title: Compression of surface myoelectric signals using MP3 encoding.
abstract: The potential of MP3 compression of surface myoelectric signals is explored in this paper. MP3 compression is a perceptual-based encoder scheme, used traditionally to compress audio signals. The ubiquity of MP3 compression (e.g., portable consumer electronics and internet applications) makes it an attractive option for remote monitoring and telemedicine applications. The effects of muscle site and contraction type are examined at different MP3 encoding bitrates. Results demonstrate that MP3 compression is sensitive to the myoelectric signal bandwidth, with larger signal distortion associated with myoelectric signals that have higher bandwidths. Compared to other myoelectric signal compression techniques reported previously (embedded zero-tree wavelet compression and adaptive differential pulse code modulation), MP3 compression demonstrates superior performance (i.e., lower percent residual differences for the same compression ratios).
authors.affiliation: Department of Systems and Computer Engineering, Carleton University, Ottawa, Canada. adcchan@sce.carleton.ca
authors.forename: Adrian D C
authors.initials: AD
authors.lastname: Chan
mesh_terms: D000465:Algorithms; D044962:Data Compression / Q000379:methods*; D004576:Electromyography / Q000379:methods*; D006801:Humans; D009119:Muscle Contraction / Q000502:physiology*; D018482:Muscle, Skeletal / Q000502:physiology*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity