Table 1. Description of the structure of the 13 detectors investigated in the current study, along with the different parameters associated with the individual detectors.

Detectors	Signal Conditioning	Test function	Parameters
Modified Hodges	Rectification Low pass filter	$g\left[n\right]=\tilde{x}\left[n\right]$	Cut-off frequency of LPF ( $f_c)$ Weights (α)
AGLR - G 24 , 49	Adaptive whitening	Likelihood Ratio test	Window size (W) Weights (α)
AGLR - L	Adaptive whitening	Likelihood Ratio test	Window size (W) Weights (α)
Fuzzy 28 Entropy	-	Chebyshev distance Fuzzy function	Window size (W) Weights (α)
Modified Lidierth	Rectification Low pass filter	$g\left[n\right]=\tilde{x}\left[n\right]$	Cut-off frequency of LPF ( $f_c)$ Weights (α) Double threshold params: m, T1
Hodges 24	Rectification Low pass filter	$\widehat{x}\left[n\right]=\mathrm{MAV}\left(\tilde{x}\left[n\right]\right)$ $g\left[n\right]=\left(\widehat{x}\left[n\right]-{\mu }_0\right)/{\sigma }_0$	Cut-off frequency of LPF ( $f_c)$ Window size (W) Weights (α)
RMS 23	Band pass filter	Root mean square ( $\tilde{x}\left[n\right]$ )	Window size (W) Weights (α) Window shift (p) Temporal threshold (m)
Lidierth 24	Rectification Low pass filter	$\tilde{y}\left[n\right]=\mathrm{MAV}(\tilde{x}\left[n\right]$ ) $g\left[n\right]=\left(\tilde{y}\left[n\right]-{\mu }_0\right)/{\sigma }_0$	Window size (W) Weights (α) Double threshold params: m, T1
TKEO 29	High pass filter	$\phi \left[n\right]={\tilde{x}}^2\left[n-1\right]-{\tilde{x}}^2\left[n-2\right]{\tilde{x}}^2\left[n\right]$ $g\left[n\right]=\mathrm{MAV}\left(\phi \left[n\right]\right)$	Cut-off frequency of HPF ( $f_c)$ Window size (W) Weights (α) Double threshold params: m = 1, T1
Bonato 46	Adaptive whitening	$g\left[n\right]=\left({\tilde{x}}^2\left[n\right]-{\tilde{x}}^2\left[n-1\right]\right)/{\sigma }_0^2$ $n\in \left\{1,3,5,\dots \right\}$	Weights (α) Double threshold params: m, T1
Sample 31 Entropy	-	Chebyshev distance Local tolerance for the distance	Window size (W) Weights (α) Tolerance $\left(\rho \right)$
CWT 30	-	Correlation of signal with Wavelet representing shape of MUAP	Scaling parameter of the mother wavelet (a) Weights (α)
SSA 50	-	Computation of detection statistics using Euclidean distance.	Window size (W)

Moving average (MAV): $\frac{1}{W}{\sum }_{k=n-W+1}^n\tilde{x}\left[k\right];$ AGLR-G – approximate generalized likelihood ratio test assuming Gaussian model; AGLR-L – AGLR assuming Laplacian model; Double threshold: Active state for at least (m) samples and during m samples can test function go below threshold repeatedly, not more that (T1) samples. CWT – Continuous wavelet transform; SSA – Singular spectrum analysis; RMS – Root mean square detector.