US 11,992,322 B2
Heart rhythm detection method and system using radar sensor
Jing-Ming Guo, New Taipei (TW); Ting Lin, New Taipei (TW); Chia-Fen Chang, New Taipei (TW); Jeffry Susanto, New Taipei (TW); Yi-Hsiang Lin, New Taipei (TW); Po-Cheng Huang, New Taipei (TW); and Yu-Wen Wei, New Taipei (TW)
Assigned to IONETWORKS INC., New Taipei (TW)
Filed by ioNetworks INC., New Taipei (TW)
Filed on Mar. 30, 2021, as Appl. No. 17/218,142.
Prior Publication US 2022/0313138 A1, Oct. 6, 2022
Int. Cl. A61B 5/346 (2021.01); A61B 5/00 (2006.01); A61B 5/333 (2021.01)
CPC A61B 5/346 (2021.01) [A61B 5/333 (2021.01); A61B 5/7203 (2013.01); A61B 5/7257 (2013.01); A61B 5/7264 (2013.01)] 6 Claims
OG exemplary drawing
 
1. A heart rhythm detection method using radar sensor, comprising the following steps:
collecting a one dimensional raw signal by aligning at least one radar sensor toward at least one subject; and
converting the one dimensional collected 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 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.