Jk. Leader et al., A DATA DEPENDENT COMPUTER ALGORITHM FOR THE DETECTION OF MUSCLE-ACTIVITY ONSET AND OFFSET FROM EMG RECORDINGS, ELECTROMYOGRAPHY AND MOTOR CONTROL-ELECTROENCEPHALOGRAPHY AND CLINICAL NEUROPHYSIOLOGY, 109(2), 1998, pp. 119-123
This paper describes modifications to an algorithm presented by Marple
-Horvat and Gilbey (1992) for identifying bursts of muscle activity in
electromyographical (EMG) recordings. Our efforts to apply their algo
rithm to spontaneously moving infants and toddlers resulted in limited
success. The modified algorithm makes several parameters dependent on
the data being analyzed; these changes enabled it to analyze a variet
y of EMG recordings more effectively. The original algorithm had a suc
cess rate (correctly identified bursts) of 62.9% and combined error ra
te (number of insertions and deletions) of 73.0% when applied to an in
dependent test data set. The modified algorithm displayed a success ra
te of 85.4% and combined error rate of 23.6%. (C) 1998 Elsevier Scienc
e Ireland Ltd.