Resampling an ECG data

I have ECG samples with a sampling rate 61.5. Now I want to augment them with another dataset which was obtained at a sampling rate of 500. Most of the similarity of the signals lie in the region before 100 Hz in both signals as seen in the attachment.

I would eventually want to take wavelet transform of all the signals and generate scalograms of all the signals.

My question is can I use the signals without resampling them to a uniform sampling rate? How would it effect the corresponding continous wavelet transform?

[Mathieu NOE]

hello

to be sure : you mean I have ECG samples with a sampling rate 61.5 Hz ?

please note that the senond data (with info up to 100 Hz) needs at least a sampling frequency of 200 Hz according to Shannon aliasing theorem.

so , if I understand your question, you cannot leave the first data sampling as low as 61.5 Hz if you need to do a spectral analysis up to 100 Hz. A commercial FFT analyser will even apply factor 2.56 to the usefull bandwith (here 100 Hz) to define the sampling frequency (would then be 256 Hz)

all in all, you should have at least a common sampling frequency >= 256 Hz for all signals that need spectral analysis up to 100 Hz

hope it helps