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Analyze of sex differences and Electromyography and autonomic nervous system responses to Micro current stimulation

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dc.contributor.authorKim, SeungHui-
dc.contributor.authorKang, SuLim-
dc.contributor.authorKwon, JiYean-
dc.contributor.authorKim, SungMin-
dc.date.accessioned2025-08-05T06:30:12Z-
dc.date.available2025-08-05T06:30:12Z-
dc.date.issued2025-
dc.identifier.issn2372-918X-
dc.identifier.issn2372-9198-
dc.identifier.urihttps://scholarworks.dongguk.edu/handle/sw.dongguk/58910-
dc.description.abstractWith the increasing aging population, chronic pain and musculoskeletal disorders have become significant health concerns, leading to a growing demand for non-invasive pain management strategies such as transcutaneous electrical nerve stimulation (TENS). While TENS is widely used for pain relief and neuromuscular regulation, sex differences in physiological responses remain underexplored. This study investigates sex-specific autonomic nervous system (ANS) and electromyography (EMG) responses to TENS stimulation at varying intensities (3VPP, 7VPP, and 11VPP) in 31 participants (16 males, 15 females). ECG and EMG signals were recorded using the BIOPAC MP36 system, and key HRV and EMG parameters were analyzed to assess neural and muscular activation patterns. Results showed that females exhibited broader neuromuscular responses at lower intensities, whereas males demonstrated increased autonomic activity at higher intensities, supporting the Gate Control Theory. These findings highlight the necessity of sex-specific electro stimulation therapy strategies and contribute to optimizing personalized TENS treatments. © 2025 IEEE.-
dc.format.extent4-
dc.language영어-
dc.language.isoENG-
dc.publisherIEEE-
dc.titleAnalyze of sex differences and Electromyography and autonomic nervous system responses to Micro current stimulation-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1109/CBMS65348.2025.00171-
dc.identifier.scopusid2-s2.0-105010623793-
dc.identifier.wosid001544273800160-
dc.identifier.bibliographicCitation2025 IEEE 38th International Symposium on Computer-Based Medical Systems (CBMS), pp 841 - 844-
dc.citation.title2025 IEEE 38th International Symposium on Computer-Based Medical Systems (CBMS)-
dc.citation.startPage841-
dc.citation.endPage844-
dc.type.docTypeProceedings Paper-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalWebOfScienceCategoryComputer Science, Artificial Intelligence-
dc.relation.journalWebOfScienceCategoryComputer Science, Interdisciplinary Applications-
dc.relation.journalWebOfScienceCategoryEngineering, Biomedical-
dc.subject.keywordAuthorAutonomic nervous system(ANS)-
dc.subject.keywordAuthorElectrocardiogram (ECG)-
dc.subject.keywordAuthorElectromyography (EMG)-
dc.subject.keywordAuthorsex-
dc.subject.keywordAuthorTENS-
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Graduate School > Department of Medical Device Business > 1. Journal Articles
College of Life Science and Biotechnology > Department of Biomedical Engineering > 1. Journal Articles

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