MACHINE VISION TO PREDICT CLINICAL PATIENT PARAMETERS

    公开(公告)号:US20210219873A1

    公开(公告)日:2021-07-22

    申请号:US17153073

    申请日:2021-01-20

    IPC分类号: A61B5/11 A61B5/00

    摘要: Monitoring patients utilizing computer vision to analyze patient movements on or near a patient support apparatus such as a bed. Computer vision is employed to analyze video feed of patients to detect movements indicative of clinical parameters. Information generated by the computer vision processor can be recorded to a patient's electronic medical record. Such information can be used to make clinical assessments, diagnoses, or detect critical patient events requiring attention of caregivers. In instances where caregiver assistance is required, an alert can be communicated to one or more caregivers through a caregiver call system.

    AUTOMATED ORTHOSTATIC HYPOTENSION ASSESSMENT

    公开(公告)号:US20210030610A1

    公开(公告)日:2021-02-04

    申请号:US16935678

    申请日:2020-07-22

    摘要: A system for automatically assessing orthostatic hypotension for a patient supported on a patient support apparatus. The system receives position data identifying a first position of a patient supported on a patient support apparatus, and after a delay, receives vital signs data of the patient. The system receives position data identifying a second position of the patient supported on the patient support apparatus, and after a delay, receives vital signs data of the patient. The system determines an orthostatic hypotension assessment based on a difference in the vital signs data between the first and second positions. Based on the orthostatic hypotension assessment, the system modifies one or more conditions on the patient support apparatus to mitigate a risk for patient fall.

    Automated orthostatic hypotension assessment

    公开(公告)号:US11484453B2

    公开(公告)日:2022-11-01

    申请号:US16935678

    申请日:2020-07-22

    摘要: A system for automatically assessing orthostatic hypotension for a patient supported on a patient support apparatus. The system receives position data identifying a first position of a patient supported on a patient support apparatus, and after a delay, receives vital signs data of the patient. The system receives position data identifying a second position of the patient supported on the patient support apparatus, and after a delay, receives vital signs data of the patient. The system determines an orthostatic hypotension assessment based on a difference in the vital signs data between the first and second positions. Based on the orthostatic hypotension assessment, the system modifies one or more conditions on the patient support apparatus to mitigate a risk for patient fall.