Learning to assess the quality of stroke rehabilitation exercises
Due to the limited number of therapists, task-oriented exercises are often prescribed for post-
stroke survivors as in-home rehabilitation. During in-home rehabilitation, a patient may …
stroke survivors as in-home rehabilitation. During in-home rehabilitation, a patient may …
Interactive hybrid approach to combine machine and human intelligence for personalized rehabilitation assessment
Automated assessment of rehabilitation exercises using machine learning has a potential to
improve current rehabilitation practices. However, it is challenging to completely replicate …
improve current rehabilitation practices. However, it is challenging to completely replicate …
An exploratory study on techniques for quantitative assessment of stroke rehabilitation exercises
Technology-assisted systems to monitor and assess rehabilitation exercises have an
opportunity of enhancing rehabilitation practices by automatically collecting patient's …
opportunity of enhancing rehabilitation practices by automatically collecting patient's …
Opportunities of a machine learning-based decision support system for stroke rehabilitation assessment
Rehabilitation assessment is critical to determine an adequate intervention for a patient.
However, the current practices of assessment mainly rely on therapist's experience, and …
However, the current practices of assessment mainly rely on therapist's experience, and …
An Expert-Knowledge-Based Graph Convolutional Network for Skeleton-Based Physical Rehabilitation Exercises Assessment
Physical therapists play a crucial role in guiding patients through effective and safe
rehabilitation processes according to medical guidelines. However, due to the therapist …
rehabilitation processes according to medical guidelines. However, due to the therapist …
Interactive hybrid intelligence systems for human-AI/robot collaboration: Improving the practices of physical stroke rehabilitation
MH Lee - 2021 - search.proquest.com
Rapid advances in machine learning (ML) have made it applicable to healthcare practices.
However, the deployment of these ML models remains a challenge due to the lack of user …
However, the deployment of these ML models remains a challenge due to the lack of user …
[PDF][PDF] A usage and motivational model for wearable technology: a users' perspective
H O'Sullivan - 2019 - researchrepository.rmit.edu.au
Wearable technology is a rapidly growing field and can have a great impact on everyday life.
It is becoming mainstream, and we need to understand how and why we use it. Wearable …
It is becoming mainstream, and we need to understand how and why we use it. Wearable …
Wearable haptic devices for gait re-education by rhythmic haptic cueing
R Islam - 2018 - oro.open.ac.uk
This research explores the development and evaluation of wearable haptic devices for gait
sensing and rhythmic haptic cueing in the context of gait re-education for people with …
sensing and rhythmic haptic cueing in the context of gait re-education for people with …
Reconhecimento de gestos de membros superiores usando eletromiografia de superfície para uso em reabilitação
LF Aguiar - 2018 - icts.unb.br
Tecnologias vestíveis são um dos focos de estudo da computação ubíqua, que por sua vez
está na vanguarda do recente paradigma da computação em que um usuário está cercado …
está na vanguarda do recente paradigma da computação em que um usuário está cercado …