AIMC Topic: Activities of Daily Living
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The effects of error-augmentation versus error-reduction paradigms in robotic therapy to enhance upper extremity performance and recovery post-stroke: a systematic review.
Journal of neuroengineering and rehabilitation
Jul 4, 2018
Despite upper extremity function playing a crucial role in maintaining one's independence in activities of daily living, upper extremity impairments remain one of the most prevalent post-stroke deficits. To enhance the upper extremity motor recovery ...
When robots care: Public deliberations on how technology and humans may support independent living for older adults.
Social science & medicine (1982)
Jun 30, 2018
While assistive robots receive growing attention as a potential solution to support older adults to live independently, several scholars question the underlying social, ethical and health policy assumptions. One perplexing issue is determining whethe...
Assisting hand function after spinal cord injury with a fabric-based soft robotic glove.
Journal of neuroengineering and rehabilitation
Jun 28, 2018
BACKGROUND: Spinal cord injury is a devastating condition that can dramatically impact hand motor function. Passive and active assistive devices are becoming more commonly used to enhance lost hand strength and dexterity. Soft robotics is an emerging...
The effect of a wearable soft-robotic glove on motor function and functional performance of older adults.
Assistive technology : the official journal of RESNA
May 24, 2018
Reduced grip strength, resulting in difficulties in performing daily activities, is a common problem in the population of older adults. Newly developed soft-robotic devices have the potential to support older adults with reduced grip in daily activit...
Statistical machine learning of sleep and physical activity phenotypes from sensor data in 96,220 UK Biobank participants.
Scientific reports
May 21, 2018
Current public health guidelines on physical activity and sleep duration are limited by a reliance on subjective self-reported evidence. Using data from simple wrist-worn activity monitors, we developed a tailored machine learning model, using balanc...
Health management and pattern analysis of daily living activities of people with dementia using in-home sensors and machine learning techniques.
PloS one
May 3, 2018
The number of people diagnosed with dementia is expected to rise in the coming years. Given that there is currently no definite cure for dementia and the cost of care for this condition soars dramatically, slowing the decline and maintaining independ...
ESMAC BEST PAPER 2017: Using machine learning to overcome challenges in GMFCS level assignment.
Gait & posture
Apr 16, 2018
We used the random forest classifier to predict Gross Motor Function Classification System (GMFCS) levels I-IV from patient reported abilities recorded on the Gillette Functional Assessment Questionnaire (FAQ). The classifier exhibited outstanding ac...
Automatic food detection in egocentric images using artificial intelligence technology.
Public health nutrition
Mar 26, 2018
OBJECTIVE: To develop an artificial intelligence (AI)-based algorithm which can automatically detect food items from images acquired by an egocentric wearable camera for dietary assessment.
Training for mobility with exoskeleton robot in spinal cord injury patients: a pilot study.
European journal of physical and rehabilitation medicine
Mar 7, 2018
BACKGROUND: Wearable robots are people-oriented robots designed to be worn all day, thus helping in the daily activities. They can assist in walking, running, jumping higher or even lifting objects too heavy in normal conditions.
Using echo state networks for classification: A case study in Parkinson's disease diagnosis.
Artificial intelligence in medicine
Feb 21, 2018
Despite having notable advantages over established machine learning methods for time series analysis, reservoir computing methods, such as echo state networks (ESNs), have yet to be widely used for practical data mining applications. In this paper, w...
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