscopy has become an important tool for surgical treatment of intra-articular hip pathology. Predictive models for clinically meaningful outcomes in patients undergoing hip arthroscopy for femoroacetabular impingement syndrome (F...
Improving gesture-based interaction between an assistive bathing robot and older adults via user training on the gestural commands.
Archives of gerontology and geriatrics
Dec 13, 2019
BACKGROUND: Gesture-based human-robot interaction (HRI) depends on the technical performance of the robot-integrated gesture recognition system (GRS) and on the gestural performance of the robot user, which has been shown to be rather low in older ad...
Myoelectric Control of a Soft Hand Exoskeleton Using Kinematic Synergies.
IEEE transactions on biomedical circuits and systems
Oct 28, 2019
Soft hand exoskeletons offer a lightweight, low-profile alternative to rigid rehabilitative robotic systems, enabling their use to restore activities of daily living (ADL) in those with hand paresis due to stroke or other conditions. The hand exoskel...
Recognizing Human Daily Activity Using Social Media Sensors and Deep Learning.
International journal of environmental research and public health
Oct 17, 2019
The human daily activity category represents individual lifestyle and pattern, such as sports and shopping, which reflect personal habits, lifestyle, and preferences and are of great value for human health and many other application fields. Currently...
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