A two-stage method for MUAP classification based on EMG decomposition

Analysis of intramuscular electromyogram signals

“…In the last two decades, these and other researchers worked towards a robust solution to the problem of intramuscular EMG signal decomposition (McGill et al 1985(McGill et al , 2005Stashuk & De Luca 1989;Wellig et al 1998;Stashuk & Qu 1998;Stashuk 2001;Katsis et al 2007;Nawab et al 2008;Marateb & McGill in press). Although the solutions vary greatly for the need of operator's assistance, complexity and accuracy of the results, and computational time, some general considerations can be drawn.…”

EMG Signal Decomposition Using Motor Unit Potential Train Validity

“…The detection threshold can be a user-pre-defined absolute value [5][6][7], [53], [62][63][64][65][66][67][68], or it can be determined based on the characteristics of the signal and the noise contaminating it [7], [49], [50], [59], [60], [65][66][67][68], [75]. In practice, maximum absolute value, mean absolute value, and root mean square (RMS) value of the signal are three characteristics that may be used to set a detection threshold value.…”

“…Generally, this is done using a threshold crossing technique [1], [5][6][7], [25], [26], [45], [49], [50], [53][54][55], [58][59][60][61][62][63][64][65][66][67][68][69][70][71][72][73][74]. Scanning the raw or filtered signal for peaks that exceed a threshold produces a set of peaks that indicate candidate MUP positions.…”

“…times the RMS value of the baseline noise of the filtered signal [49], [50], [59], [60], [65][66][67][68], [75]. The length of the window applied to the signal for selecting MUPs can be variable [54], [55], [59], [65], [69][70][71], or it can be fixed [1], [7], [19], [26], [45], [49], [50], [53], [54], [58], [66], [67], [72], [74][75][76][77][78][79][80][81][82].…”

Using Artificial Immune Recognition Systems in Order to Detect Early Breast Cancer

“…Classification systems on the one hand help to min imize possible errors that can be done because of fatigued or inexperienced physician and on the other hand, provide medical data to be examined in shorter time and in more detail. Automated diagnostic systems have been applied to and are of interest for a variety of medical data, such as electrocardiograms (ECGs), electro myograms (EM Gs), electroencephalograms (EEGs), u ltrasound signals/images, X-rays, and computed tomographic images [3][4][5][6][7][8][9][10][11][12][13]. Moreover, the economic and social values of breast cancer diagnosis are very high.…”