Trying to detect apnea from airflow signal. I have 100 files of the patient each file contains at least 8 hours of data and sampling rate is 32 Hz. How to prepare my dataset which is used as an input channel. I am new in this domain please help me.
0
$\begingroup$
$\endgroup$
closed as unclear what you're asking by Marcus Müller, MBaz, A_A, lennon310, Peter K.♦ Aug 22 '18 at 14:39
Please clarify your specific problem or add additional details to highlight exactly what you need. As it's currently written, it’s hard to tell exactly what you're asking. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.
-
$\begingroup$ I don't understand your question – air flow (a scalar value) over time is already a 1D signal. $\endgroup$ – Marcus Müller Aug 21 '18 at 20:59
0
$\begingroup$
$\endgroup$
The airflow signal is usually respiratory input in a polysonogram. If your input files are .EDF files, then you need to extract the airflow signal only, which is a 1-D signal. I think there are many implementations of edfread.m that are available online.
https://www.mathworks.com/matlabcentral/fileexchange/31900-edfread
