Time series forecasting regression model with interbeat interval

Hello Guys
i etracted interbeats interval dataset derived from ECG signal. i would like to use Deep learning time series forecasring to predict future events but i have no idea how shoud i divide the data as we are dealing with a different case from the given chickenpox examples. i have even tried with it but it was not helpful. If someone had already come across with biological signal using time series forecasting models please i would very grateful for the assistance

5 Comments

What and how is your data? Attach it and what you are targetting?
I doubt that it is possible to forecast heart rate with any degree of accuracy. There are simply too many environmental and physiologic variables to consider.
There are quite of studies that have been used heart rate and HRV as time series for prediction and forecast purposes using LSTM,RNN and AR Models. the data is about 1h recording composed with 6660 samples IBIs. I want to use one of these models for the same purpose.
find the data in the attached file. thank you
Post the PDF of a study that does what you want to do.
here are some PDF Sir. the data were recorded from healthy subjects under high level of stress experiment my purpose is to predict any abnormalities or changes in the heart rate within the IBI samples.
Thank you

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on 12 Oct 2022

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