KOA Massage Robot: A Study on the Reduction of TCM Manipulation Based on PSO-BP Algorithm

The aging population in China is increasing the prevalence of degenerative diseases such as knee osteoarthritis (KOA), which significantly impacts the elderly's quality of life. Traditional Chinese Medicine (TCM) massage has been effective in alleviating KOA symptoms; however, the physician-pat...

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Bibliographic Details
Published in:IEEE access Vol. 12; pp. 149367 - 149380
Main Authors: Shen, Yichun, Wang, Shuyi, Shen, Yuhan, Xing, Hua, Gong, Li, Hu, Jingyi
Format: Journal Article
Language:English
Published: Piscataway IEEE 2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Accuracy
Algorithms
Back propagation
Control systems
Degenerative diseases
Design optimization
Effectiveness
Force
Health services
Improved particle swarm optimization
Knee
Medical services
Medical treatment
Neural networks
Older adults
Older people
optimization BP neural network
Particle swarm optimization
Physicians
Robot sensing systems
Robotics
Robots
Structural design
TCM massage
Traditional Chinese medicine
Visual observation
ISSN:2169-3536, 2169-3536
Online Access:Get full text
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Summary:The aging population in China is increasing the prevalence of degenerative diseases such as knee osteoarthritis (KOA), which significantly impacts the elderly's quality of life. Traditional Chinese Medicine (TCM) massage has been effective in alleviating KOA symptoms; however, the physician-patient ratio and the physical demands on practitioners pose challenges. This study introduces the KOA massage robot, designed to replicate the seated knee adjustment manipulation, a specific TCM technique. The robot's structural design and a Particle Swarm Optimization-Back Propagation (PSO-BP) algorithm are integrated to reduce the manipulation required by physicians and to assist in KOA massage treatment. The robot's force prediction accuracy was determined to be 5.34N on average, and its therapeutic efficacy was supported by Surface Electromyography (sEMG) and Visual Analog Scale (VAS) assessments, demonstrating pain relief and improved quadriceps muscle activation in KOA patients. The experimental validation involved a comparison between traditional manual massage and the robotic intervention. The results showed that the robot could achieve an average increase in integrated EMG (iEMG) of 47%, closely mirroring the 45.37% increase observed in the manual treatment group. Similarly on VAS scores, the robotic intervention group obtained a decrease of 28.12%. This study's findings not only highlight the potential of integrating TCM principles with modern robotics but also pave the way for a new paradigm in elderly care, where personalized and efficient KOA management is within reach.
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ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2024.3471889