Please use this identifier to cite or link to this item: https://ir.swu.ac.th/jspui/handle/123456789/11926
ชื่อเรื่อง: Stroke Rehabilitation based on Intelligence Interaction System
ผู้แต่ง: Piraintorn P.
Sa-Ing V.
Keywords: Artificial intelligence
Cameras
Neuromuscular rehabilitation
Physical therapy
Guidance system
Interaction systems
Medical doctors
Monitoring and evaluations
Segmentation results
Shoulder joints
Stroke patients
Stroke rehabilitation
Patient treatment
วันที่เผยแพร่: 2020
บทคัดย่อ: Stroke rehabilitation is an important requirement of patient treatment after recovering from stroke disease. However, a physical therapist can only observe once a patient at a time. Moreover, it takes a lot of time to suggest and evaluate the correction. From this problem, this research will develop the new rehabilitation guidance systems that assist the physical therapist and medical doctor. The intelligence interaction system is proposed for detection and monitoring the rehabilitation of the stroke patient who stays on the bed. The proposed system detects a stroke patient by using a 3D camera, which is the Intel Realsense D415, to place at the end of the patient bed for extracting the patient from the bed by measuring the distance between the patient and bed. From the segmentation result of the patient, the proposed system evaluates the rehab posture of the patient by detection from the simulated skeleton to calculate from the changing degree of the shoulder joint, elbow joint, and wrist joint. In addition, the proposed system uses the capabilities of artificial intelligence to check the accuracy of physiotherapy patients and show to the patients how to perform physical therapy correctly. From the experiment results, the proposed system represents the effective monitoring and evaluation of the stroke rehabilitation that the program can accurately count the arm flexion gesture therapy. Therefore, the intelligence interaction system can usefully help the physical therapist to monitor and evaluate the rehabilitation of stroke on the bed. © 2020 IEEE.
URI: https://ir.swu.ac.th/jspui/handle/123456789/11926
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091878596&doi=10.1109%2fECTI-CON49241.2020.9158104&partnerID=40&md5=4053c5fae23f4980a679f99f2ec174c4
Appears in Collections:Scopus 1983-2021

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