公开(公告)号：US11226411B2

公开(公告)日：2022-01-18

申请号：US16410474

申请日：2019-05-13

申请人： One Health Group

发明人： Raghed El Bardan ,  Albert Di Rienzo ,  Dhaval Malaviya

IPC分类号： G01S13/90 ,  G01S13/00

摘要： One or more aspects of this disclosure relate to the usage of an impulse radio ultra-wideband (IR-UWB) radar to reconstruct a cross-sectional image of subject in a noninvasive fashion. This image is reconstructed based on the pre- and post-processing of recorded waveforms that are collected by the IR-UWB radar, after getting reflected-off the subject. Furthermore, a novel process is proposed to approximate the different tissues' dielectric constants and, accordingly, reconstruct a subject' cross-sectional image.

公开(公告)号：US20220137208A1

公开(公告)日：2022-05-05

申请号：US17576151

申请日：2022-01-14

申请人： One Health Group, Inc.

发明人： Raghed El Bardan ,  Albert Dirienzo ,  Dhaval Malaviya

IPC分类号： G01S13/90

摘要： One or more aspects of this disclosure relate to the usage of an impulse radio ultra-wideband (IR-UWB) radar to reconstruct a cross-sectional image of subject in a noninvasive fashion. This image is reconstructed based on the pre- and post-processing of recorded waveforms that are collected by the IR-UWB radar, after getting reflected-off the subject. Furthermore, a novel process is proposed to approximate the different tissues' dielectric constants and, accordingly, reconstruct a subject's cross-sectional image.

公开(公告)号：US20180333103A1

公开(公告)日：2018-11-22

申请号：US15982890

申请日：2018-05-17

申请人： One Health Group, LLC

发明人： Raghed El Bardan ,  Dhaval Malaviya ,  Albert Di Rienzo

IPC分类号： A61B5/00 ,  A61B5/0205

CPC分类号： A61B5/7225 ,  A61B5/0002 ,  A61B5/0205 ,  A61B5/02438 ,  A61B5/0255 ,  A61B5/05 ,  A61B5/0507 ,  A61B5/0803 ,  A61B5/0816 ,  A61B5/113 ,  A61B5/6822 ,  A61B5/6831 ,  A61B5/7257 ,  A61B5/7278 ,  A61B5/7289 ,  A61B2503/40

摘要： One or more aspects of the disclosure relate to monitoring a resting subject's respiration and heart rate through an impulse radio ultra-wideband (IR-UWB) radar in a noninvasive fashion, in order to infer the corresponding health status including heart rate and respiration rate. Any other reflectance technology may be used. These two cardiopulmonary vital signs are derived based on the processing of recorded waveforms that are collected by the IR-UWB radar or any other reflectance technology system, after getting reflected-off the resting subject's body or relevant body part. A novel algorithm that processes the recorded waveforms is proposed to extract these vitals' signals and, accordingly, estimate their rates. This algorithm includes at least three major stages: i) noise reduction, ii) respiration rate estimation, and iii) heart rate estimation. Furthermore, the algorithm addresses the effects of harmonics and intermodulation between the breathing and heartbeat signals without requiring the implementation of filters.