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非常感谢，我发现我是我的方法有误，我最开始使用mne库将edf文件转为了mat文件，数据点就一直是四百万左右，可能是mne库的处理方式问题，目前仍然不清楚，我更换了pyedflib库进行了转换，发现数据点的个数是正常的了，非常感谢您！
Edit: (English) - Thank you very much. I found that my method was wrong. I first used the mne library to convert the edf file to a mat file, and the number of data points was always around four million. It might be a problem with the processing method of the mne library, which is still unclear. I changed to the pyedflib library for conversion and found that the number of data points was normal. Thank you very much!
Dear Professor: The "THOR RES" channel described in the manual, that is, the sampling frequency given by the chest signal, is 10hz. However, when I extracted the data, I found that almost all the" THOR RES" channels in the edf file had about 4 million data points. If we assume that the subject slept for 8 hours at night, So there should be 8*60*60*10= 288,000 or so data points, which is obviously a huge difference from 4 million. If the sampling frequency is 125hz, the data points collected throughout the night should have 8*60*60*125=3.6 million data points, which is very close to 4 million. Is there a mistake in my method? Please correct me. Looking forward to your reply!
Thanks for your reply! But I don't know what is the signal label of respiratory rate in the EDF file of SHHS, and I don't know how to extract respiratory rate using pyedflib library. Or if you could tell me how to calculate the respiratory rate from the original EDF signal. Thank you so much!
Is there a respiratory rate (number of breaths per minute) in the SHHS data set? All I seem to find is data on a low ventilation index
Thanks for your reply!
Hello, mrueschman, I would like to know whether each subject has been monitored by polysomnography for the whole night only once, at what time and why this time was chosen. I can see which files in the dataset get this information. Thank you.