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公开(公告)号:US12274527B2
公开(公告)日:2025-04-15
申请号:US17435580
申请日:2020-03-19
Inventor: Daniel W. Bliss , Yu Rong
IPC: A61B5/00 , A61B5/024 , A61B5/0507 , A61B5/08 , A61B5/11 , A61B5/113 , A61B5/16 , G01S7/41 , G01S13/02 , G01S13/18 , G01S13/89
Abstract: A precise cardiac data reconstruction method is provided, which may also be referred to herein as radar cardiography (RCG). RCG can reconstruct cardiac data, such as heart rate and/or electrocardiogram (ECG)-like heartbeat waveform signals wirelessly by using advanced radar signal processing techniques. For example, heartbeat and related characteristics can be monitored by isolating cardiovascular activity from strong respiratory interference in spatial spaces: azimuth and elevation. This results in significant improvements to pulse signal-to-noise-ratio (SNR) compared to conventional approaches, facilitating heart-rate variability (HRV) analysis.
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公开(公告)号:US12102420B2
公开(公告)日:2024-10-01
申请号:US17277596
申请日:2019-09-27
Inventor: Yu Rong , Daniel W. Bliss
IPC: A61B5/024 , A61B5/00 , A61B5/05 , A61B5/0507 , G01S13/02 , G01S13/524 , G01S13/88
CPC classification number: A61B5/024 , A61B5/05 , A61B5/0507 , A61B5/7207 , G01S13/0209 , G01S13/524 , G01S13/88
Abstract: Methods, systems, and devices for direct radio frequency (RF) signal processing for heart rate (HR) monitoring using ultra-wide band (UWB) impulse radar are presented. A radar sensor is able to directly sample a received signal at RF which satisfies the Nyquist sampling rate, preserving a subject's vital sign information in the received signal. The vital sign information can be extracted directly from a raw RF signal and thus down conversion to a complex baseband is not required. The HR monitoring performance from the proposed direct RF signal processing technique provides an improvement in continuous HR monitoring as compared against existing methods using a complex baseband signal and/or other measurement techniques.
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公开(公告)号:US20210353156A1
公开(公告)日:2021-11-18
申请号:US17277596
申请日:2019-09-27
Inventor: Yu Rong , Daniel W. Bliss
Abstract: Methods, systems, and devices for direct radio frequency (RF) signal processing for heart rate (HR) monitoring using ultra-wide band (UWB) impulse radar are presented. A radar sensor is able to directly sample a received signal at RF which satisfies the Nyquist sampling rate, preserving a subject's vital sign information in the received signal. The vital sign information can be extracted directly from a raw RF signal and thus down conversion to a complex baseband is not required. The HR monitoring performance from the proposed direct RF signal processing technique provides an improvement in continuous HR monitoring as compared against existing methods using a complex baseband signal and/or other measurement techniques.
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公开(公告)号:US11988772B2
公开(公告)日:2024-05-21
申请号:US17773503
申请日:2020-10-30
Inventor: Yu Rong , Daniel W. Bliss , Sharanya Srinivas , Adarsh Venkataramani
CPC classification number: G01S7/415 , G01H9/00 , G01S7/295 , G01S13/0209 , A61B5/05
Abstract: Remote recovery of acoustic signals from passive sources is provided. Wideband radars, such as ultra-wideband (UWB) radars can detect minute surface displacements for vibrometry applications. Embodiments described herein remotely sense sound and recover acoustic signals from vibrating sources using radars. Early research in this domain only demonstrated single sound source recovery using narrowband millimeter wave radars in direct line-of-sight scenarios. Instead, by using wideband radars (e.g., X band UWB radars), multiple sources separated in ranges are observed and their signals isolated and recovered. Additionally, the see-through ability of microwave signals is leveraged to extend this technology to surveillance of targets obstructed by barriers. Blind surveillance is achieved by reconstructing audio from a passive object which is merely in proximity of the sound source using clever radar and audio processing techniques.
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公开(公告)号:US11812341B2
公开(公告)日:2023-11-07
申请号:US17521490
申请日:2021-11-08
Inventor: Andrew Herschfelt , Daniel W. Bliss
IPC: H04W4/029
CPC classification number: H04W4/029
Abstract: A hyper-precise positioning and communications (HPPC) system and network are provided. The HPPC system is a next-generation positioning technology that promises a low-cost, high-performance solution to the need for more sophisticated positioning technologies in increasingly cluttered environments. The HPPC system is a joint positioning-communications radio technology that simultaneously performs relative positioning and secure communications. Both of these tasks are performed with a single, co-use waveform, which efficiently utilizes limited resources and supports higher user densities. Aspects of this disclosure include an HPPC system for a network which includes an arbitrary number of network nodes (e.g., radio frequency (RF) devices communicating over a joint positions-communications waveform). As such, networking protocols and design of data link and physical layers are described herein. An exemplary embodiment extends the HPPC system for use with existing cellular networks, such as third generation partnership project (3GPP) long term evolution (LTE) and fifth generation (5G) networks.
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公开(公告)号:US20250152122A1
公开(公告)日:2025-05-15
申请号:US18839896
申请日:2023-02-24
Inventor: Yu Rong , Arindam Dutta , Richard Gutierrez , Daniel W. Bliss
IPC: A61B7/04 , A61B5/00 , A61B5/0205 , A61B5/0507 , A61B5/11 , A61B7/00 , G01S7/03
Abstract: A radar stethoscope system (12) and method for respiration and heart sound assessment is provided. Embodiments present a method to measure acoustics related to breathing and heartbeat sounds using small-scale radars. Acoustic data derived from the radar return measurements can be based on phase changes of the radar return measurements over a period of time. The radar stethoscope (12) can capture and identify respiratory and heart acoustics as traditionally captured by a clinical stethoscope. Using advanced radar processing algorithms, these acoustic signals can be recovered from a distance and without making contact with the patient (14).
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公开(公告)号:US20240341613A1
公开(公告)日:2024-10-17
申请号:US18294757
申请日:2022-07-29
Inventor: Daniel W. Bliss , Yu Rong
IPC: A61B5/0265 , A61B5/00 , A61B5/024 , A61B5/0507
CPC classification number: A61B5/0265 , A61B5/0053 , A61B5/02416 , A61B5/0507 , A61B5/7246 , A61B2560/0462
Abstract: System and method for contactless vascular flow measurement are provided. Herein, a measurement circuit emits a radio frequency (RF) waveform toward a human peripheral body part and measures micro-vessel motion in an area of interest of the human peripheral body part based on reflections of the RF waveform. Accordingly, the measurement circuit can extrapolate vascular flow information in the human peripheral body part based on the measured micro-vessel motion. In a non-limiting example, the measurement circuit can detect inner organ vibrations to measure pulse rate, strength, and/or pressure caused by radial arterial blood flow changes at the human peripheral body part. By detecting and measuring the vascular flow via the RF waveform, the vascular flow measurement system provides a non-invasive approach to detect and/or prevent peripheral artery diseases. Further, the measurement circuit emits a very low power, non-ionizing RF waveform to help minimize potential health risks to a human body.
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公开(公告)号:US11690563B2
公开(公告)日:2023-07-04
申请号:US17772844
申请日:2020-10-27
Inventor: Yu Rong , Alex Chiriyath , Arindam Dutta , Daniel W. Bliss
IPC: A61B5/00 , A61B5/0205 , A61B5/05
CPC classification number: A61B5/4812 , A61B5/0205 , A61B5/05 , A61B5/4818
Abstract: Methods and systems for remote sleep monitoring are provided. Such methods and systems provide non-contact sleep monitoring via remote sensing or radar sensors. In this regard, when processing backscattered radar signals from a sleeping subject on a normal mattress, a breathing motion magnification effect is observed from mattress surface displacement due to human respiratory activity. This undesirable motion artifact causes existing approaches for accurate heart-rate estimation to fail. Embodiments of the present disclosure use a novel active motion suppression technique to deal with this problem by intelligently selecting a slow-time series from multiple ranges and examining a corresponding phase difference. This approach facilitates improved sleep monitoring, where one or more subjects can be remotely monitored during an evaluation period (which corresponds to an expected sleep cycle).
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公开(公告)号:US20230139637A1
公开(公告)日:2023-05-04
申请号:US17801543
申请日:2021-03-31
Inventor: Daniel W. Bliss , Yu Rong , Arindam Dutta , Alex Chiriyath
Abstract: Vital sign monitoring via remote sensing on stationary exercise equipment is provided. A new non-contact approach described herein uses radio frequency (RF) radar (e.g., ultra-wide band (UWB) radar) to remotely monitor vital sign information (such as heartbeat and breathing) and human activity information of subjects using stationary exercise equipment. In some embodiments, a radar sensor captures micro-scale chest motions (corresponding to the vital sign information) as well as macro-scale body motions (corresponding to movements from exercise). A signal processor receives radar signals from the radar sensor and processes the radar signals to reconstruct vital sign information from the micro-scale chest motions and/or human activity information from the macro-scale body motions using a joint vital sign-motion model, which can be trained using machine learning and other approaches.
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公开(公告)号:US20220142478A1
公开(公告)日:2022-05-12
申请号:US17435580
申请日:2020-03-19
Inventor: Daniel W. Bliss , Yu Rong
IPC: A61B5/00 , A61B5/024 , A61B5/113 , A61B5/16 , A61B5/11 , G01S7/41 , G01S13/18 , G01S13/89 , G01S13/02 , A61B5/08
Abstract: A precise cardiac data reconstruction method is provided, which may also be referred to herein as radar cardiography (RCG). RCG can reconstruct cardiac data, such as heart rate and/or electrocardiogram (ECG)-like heartbeat waveform signals wirelessly by using advanced radar signal processing techniques. For example, heartbeat and related characteristics can be monitored by isolating cardiovascular activity from strong respiratory interference in spatial spaces: azimuth and elevation. This results in significant improvements to pulse signal-to-noise-ratio (SNR) compared to conventional approaches, facilitating heart-rate variability (HRV) analysis.
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