公开(公告)号：US12279190B1

公开(公告)日：2025-04-15

申请号：US17853641

申请日：2022-06-29

Applicant: Amazon Technologies, Inc.

Inventor： Feng Zhang ,  Xiaofu Ma ,  Piyush Tayal ,  Cong Phuoc Huynh ,  Xi Chen ,  Mohammed Rana Basheer ,  Avinash Joshi

IPC: H04W4/38 ,  H04B7/06 ,  H04B17/336 ,  H04W4/021 ,  H04W52/52 ,  H04W84/12

Abstract: Technologies directed to respiration monitoring based on noise channel state information (CSI) data are described. A method includes receiving CSI data representing channel properties of a wireless channel used by a first wireless device and a second wireless device located in a geographical region. The method generates a set of CSI samples by sampling the CSI data and removes one or more outlier CSI samples using a sparse outlier process, and removes a cluster of outlier samples using a cluster outlier process. The method determines Fast Fourier Transform (FFT) data for each channel subcarrier index and a signal-to-noise ratio (SNR) value for each channel subcarrier index, and identifies a first number of channel subcarrier indexes having highest SNR values to obtain a subset of FFT data, which represents a breathing spectrum. The method determines a respiratory rate of a user in the geographical region from the subset of the FFT data.