The invention relates to the technical field of
heart rate detection, in particular to a special
heart rate detection method and device for a railway in a severe environment, and the method comprises the steps: collecting a heart
impact signal in real time, and carrying out the
signal preprocessing of the heart
impact signal, and obtaining the preprocessed heart
impact signal; inputting the preprocessed ballistocardiogram signal into the trained TimeGAN
network model to obtain a final ballistocardiogram signal; inputting the final ballistocardiogram signal into the
body movement detection
network model, and classifying the normal detection segments and the
body movement detection segments to obtain the normal detection segments; the
body movement detection
network model is a combined network model combining a full convolutional network and a bidirectional long short-
term memory network; the normal detection segments are input into the cardiac interval detection model, a J-peak
timestamp sequence is obtained, a final
heart rate result is obtained according to the J-peak
timestamp sequence, and when the heart rate result conforms to a preset rule, an alarm is given. The technical problem that in the prior art,
heart rate measurement is complex and inaccurate is solved.