Hyper-precise positioning and communications system and network

    公开(公告)号:US11812341B2

    公开(公告)日:2023-11-07

    申请号:US17521490

    申请日:2021-11-08

    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.

    SYSTEM AND METHOD FOR CONTACTLESS VASCULAR FLOW MEASUREMENT

    公开(公告)号:US20240341613A1

    公开(公告)日:2024-10-17

    申请号:US18294757

    申请日:2022-07-29

    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.

    Methods and systems for remote sleep monitoring

    公开(公告)号:US11690563B2

    公开(公告)日:2023-07-04

    申请号:US17772844

    申请日:2020-10-27

    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).

    VITAL SIGN MONITORING VIA REMOTE SENSING ON STATIONARY EXERCISE EQUIPMENT

    公开(公告)号:US20230139637A1

    公开(公告)日:2023-05-04

    申请号:US17801543

    申请日:2021-03-31

    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.

Patent Agency Ranking