Heart rhythm detection method and system using radar sensor

A heart rhythm detection system using radar sensor, comprising:

• at least one radar sensor, used for collecting a one dimensional raw signal by aligning toward at least one subject;
• and
• at least one server equipment, used for connecting to the radar sensor and capable of receiving the one dimensional raw signal thus converting the collected one dimensional raw signal to two dimensional image information, then learning from the obtained two dimensional image information and automatically filtering out a noise signal by means of a neural network model so as to learn a relationship between a heartbeat frequency and non-heartbeat frequency of the two dimensional image information thereby automatically extracting the heartbeat frequency;
• wherein the one dimensional raw signal is first filtering processed then further converted to time-frequency dimension by means of a Short-Time Fourier Transform (STFT), thereby transforming the one dimensional raw signal to the two dimensional image information, and the two dimensional image information is a time-frequency view of a two dimensional image;
• and
• wherein the neural network model applies AvgPooling for training and finally adding up a layer of GlobalAvgPooling2D and two layers of Dense for a final characteristic extraction.