At 02:00, it doesn't make sense to say you are using a 1000 Hz low-pass filter for a 500 Hz signal "to satisfy the Nyquist sampling theorem". Nyquist says thay you would have to sample at at least 1000 Hz, but if you do that your lowpass needs to be 500 Hz for a brickwall filter or somewhat less in practice.
Have an old software which lets me do cut off, rectification and smoothing. I don't see anyway to normalize though. Was there another way to normalize that I'm missing? Thanks for your time.
thank you for sharing, it actually help me about some confusions that i had. i have raw data from the sensor, but i don't know what was the sample rate to go through the fft and band width filtration, is there any way to find the sample rate ? (i know that is a long shot, but who knows, maybe there is a way)
At 02:00, it doesn't make sense to say you are using a 1000 Hz low-pass filter for a 500 Hz signal "to satisfy the Nyquist sampling theorem". Nyquist says thay you would have to sample at at least 1000 Hz, but if you do that your lowpass needs to be 500 Hz for a brickwall filter or somewhat less in practice.
Have an old software which lets me do cut off, rectification and smoothing. I don't see anyway to normalize though. Was there another way to normalize that I'm missing? Thanks for your time.
thank you for sharing, it actually help me about some confusions that i had.
i have raw data from the sensor, but i don't know what was the sample rate to go through the fft and band width filtration, is there any way to find the sample rate ? (i know that is a long shot, but who knows, maybe there is a way)
you should be able to get that info from the manufacturer of the EMG you used.
is the reason for the noise and fluctuation above and below the reference line biological or to do with the EMG hardware?
Thank you for sharing !!
3:09