A Telepresence System for Therapist-in-the-Loop Training for Elbow Joint Rehabilitation

Autor: Shuxiang Guo, Qiang Fu, Yili Fu, Songyuan Zhang
Jazyk: angličtina
Rok vydání: 2019
Předmět:
0209 industrial biotechnology
Computer science
medicine.medical_treatment
0206 medical engineering
Elbow
force feedback
02 engineering and technology
lcsh:Technology
behavioral disciplines and activities
Motion (physics)
lcsh:Chemistry
020901 industrial engineering & automation
Human–computer interaction
medicine
General Materials Science
Exoskeleton Device
Instrumentation
lcsh:QH301-705.5
Haptic technology
Fluid Flow and Transfer Processes
Rehabilitation
lcsh:T
Process Chemistry and Technology
exoskeleton
General Engineering
Process (computing)
therapist-in-the-loop
020601 biomedical engineering
lcsh:QC1-999
elbow joint rehabilitation
Computer Science Applications
Exoskeleton
medicine.anatomical_structure
lcsh:Biology (General)
lcsh:QD1-999
lcsh:TA1-2040
visually shared model
Joint (audio engineering)
lcsh:Engineering (General). Civil engineering (General)
human activities
lcsh:Physics
Zdroj: Applied Sciences
Volume 9
Issue 8
Applied Sciences, Vol 9, Iss 8, p 1710 (2019)
ISSN: 2076-3417
DOI: 10.3390/app9081710
Popis: This paper proposes a new robotic rehabilitation training platform that is motivated by the requirement for adjusting the training strategy and intensity in a patient-specific manner. The platform is implemented for tele-rehabilitation and is comprised of a haptic device operated by therapists, a lightweight exoskeleton worn by patients and a visually shared model. Through the visually shared model, the motion of the therapist and patient are measured and mapped to the motion of the corresponding object. Thus, the force generated by the therapist can be transferred to the patient for delivering training, while real-time force feedback with high transparency can be provided to the therapist so they know the amount of force being applied to patients in real time. In particular, both assistive therapy in the early stages and resistive therapy in the later stages of stroke can be performed. The home-use exoskeleton device is specifically designed to be light-weight and compliant for safety. The patient-exoskeleton and therapist-haptic interaction performance is evaluated by observing the muscle activities and interaction force. Two volunteers were requested to imitate the process of the therapist-in-the-loop training to evaluate the proposed platform.
Databáze: OpenAIRE