Comparing electro- and mechano-myographic muscle activation patterns in self-paced pediatric gait |
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| Affiliation: | 1. University of Toronto, Canada;2. Holland Bloorview Kids Rehabilitation Hospital, Canada;1. Institute of Biomedical Engineering, Boğaziçi University, Istanbul, Turkey;2. Istanbul School of Medicine, Department of Orthopaedics and Traumatology, Istanbul University, Istanbul, Turkey;1. Departamento de Morfologia, Fisiologia e Patologia Básica, Faculdade de Odontologia de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, Brazil;2. Unidade Especial de Tratamento em Doenças Infecciosas (UETDI), Hospital das Clínicas da Faculdade de Medicina de Ribeirão Preto-USP, Brazil;3. Hospital das Clínicas da Faculdade de Medicina de Ribeirão Preto-USP, Brazil;1. Department of Health, Sport, and Exercise Sciences, Neuromechanics Laboratory, University of Kansas, Lawrence, KS, USA;2. Exercise Science Department, Creighton University, Omaha, NE, USA;3. Department of Exercise and Sport Science, Neuromuscular Research Laboratory, University of North Carolina – Chapel Hill, Chapel Hill, NC, USA;4. Exercise and Sport Science Department, University of Wisconsin-La Crosse, La Crosse, WI, USA;5. Department of Kinesiology and Health Promotion, University of Kentucky, Lexington, KY, USA;6. Department of Health and Human Performance, Oklahoma State University, Stillwater, OK, USA;7. Department of Nutrition and Health Sciences, University of Nebraska-Lincoln, Lincoln, NE, USA;1. Dept. of Community Medicine and Rehabilitation, Physiotherapy, Umeå University, Sweden;2. Dept. of Public Health and Clinical Medicine, Occupational Medicine, Umeå University, Sweden;3. Dept. of Forest Biomaterials & Technology, Swedish University of Agricultural Sciences, Umeå, Sweden;4. Dept. of Psychology, Umeå University, Sweden;5. Dept. of Radiation Sciences, Biomedical Engineering, Umeå University, Sweden |
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| Abstract: | ![]()
Electromyography (EMG) is the standard modality for measuring muscle activity. However, the convenience and availability of low-cost accelerometer-based wearables makes mechanomyography (MMG) an increasingly attractive alternative modality for clinical applications. Literature to date has demonstrated a strong association between EMG and MMG temporal alignment in isometric and isokinetic contractions. However, the EMG-MMG relationship has not been studied in gait. In this study, the concurrence of EMG- and MMG-detected contractions in the tibialis anterior, lateral gastrocnemius, vastus lateralis, and biceps femoris muscles were investigated in children during self-paced gait. Furthermore, the distribution of signal power over the gait cycle was statistically compared between EMG-MMG modalities. With EMG as the reference, muscular contractions were detected based on MMG with balanced accuracies between 88 and 94% for all muscles except the gastrocnemius. MMG signal power differed from that of EMG during certain phases of the gait cycle in all muscles except the biceps femoris. These timing and power distribution differences between the two modalities may in part be related to muscle fascicle length changes that are unique to muscle motion during gait. Our findings suggest that the relationship between EMG and MMG appears to be more complex during gait than in isometric and isokinetic contractions. |
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| Keywords: | Muscular activity Mechanomyography Electromyography Gait Pediatrics |
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