AIMC Topic: Monitoring, Ambulatory
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A Machine Learning Framework for Gait Classification Using Inertial Sensors: Application to Elderly, Post-Stroke and Huntington's Disease Patients.
Sensors (Basel, Switzerland)
Jan 21, 2016
Machine learning methods have been widely used for gait assessment through the estimation of spatio-temporal parameters. As a further step, the objective of this work is to propose and validate a general probabilistic modeling approach for the classi...
Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition.
Sensors (Basel, Switzerland)
Jan 18, 2016
Human activity recognition (HAR) tasks have traditionally been solved using engineered features obtained by heuristic processes. Current research suggests that deep convolutional neural networks are suited to automate feature extraction from raw sens...
A Context-Aware Application to Increase Elderly Users Compliance with Physical Rehabilitation Exercises at Home via Animatronic Biofeedback.
Journal of medical systems
Aug 30, 2015
Biofeedback from physical rehabilitation exercises has proved to lead to faster recovery, better outcomes, and increased patient motivation. In addition, it allows the physical rehabilitation processes carried out at the clinic to be complemented wit...
Automated Cognitive Health Assessment From Smart Home-Based Behavior Data.
IEEE journal of biomedical and health informatics
Aug 17, 2015
Smart home technologies offer potential benefits for assisting clinicians by automating health monitoring and well-being assessment. In this paper, we examine the actual benefits of smart home-based analysis by monitoring daily behavior in the home a...
Fall Down Detection Under Smart Home System.
Journal of medical systems
Aug 15, 2015
Medical technology makes an inevitable trend for the elderly population, therefore the intelligent home care is an important direction for science and technology development, in particular, elderly in-home safety management issues become more and mor...
A Context-Aware Interactive Health Care System Based on Ontology and Fuzzy Inference.
Journal of medical systems
Aug 12, 2015
In the present society, most families are double-income families, and as the long-term care is seriously short of manpower, it contributes to the rapid development of tele-homecare equipment, and the smart home care system gradually emerges, which as...
Measurement of Contact Behavior Including Slippage of Cuff When Using Wearable Physical Assistant Robot.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Aug 11, 2015
Continuous use of wearable robots can cause skin injuries beneath the cuffs of robots. To prevent such injuries, understanding the contact behavior of the cuff is important. Thus far, this contact behavior has not been studied because of the difficul...
Analyzing Activity Behavior and Movement in a Naturalistic Environment Using Smart Home Techniques.
IEEE journal of biomedical and health informatics
Aug 6, 2015
One of the many services that intelligent systems can provide is the ability to analyze the impact of different medical conditions on daily behavior. In this study, we use smart home and wearable sensors to collect data, while ( n = 84) older adults ...
Simulation of Smart Home Activity Datasets.
Sensors (Basel, Switzerland)
Jun 16, 2015
A globally ageing population is resulting in an increased prevalence of chronic conditions which affect older adults. Such conditions require long-term care and management to maximize quality of life, placing an increasing strain on healthcare resour...
Estimating Energy Expenditure With Multiple Models Using Different Wearable Sensors.
IEEE journal of biomedical and health informatics
May 13, 2015
This paper presents an approach to designing a method for the estimation of human energy expenditure (EE). The approach first evaluates different sensors and their combinations. After that, multiple regression models are trained utilizing data from d...
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