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10.3390/ijerph18042001

http://scihub22266oqcxt.onion/10.3390/ijerph18042001
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33669544!7921951!33669544
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suck abstract from ncbi


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pmid33669544      Int+J+Environ+Res+Public+Health 2021 ; 18 (4): ä
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  • A Neurophysiological Pattern as a Precursor of Work-Related Musculoskeletal Disorders Using EEG Combined with EMG #MMPMID33669544
  • Segning CM; Ezzaidi H; da Silva RA; Ngomo S
  • Int J Environ Res Public Health 2021[Feb]; 18 (4): ä PMID33669544show ga
  • We aimed to determine the neurophysiological pattern that is associated with the development of musculoskeletal pain that is induced by biomechanical constraints. Twelve (12) young healthy volunteers (two females) performed two experimental realistic manual tasks for 30 min each: (1) with the high risk of musculoskeletal pain development and (2) with low risk for pain development. During the tasks, synchronized electroencephalographic (EEG) and electromyography (EMG) signals data were collected, as well as pain scores. Subsequently, two main variables were computed from neurophysiological signals: (1) cortical inhibition as Task-Related Power Increase (TRPI) in beta EEG frequency band (beta.TRPI) and (2) muscle variability as Coefficient of Variation (CoV) from EMG signals. A strong effect size was observed for pain measurement under the high risk condition during the last 5 min of the task execution; with muscle fatigue, because the CoV has decreased below 18%. An increase in cortical inhibition (beta.TRPI >50%) was observed after the 5th min of the task in both experimental conditions. These results suggest the following neurophysiological pattern-beta.TRPI >/= 50% and CoV
  • |*Electroencephalography[MESH]
  • |*Electromyography[MESH]
  • |Adult[MESH]
  • |Cumulative Trauma Disorders/diagnosis[MESH]
  • |Female[MESH]
  • |Humans[MESH]
  • |Male[MESH]
  • |Muscle Fatigue[MESH]
  • |Muscle, Skeletal/*physiopathology[MESH]
  • |Musculoskeletal Diseases/*diagnosis[MESH]
  • |Musculoskeletal Pain/*diagnosis[MESH]
  • |Shoulder[MESH]


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