EXAMINING PAIN REDUCTION AND PHYSIOLOGICAL CHANGES WITH FAR-INFRARED GRAPHENE-BASED THERMOTHERAPY IN LOW BACK PAIN MANAGEMENT.
Published In: Journal of Mechanics in Medicine & Biology, 2025, v. 25, n. 3. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: USMAN, JULIANA; LEE, XIN; HEW, YI KEI; YEOH, PAULINE SHAN QING; HAMZAH, NORHAMIZAN; CHUAH, JOON HUANG; LAI, KHIN WEE 3 of 3
Abstract
Lower back pain is one of the most prevalent health issues, affecting more than 80% of adults worldwide. Thermotherapy including heat wrap and dry sauna has long been utilized for pain relief and relaxation. Far-infrared graphene-based thermography is a heat therapy method where the graphene emits far-infrared rays that can penetrate human skin. However, its effects remain largely unstudied compared to conventional thermotherapy. This study investigates the impact of far-infrared graphene-based thermotherapy on healthy individuals and individuals associated with nonspecific low back pain. Over four sessions, 24 subjects undergo 30 min treatments, with measurements including body heat profiles, blood oxygen levels, joint angles, pain scales, and Oswestry scores. Results indicate increased body heat and blood oxygen levels post-treatment, alongside significant reductions in pain scores. However, changes in joint angles were not statistically significant, suggesting no immediate impact on locomotion. In conclusion, far-infrared graphene-based thermotherapy shows promise for pain relief and improved blood oxygenation, however, it has not been proven to improve locomotion. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Journal of Mechanics in Medicine & Biology. 2025/04, Vol. 25, Issue 3, p1
- Document Type:Article
- Subject Area:Health and Medicine
- Publication Date:2025
- ISSN:0219-5194
- DOI:10.1142/S0219519424500404
- Accession Number:184634218
- Copyright Statement:Copyright of Journal of Mechanics in Medicine & Biology is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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