Automatic segmentation of surface EMG images: Improving the estimation of neuromuscular activity

Journal of Biomechanics

Volumn 43, Issue 11, 2010, Pages 2149-2158

  Vieira, Taian M M ^a,b   Merletti, Roberto ^a   Mesin, Luca ^a,b  

^a POLITECNICO DI TORINO   (Italy)

^b FEDERAL UNIVERSITY OF RIO DE JANEIRO   (Brazil)

Author keywords

Electromyography; Gastrocnemius; Image segmentation; Neuromuscular compartments

Indexed keywords

AUTOMATIC SEGMENTATIONS; DIMENSIONAL GRIDS; EMG AMPLITUDE; FAT TISSUE; GASTROCNEMIUS; GASTROCNEMIUS MUSCLE; GRAY-SCALE IMAGES; MUSCLE ACTIVATION; NEUROMUSCULAR ACTIVITY; NOISE LEVELS; REGIONAL VARIATION; SEGMENTATION ACCURACY; SEGMENTATION ALGORITHMS; SEGMENTATION METHODS; SIMULATED SIGNALS; SINGLE-DIFFERENTIAL; SKELETAL MUSCLE; SPATIAL VARIATIONS; SURFACE ELECTRODE; SURFACE EMG; WATER-SHED ALGORITHM; WATERSHED SEGMENTATION;

DIGITAL IMAGE STORAGE; ELECTRODES; ELECTROMYOGRAPHY; LANDFORMS; MUSCLE; WATERSHEDS;

IMAGE SEGMENTATION;

ACCURACY; ARTICLE; BODY POSITION; CONTROLLED STUDY; ELECTRODE; ELECTROMYOGRAPHY; GASTROCNEMIUS MUSCLE; IMAGE ANALYSIS; IMAGE PROCESSING; MATHEMATICAL ANALYSIS; NEUROMUSCULAR FUNCTION; PRIORITY JOURNAL; SIGNAL NOISE RATIO; STANDING;

ACTION POTENTIALS; ADOLESCENT; ADULT; ALGORITHMS; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROMYOGRAPHY; FEMALE; HUMANS; MALE; MUSCLE CONTRACTION; MUSCLE, SKELETAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; YOUNG ADULT;

EID: 77955275658     PISSN: 00219290     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbiomech.2010.03.049     Document Type: Article

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