Algorithm 1. Pseudocode of peak detection algorithm and feature detection for dataset D.

FOR$x_i$in D (ECG or PPG data instance from dataset, where i = {0…size(D))

Filtered signal $S\left[n\right]$ = BandpassFilter($x_i)$

Let $peaklist=\left\{\right\}$ (Peak amplitudes)

Let $timelist=\left\{\right\}$ (Peak times)

Let $BlocksOfInterest=\left\{\right\}$

Let$y_i=\left\{\right\}$

Set $W_1$ = Average ECG or PPG peak duration

Set $W_2$ = Average ECG or PPG beat duration

Set $M{A}_{peak}$ = MovingAverage($S\left[n\right]$, $W_1$)

Set $M{A}_{beat}$ = MovingAverage($S\left[n\right]$, $W_2$)

Set threshold $\alpha$ = $W_1+\beta$

FOR n = 1 to length($M{A}_{peak}$)

IF $M{A}_{peak}\left[n\right]$ > $M{A}_{beat}\left[n\right]$ THEN

$\hspace{1em}\hspace{1em}\hspace{1em}\hspace{1em}\hspace{1em}\hspace{1em}BlocksOfInterest\left[n\right]=1$

ELSE

$\hspace{1em}\hspace{1em}\hspace{1em}\hspace{1em}\hspace{1em}\hspace{1em}BlocksOfInterest\left[n\right]=0$

END IF

END FOR

FOR j = 0 to length(BlocksOfInterest)

IF $width\left(BlocksOfInterest\left[j\right]\right)$ $\ge$ $\alpha$ THEN

$peaklist\left[j\right]$ = max(BlockOfInterest[j])

$timelist\left[j\right]$ = time(BlockOfInterest[j])

ELSE;

$\hspace{1em}\hspace{1em}\hspace{1em}\hspace{1em}\hspace{1em}\hspace{1em}\hspace{1em}reject block$

END IF

END FOR

$\left\{rMSSD, \dots ,pRR50\right\}=$ Calculate HRV/PRV (peaklist, timelist)

Transformed data instance $y_i$ = $\{rMSSD, \dots ,pRR50$}

Save $y_i$to updated dataset $\overline{D}$

END FOR