Possible error in timestamps

[louisabraham]

It seems to me endpoint should be True (the default).

BioSPPy/biosppy/signals/ecg.py

Lines 102 to 103 in 212c3dc

	T = (length - 1) / sampling_rate
	ts = np.linspace(0, T, length, endpoint=False)

[capcarr]

You're right, thanks ;)
This also happens for the other signals (EDA, EMG, ...).

[Marina168]

Hi! Could you tell my what are you using for measuring EDA signal and which is the unit of measurement for the values from BioSPPy/examples/eda.txt(microsiemeans, ohm ? ). Is that frequency real (1000 Hz)? Isn't it a too high value?

[PatriciaBota]

Hi! Could you tell my what are you using for measuring EDA signal and which is the unit of measurement for the values from BioSPPy/examples/eda.txt(microsiemeans, ohm ? ). Is that frequency real (1000 Hz)? Isn't it a too high value?

Hi, the unit is the ADC value with 12-bit (0-4095) resolution, you can find the transfer function here EDA Sensor Datasheet.pdf.

The choice of 1000Hz can be considered a high value for EDA when you have complexity and memory constrains, however a large sampling rate (SR) might be of interest when exploring spectral characteristics of EDA or decomposition algorithms. Additionally, when using a large SR, you can always downsample the data according to your work methods and goals. In contrast from using a small SR, which might introduce limitations.

[Marina168]

Thank you very much!

…

On Mon, Mar 1, 2021 at 8:22 PM PatriciaBota ***@***.***> wrote: Hi! Could you tell my what are you using for measuring EDA signal and which is the unit of measurement for the values from BioSPPy/examples/eda.txt(microsiemeans, ohm ? ). Is that frequency real (1000 Hz)? Isn't it a too high value? Hi, the unit is the ADC value with 12-bit (0-4095) resolution, you can find the transfer function here EDA Sensor Datasheet.pdf <https://github.com/PIA-Group/BioSPPy/files/6063633/EDA.Sensor.Datasheet.pdf> . The choice of 1000Hz can be considered a high value for EDA when you have complexity and memory constrains, however a large sampling rate (SR) might be of interest when exploring spectral characteristics of EDA or decomposition algorithms. Additionally, when using a large SR, you can always downsample the data according to your work methods and goals. In contrast from using a small SR, which might introduce limitations. — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub <#48 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AOSZH7IJZWKFPBUIP55HNMTTBPLNXANCNFSM4GCPGA3A> .