Computer Kinesiology: New Diagnostic and Therapeutic Tool for Lower Back Pain Treatment (Pilot Study)

Author:

Honcu Pavla1ORCID,Zach Petr23,Mrzilkova Jana2ORCID,Jandova Dobroslava45,Musil Vladimir6ORCID,Celko Alexander Martin7

Affiliation:

1. Department of Rehabilitation Medicine, Third Faculty of Medicine, Charles University, Prague, Czech Republic

2. Department of Anatomy, Third Faculty of Medicine, Charles University, Prague, Czech Republic

3. Institute of Physiotherapy and Selected Medical Disciplines, Faculty of Health and Social Studies, University of South Bohemia in České Budějovice, České Budějovice, Czech Republic

4. MediCentrum JONA Ltd., Prague, Czech Republic

5. Department of Rehabilitation Medicine, University Hospital Kralovske Vinohrady, Prague, Czech Republic

6. Centre of Scientific Information, Third Faculty of Medicine, Charles University, Prague, Czech Republic

7. Department of Epidemiology and Biostatistics, Third Faculty of Medicine, Charles University, Prague, Czech Republic

Abstract

The aim of this study was to demonstrate the effectiveness of the diagnostic and therapeutic medical information system Computer Kinesiology in physiotherapy in patients with low back pain who were not responding to conventional therapy. Computer Kinesiology is primarily intended for the diagnostics and therapy of functional disorders of the locomotor system. This pilot study population included 55 patients (Group 1) with acute and chronic back pain and 51 persons (Group 2) without back pain. The third group was a control group of 67 healthy volunteers with no evidence of musculoskeletal pathologies and no back pain. All 173 subjects were examined three times by the diagnostic part of the Computer Kinesiology method. Groups 1 and 2 were treated after every diagnostics. Group 3 was not treated. The effect was evaluated by H score. Improvements after therapy were defined by reducing the H score by at least 1 point. In Group 1, the H score decreased by at least 1 point in 87.3% (95% CI: 75.5-94.7) and in Group 2 in 78.4% (95% CI: 64.7-88.7). There was no change of distribution of H Score grade in Group 3. The improvement neither depended on gender, age, and BMI nor was it influenced by the length of the therapy. This study demonstrated a high therapeutic efficacy of the Computer Kinesiology system in patients with back pain (Group 1) and in persons without back pain (Group 2) who used the Computer Kinesiology system for primary and secondary prevention of back pain.

Funder

Univerzita Karlova v Praze

Publisher

Hindawi Limited

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Using artificial intelligence to improve pain assessment and pain management: a scoping review;Journal of the American Medical Informatics Association;2022-12-02

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