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I've been working on a ECG signal collected during exercise through my chest mount heart rate monitor. My goal is to accurately detect the location of the R-wave; R-wave is the narrow peak similar to the ones I circled in red.

Can you suggest any method for preprocessing the data so that it will be easier to extract the signal?

I have tried wavelet transform but I am not getting any luck.

enter image description here

You can download the data here. Sampling frequency is 150 Hz.

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    $\begingroup$ I would start by reviewing Physionet's resources. Not only the toolkit but the papers they have produced on QRS detection (Look for "George Moody"). In a nutshell, (possibly detrend), rectify, integrate, apply threshold (possibly adaptive). This will give you the R peaks with very good accuracy. $\endgroup$ – A_A Jun 21 at 8:21
  • $\begingroup$ I've went ahead and removed all the chatter from your question; it was actually making it worse. $\endgroup$ – Marcus Müller Jun 21 at 8:31
  • $\begingroup$ haha @MarcusMüller thanks man $\endgroup$ – Larry To Jun 24 at 1:23
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A typical approach would be the Pan-tompkins algorithm. You can also apply a first order low pass filter or a mean filter to improve results.

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