Variable Resistance Training Combined With Static Traction Computer Vision Applied in Neck and Shoulder Rehabilitation Training for College Students

This study evaluates the effectiveness of static traction combined with variable resistance training in rehabilitating college students with neck and shoulder diseases. Ninety students were randomly assigned to receive either static traction alone or combined therapy. Visual analogue scale (VAS), ne...

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Veröffentlicht in:International journal of decision support system technology 2024-11, Vol.16 (1), p.1-18
Hauptverfasser: Liu, Yang, Ran, NingPei, He, Yi, Wu, Gang, Zhao, XiaoPeng, Cao, Miao, Luo, Guangxia
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container_title International journal of decision support system technology
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creator Liu, Yang
Ran, NingPei
He, Yi
Wu, Gang
Zhao, XiaoPeng
Cao, Miao
Luo, Guangxia
description This study evaluates the effectiveness of static traction combined with variable resistance training in rehabilitating college students with neck and shoulder diseases. Ninety students were randomly assigned to receive either static traction alone or combined therapy. Visual analogue scale (VAS), neck disability index (NDI), cervical range of motion, electromyography (EMG), and soft tissue parameters were assessed pre- and post-treatment. Both groups showed improved VAS and NDI scores post-treatment, with greater enhancements in the combined therapy group. Cervical range of motion, EMG values, and soft tissue parameters also favored the combined therapy. Statistical analysis revealed significant differences (P
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subjects Analgesics
Chronic illnesses
College students
Colleges & universities
Computer vision
Decision support systems
Drug therapy
Electromyography
Neck
Pain
Parameters
Patients
Posture
Quality of life
Range of motion
Rehabilitation
Resistance training
Shoulder
Soft tissues
Statistical analysis
Strength training
Students
Surgery
Therapy
Traction
title Variable Resistance Training Combined With Static Traction Computer Vision Applied in Neck and Shoulder Rehabilitation Training for College Students
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