{"title":"Analysis of Sound Myogram of Masseter Muscle in Masticatory Normal Task Movement by a Wavelet Transform Method.","authors":"Iwao Sato, Yoko Ueda, Shinichi Kawata, Yutaro Natsuyama, Tomiko Yakura, Ryuichi Ueno, Takuya Osada, Zhong-Lian Li, Hidenobu Miyaso, Masahiro Itoh","doi":"10.1111/joor.14020","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>A simple and easy-to-use method for recording jaw muscle activity is important for minimising the need for specialised expertise in electrode placement, reducing the burden on the subject.</p><p><strong>Objective: </strong>This study aimed to determine whether masseter muscle activity analysis by sound myography (SMG) combined with laser displacement-induced skin movement sensing (LDSMS) is comparable to surface electromyography (SEMG).</p><p><strong>Methods: </strong>Eight healthy volunteers (21.0 ± 1.67 years) were included in the study. The measurement tasks consisted of clenching (CL), maximum jaw opening (MJO) and jaw closing and biting (JCB). Masseter muscle activity was recorded simultaneously using SMG, LDSMS and SEMG. We analysed the frequency amplitude spectrum using wavelet analysis and relationships between the signals from the three measurement methods (SMG, LDSMS and SEMG) using principal component analysis (PCA).</p><p><strong>Results: </strong>The masseter muscle activity during jaw tasks analysed using SMG, LDSMS and SEMG was clearly defined. The peak of the integral time-frequency power (ITFP) (mV<sup>2</sup>/Hz) of the SMG was indicated by approximately CL, 9.8 ± 0.9, JCB, 10.5 ± 1.4 and MJO, 11.3 ± 1.4 Hz. The peaks of the LDSMS (CL, 4.2 ± 0.5, MJO, 4.2 ± 0.5 and JCB, 4.4 ± 0.6 Hz) and SEMG (CL, 54.7 ± 4.6 MJO, 102.1 ± 9.9 and JCB, 71.7 ± 9 Hz) were shown. PCA analysis revealed clusters of masseter muscle activity during jaw tasks obtained by the SMG, SEMG, and LDSMS devices.</p><p><strong>Conclusion: </strong>The SMG with the LMSMS by wavelet analysis is a simple and easy-to-use method that can be used to detect jaw muscle activity issues.</p>","PeriodicalId":16605,"journal":{"name":"Journal of oral rehabilitation","volume":" ","pages":""},"PeriodicalIF":3.1000,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of oral rehabilitation","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1111/joor.14020","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"DENTISTRY, ORAL SURGERY & MEDICINE","Score":null,"Total":0}
引用次数: 0
Abstract
Background: A simple and easy-to-use method for recording jaw muscle activity is important for minimising the need for specialised expertise in electrode placement, reducing the burden on the subject.
Objective: This study aimed to determine whether masseter muscle activity analysis by sound myography (SMG) combined with laser displacement-induced skin movement sensing (LDSMS) is comparable to surface electromyography (SEMG).
Methods: Eight healthy volunteers (21.0 ± 1.67 years) were included in the study. The measurement tasks consisted of clenching (CL), maximum jaw opening (MJO) and jaw closing and biting (JCB). Masseter muscle activity was recorded simultaneously using SMG, LDSMS and SEMG. We analysed the frequency amplitude spectrum using wavelet analysis and relationships between the signals from the three measurement methods (SMG, LDSMS and SEMG) using principal component analysis (PCA).
Results: The masseter muscle activity during jaw tasks analysed using SMG, LDSMS and SEMG was clearly defined. The peak of the integral time-frequency power (ITFP) (mV2/Hz) of the SMG was indicated by approximately CL, 9.8 ± 0.9, JCB, 10.5 ± 1.4 and MJO, 11.3 ± 1.4 Hz. The peaks of the LDSMS (CL, 4.2 ± 0.5, MJO, 4.2 ± 0.5 and JCB, 4.4 ± 0.6 Hz) and SEMG (CL, 54.7 ± 4.6 MJO, 102.1 ± 9.9 and JCB, 71.7 ± 9 Hz) were shown. PCA analysis revealed clusters of masseter muscle activity during jaw tasks obtained by the SMG, SEMG, and LDSMS devices.
Conclusion: The SMG with the LMSMS by wavelet analysis is a simple and easy-to-use method that can be used to detect jaw muscle activity issues.
期刊介绍:
Journal of Oral Rehabilitation aims to be the most prestigious journal of dental research within all aspects of oral rehabilitation and applied oral physiology. It covers all diagnostic and clinical management aspects necessary to re-establish a subjective and objective harmonious oral function.
Oral rehabilitation may become necessary as a result of developmental or acquired disturbances in the orofacial region, orofacial traumas, or a variety of dental and oral diseases (primarily dental caries and periodontal diseases) and orofacial pain conditions. As such, oral rehabilitation in the twenty-first century is a matter of skilful diagnosis and minimal, appropriate intervention, the nature of which is intimately linked to a profound knowledge of oral physiology, oral biology, and dental and oral pathology.
The scientific content of the journal therefore strives to reflect the best of evidence-based clinical dentistry. Modern clinical management should be based on solid scientific evidence gathered about diagnostic procedures and the properties and efficacy of the chosen intervention (e.g. material science, biological, toxicological, pharmacological or psychological aspects). The content of the journal also reflects documentation of the possible side-effects of rehabilitation, and includes prognostic perspectives of the treatment modalities chosen.