AIMC Topic: Activities of Daily Living
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Learning garment manipulation policies toward robot-assisted dressing.
Science robotics
Apr 6, 2022
Assistive robots have the potential to support people with disabilities in a variety of activities of daily living, such as dressing. People who have completely lost their upper limb movement functionality may benefit from robot-assisted dressing, wh...
Does frequent use of an exoskeletal upper limb robot improve motor function in stroke patients?
Disability and rehabilitation
Mar 25, 2022
PURPOSE: To determine how differences in frequency of the single-joint hybrid assistive limb (HAL-SJ) use affect the improvement of upper limb motor function and activities of daily living (ADL) in stroke patients.
Daily motionless activities: A dataset with accelerometer, magnetometer, gyroscope, environment, and GPS data.
Scientific data
Mar 25, 2022
The dataset presented in this paper presents a dataset related to three motionless activities, including driving, watching TV, and sleeping. During these activities, the mobile device may be positioned in different locations, including the pants pock...
A Robotic System to Deliver Multiple Physically Bimanual Tasks via Varying Force Fields.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Mar 22, 2022
Individuals with physical limb disabilities are often restricted to perform activities of daily life (ADLs). While efficacy of bilateral training has been demonstrated in improving physical coordination of human limbs, few robots have been developed ...
Robot-assisted training using hybrid assistive limb ameliorates gait ability in patients with amyotrophic lateral sclerosis.
Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia
Mar 10, 2022
OBJECTIVE: The Hybrid Assistive Limb (HAL; CYBERDYNE, Inc., Japan) is a wearable robot device that provides effective gait assistance according to voluntary intention by detecting weak bioelectrical signals of neuromuscular activity on the surface of...
Cognitive Impairment of Patient With Neurological Cerebrovascular Disease Using the Artificial Intelligence Technology Guided by MRI.
Frontiers in public health
Mar 3, 2022
This study was to explore the application of MRI based on artificial intelligence technology combined with neuropsychological assessment to the cognitive impairment of patients with neurological cerebrovascular diseases. A total of 176 patients were ...
Effects of the Robot-Assisted Gait Training Device Plus Physiotherapy in Improving Ambulatory Functions in Patients With Subacute Stroke With Hemiplegia: An Assessor-Blinded, Randomized Controlled Trial.
Archives of physical medicine and rehabilitation
Feb 7, 2022
OBJECTIVE: To investigate the effects of the robot-assisted gait training (RAGT) device plus physiotherapy vs physiotherapy alone in improving ambulatory functions in patients with subacute stroke with hemiplegia.
Robot-assisted distal training improves upper limb dexterity and function after stroke: a systematic review and meta-regression.
Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology
Jan 28, 2022
INTRODUCTION: Stroke is one of the top 10 causes of death worldwide, and more than half of stroke patients face distal upper extremity dysfunction. Considering that robot-assisted training may be effective in improving distal upper extremity function...
Probabilistic Model-Based Learning Control of a Soft Pneumatic Glove for Hand Rehabilitation.
IEEE transactions on bio-medical engineering
Jan 20, 2022
OBJECTIVE: Stroke survivors are usually unable to perform activities of daily living (ADL) independently due to loss of hand functions. Soft pneumatic gloves provide a promising assistance approach for stroke survivors to conduct ADL tasks. However, ...
Using Machine Learning to Develop a Short-Form Measure Assessing 5 Functions in Patients With Stroke.
Archives of physical medicine and rehabilitation
Dec 31, 2021
OBJECTIVE: This study aimed to develop and validate a machine learning-based short measure to assess 5 functions (the ML-5F) (activities of daily living [ADL], balance, upper extremity [UE] and lower extremity [LE] motor function, and mobility) in pa...
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