Comments (3)
Hi @mousehaohao, I think you are referring to the rate of the slower frequency bands of the heart rate variability (that are correlated with respiration)?
If that's the case, then in the (hopefully near) future, yes, neurokit will be able to do that. I'd suggest you check Neurokit 1, to have an idea of what we plan to do (although the goal is to go higher and beyond in terms of features and quality).
Do stay tuned here, and do not hesitate to share your input the goal is to have an open project
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Sure, thanks for the quick response, I'll check the Neurokit1 first and hope I can join this project someday :)
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@mousehaohao if you are interested in contributing and helping this project, feel free to comment on #3 😉
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Related Issues (20)
- Bug in _ecg_findpeaks_rodrigues with low sampling rate HOT 3
- Documentation of rsp_clean() seems inconsistent with implementation HOT 5
- Issue on page /_modules/neurokit2/ecg/ecg_plot.html HOT 2
- EDA quality control (Böttcher, 2022)
- "Neurokit" R-peak detection in ECG depends on sampling frequency HOT 1
- Wrong format in download_gudb.py
- Getting Errors when trying to processa and analyze ppg_signal using ppg_processa and ppg_analyze HOT 2
- download_mit_normal.py - error in data and rpeaks extraction
- Uniform output of ecg_quality algorithms
- RSP_Amplitude_Mean is missing from the return values
- _find_artifacts and zero threshold from _compute_threshold HOT 3
- Enable optional processing of sequences with <4 heart beats. HOT 1
- The sparsEDA API is not compatible with NK2 HOT 2
- EDA analyze function does not use correct sampling rate HOT 2
- Error while creating html report with eda_process: 'charmap' codec can't encode character
- NeuroKit2 Analysis on Animal ECG Data HOT 2
- read_xdf error with Shimmer3 recording data. HOT 3
- Senior project HOT 2
- ReleasePR workflow failing for v0.2.8 HOT 3
- ecg_intervalrelated() output formatting HOT 4
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