AIMC Topic: Physical Therapists
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User Experience Evaluation of Upper Limb Rehabilitation Robots: Implications for Design Optimization: A Pilot Study.
Sensors (Basel, Switzerland)
Nov 6, 2023
With the development of science and technology, people are trying to use robots to assist in stroke rehabilitation training. This study aims to analyze the result of the formative test to provide the orientation of upper limb rehabilitation robot des...
The-state-of-the-art of soft robotics to assist mobility: a review of physiotherapist and patient identified limitations of current lower-limb exoskeletons and the potential soft-robotic solutions.
Journal of neuroengineering and rehabilitation
Jan 30, 2023
BACKGROUND: Soft, wearable, powered exoskeletons are novel devices that may assist rehabilitation, allowing users to walk further or carry out activities of daily living. However, soft robotic exoskeletons, and the more commonly used rigid exoskeleto...
Artificial intelligence application versus physical therapist for squat evaluation: a randomized controlled trial.
Scientific reports
Sep 13, 2021
Artificial intelligence technology is becoming more prevalent in health care as a tool to improve practice patterns and patient outcomes. This study assessed ability of a commercialized artificial intelligence (AI) mobile application to identify and ...
How to replace a physiotherapist: artificial intelligence and the redistribution of expertise.
Physiotherapy theory and practice
Jun 3, 2021
The convergence of large datasets, increased computational power, and enhanced algorithm design has led to the increased success of machine learning (ML) and artificial intelligence (AI) across a wide variety of healthcare professions but which, so f...
ICU staffing feature phenotypes and their relationship with patients' outcomes: an unsupervised machine learning analysis.
Intensive care medicine
Oct 8, 2019
PURPOSE: To study whether ICU staffing features are associated with improved hospital mortality, ICU length of stay (LOS) and duration of mechanical ventilation (MV) using cluster analysis directed by machine learning.
Towards On-Demand Virtual Physical Therapist: Machine Learning-Based Patient Action Understanding, Assessment and Task Recommendation.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Aug 8, 2019
In this paper, we propose a machine learning-based virtual physical therapist (PT) system to enable personalized remote training for patients with Parkinson's disease (PD). Three physical therapy tasks with multiple difficulty levels are selected to ...
Aged, 80 and over
Biomechanical Phenomena
Male
Middle Aged
User-Computer Interface
Parkinson Disease
Exercise Therapy
Psychomotor Performance
Precision Medicine
Female
Reproducibility of Results
Aged
Humans
Machine Learning
Algorithms
Physical Therapists
Automation
Movement
Physical Therapy Modalities
Motivation, expectations, and usability of a driven gait orthosis in stroke patients and their therapists.
Topics in stroke rehabilitation
Dec 20, 2016
BACKGROUND: In the development of efficacious driven gait orthoses (DGO), it is an added value to consider patients' and therapists' perspectives concerning robot-assisted gait training (RAGT). A better understanding of these issues may improve the p...
The use of robotic upper limb therapy in routine clinical practice for stroke survivors: Insights from Australian therapists.
Australian occupational therapy journal
Apr 1, 2025
INTRODUCTION: There is a limited understanding of therapist acceptance and use of robot-assisted upper limb therapy (RT-ULT) in routine practice. The aim of this study was to explore the factors that influence Australian therapist acceptance and use ...
Adoption of robotic stroke rehabilitation into clinical settings: a qualitative descriptive analysis.
JBI evidence implementation
Dec 1, 2020
AIM: Through this qualitative research of clinicians' perspectives and experiences, we seek to inform rehabilitation clinicians about the various aspects of adopting and integrating robotic stroke therapy into clinical settings.
Towards quantifying dynamic human-human physical interactions for robot assisted stroke therapy.
IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Jul 1, 2017
Human-Robot Interaction is a prominent field of robotics today. Knowledge of human-human physical interaction can prove vital in creating dynamic physical interactions between human and robots. Most of the current work in studying this interaction ha...
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