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    SURVEILLANCE SYSTEM AND METHOD FOR PREDICTING PATIENT FALLS USING MOTION FEATURE PATTERNS
    2.
    发明申请
    SURVEILLANCE SYSTEM AND METHOD FOR PREDICTING PATIENT FALLS USING MOTION FEATURE PATTERNS 有权

    公开(公告)号：US20210350687A1

    公开(公告)日：2021-11-11

    申请号：US17383593

    申请日：2021-07-23

    Applicant: CareView Communications, Inc.

    Inventor： Steven Gail Johnson ,  Derek del Carpio

    IPC: G08B21/04 ,  G06T7/246 ,  G06K9/66 ,  G06K9/00 ,  G08B29/18

    Abstract: A method and system for detecting a fall risk condition, the system comprising a surveillance camera configured to generate a plurality of frames showing an area in which a patient at risk of falling is being monitored, and a computer system comprising memory and logic circuitry configured to store motion feature patterns that are extracted from video recordings, the motion feature patterns are representative of motion associated with real alarm cases and false-alarm cases of fall events, receive a fall alert from a classifier, determine motion features of one or more frames from the plurality of frames that correspond to the fall alert; compare the motion features of the one or more frames with the motion feature patterns, and determine whether to confirm the fall alert based on the comparison.

    Electronic patient sitter management system and method for implementing
    4.
    发明授权
    Electronic patient sitter management system and method for implementing 有权

    公开(公告)号：US11057589B2

    公开(公告)日：2021-07-06

    申请号：US16787840

    申请日：2020-02-11

    Applicant: Careview Communications, Inc.

    Inventor： Sam Anthony Greco ,  Steven Gail Johnson ,  Matthew Cameron Clark ,  Derek Stevan del Carpio

    IPC: H04N7/18 ,  G08B21/02 ,  G06F19/00 ,  G16H40/67 ,  G16H30/20 ,  G16H40/20

    Abstract: An electronic sitter management system coupled to patient surveillance network having a plurality of video cameras, each camera transmitting a stream of surveillance video of a respective patient room. The sitter management system includes at least one sitter management device and a plurality of sitter devices. Each device being assigned a plurality of patient rooms and capable of receiving a plurality of streams of surveillance video for the corresponding plurality of patient rooms and simultaneously displaying a plurality of video images of the corresponding plurality of patient rooms. Each device is also capable of transmitting sitter device availability information to the sitter management device. The sitter management device being capable of recognizing a sitter device being unavailable and reassigning the plurality of patient rooms previously assigned to the unavailable device to other of the plurality of sitter devices that are available.

    SMART MONITORING SAFETY AND QUALITY OF LIFE SYSTEM USING SENSORS
    6.
    发明申请
    SMART MONITORING SAFETY AND QUALITY OF LIFE SYSTEM USING SENSORS 审中-公开

    公开(公告)号：US20190388011A1

    公开(公告)日：2019-12-26

    申请号：US16451164

    申请日：2019-06-25

    Applicant: CareView Communications, Inc.

    Inventor： Steven Gail Johnson ,  Derek del Carpio

    IPC: A61B5/11 ,  G16H40/63 ,  A61B5/00

    Abstract: A smart monitoring system comprising a plurality of sensor devices within a home or facility, at least one of the plurality of sensor devices comprising sensor elements configured to detect activity of an individual in the home or facility, and a computing device configured to receive activity signals from the plurality of sensor devices associated with the individual from the home or facility, parse the activity signals into scoring components by correlating the plurality of sensor devices to the scoring components, the scoring components including a sleep score, a motion score, and an event score, compute a current scoring of the individual based on the scoring components, compare the current scoring of the individual to historic scoring and peer scoring, generate a quality of life score for the individual based on the based on the comparison, and process a clinical analysis of the individual based on the quality of life score, the clinical analysis including graphical representations of the quality of life score and the scoring components.

    SYSTEM AND METHOD FOR PREDICTING PATIENT FALLS
    7.
    发明申请
    SYSTEM AND METHOD FOR PREDICTING PATIENT FALLS 审中-公开

    公开(公告)号：US20170155877A1

    公开(公告)日：2017-06-01

    申请号：US15364872

    申请日：2016-11-30

    Applicant: CareView Communications, Inc.

    Inventor： Steven Gail Johnson ,  Derek del Carpio

    IPC: H04N7/18 ,  G06K9/46 ,  G06K9/62 ,  A61B5/11 ,  G06T7/20

    CPC classification number: H04N7/183 ,  A61B5/1117 ,  A61B5/1128 ,  G06K9/00771 ,  G06K9/4604 ,  G06K9/6269

    Abstract: A method and system for detecting a fall risk condition, the system comprising a surveillance camera configured to generate a plurality of frames showing a surveillance viewport of an area including a patient area, and a computer system comprising memory and logic circuitry configured to identify a first set of frames from the plurality of frames, generate motion images for the first set of frames, determine features from the motion images, the features including at least one of a centroid, centroid area, connected components ratio, bed motion percentage, and unconnected motion, train a classifier based on the determined features from the motion images, receive a second set of frames from the plurality of frames, detect a fall risk event associated with the second set of frames using the classifier, and issue a fall alert based on the detection of the fall risk event, the fall alert comprising one or both of a visual indication and an audible indication.

    SYSTEM AND METHOD FOR PREDICTING PATIENT FALLS
    9.
    发明申请
    SYSTEM AND METHOD FOR PREDICTING PATIENT FALLS 有权
    用于预测患者失败的系统和方法

    公开(公告)号：US20140313340A1

    公开(公告)日：2014-10-23

    申请号：US14321427

    申请日：2014-07-01

    Applicant: CareView Communications, Inc.

    Inventor： Stephen Ecker ,  Kyle Brook Johnson ,  Steven Gail Johnson

    IPC: G06K9/00

    CPC classification number: G06K9/00771 ,  G06K9/00348

    Abstract: A patient fall prediction system receives video image frames from a surveillance camera positioned in a patient's room and analyses the video image frames for movement that may be a precursor to a patient fall. In set up phase, the viewpoint of the camera is directed at a risk area associated with patient falls, beds, chairs, wheelchairs, etc. A risk area is defined graphically in the viewport. The patient fall prediction system generates a plurality of concurrent motion detection zones that are situated proximate to the graphic markings of the risk areas. These motion detection zones are monitored for changes between video image frames that indicate a movement. The pattern of detections is recorded and compared to a fall movement detection signature.

    Abstract translation: 病人跌倒预测系统从位于患者室内的监视摄像机接收视频图像帧，并分析视频图像帧以进行运动，这可能是病人跌倒的前兆。 在设置阶段，相机的观点指向与患者跌倒，床，椅子，轮椅等相关联的风险区域。风景区域在视口中以图形方式定义。 患者跌倒预测系统产生位于危险区域的图形标记附近的多个并行运动检测区域。 监视这些运动检测区域，用于指示运动的视频图像帧之间的变化。 记录检测图案并将其与跌倒运动检测签名进行比较。

    FALL DETECTION USING SENSORS IN A SMART MONITORING SAFETY SYSTEM
    10.
    发明申请
    FALL DETECTION USING SENSORS IN A SMART MONITORING SAFETY SYSTEM 有权

    公开(公告)号：US20250160686A1

    公开(公告)日：2025-05-22

    申请号：US18777776

    申请日：2024-07-19

    Applicant: CareView Communications, Inc.

    Inventor： Steven Gail Johnson ,  Derek del Carpio ,  James M. Fathman

    IPC: A61B5/11 ,  A61B5/00 ,  G08B21/02 ,  G08B21/04 ,  G08B25/10

    Abstract: A smart monitoring system comprising a plurality of sensor devices coupled to appliances and fixtures within a dwelling environment, where at least one of the plurality of sensor devices comprises sensor elements including an accelerometer. The system further comprising a computing device operative to receive event signals from the plurality of sensor devices, identify a possible fall event from one or more of the plurality of sensor devices based on the event signals, sample sensor data from one or more of the plurality of sensor devices wherein the sensor data includes measurements of movement. The computer device is further operative to determine a fall has occurred based on the sampled sensor data, sample additional sensor data from the one or more of the plurality of sensor devices for additional motion at a period of time subsequent to the possible fall event, and determine a recovery from the fall based on the additional sensor data.

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