DEPTH SENSING VISUALIZATION MODES FOR NON-CONTACT MONITORING

    公开(公告)号:US20230200679A1

    公开(公告)日:2023-06-29

    申请号:US18173008

    申请日:2023-02-22

    申请人: Covidien LP

    摘要: The present invention relates to the field of medical monitoring, and, in particular, to non-contact detecting and monitoring of patient breathing. Systems, methods, and computer readable media are described for calculating a change in depth of a region of interest (ROI) on a patient and assigning one or more visual indicators to at least a portion of a graphic based on the calculated changes in depth and/or based on a tidal volume signal generated for the patient. In some embodiments, the systems, methods, and/or computer readable media can display the visual indicators overlaid onto at least the portion in real-time and/or can display the tidal volume signal in real-time. The systems, methods, and/or computer readable media can trigger an alert and/or an alarm when a breathing abnormality is detected.

    SYSTEMS AND METHODS FOR AIDING NON-CONTACT DETECTOR PLACEMENT IN NON-CONTACT PATIENT MONITORING SYSTEMS

    公开(公告)号:US20230000584A1

    公开(公告)日:2023-01-05

    申请号:US17662055

    申请日:2022-05-04

    申请人: Covidien LP

    IPC分类号: A61B90/00

    摘要: Systems and methods for aiding a clinician in the proper positioning, placing or otherwise locating of a non-contact detector component of a non-contact patient monitoring system are described. The systems and methods may employ a targeting aid superimposed on a display screen component of the non-contact patient monitoring system, the targeting aid being designed to assist the clinician in properly locating the non-contact detector for proper and accurate functioning of the non-contact patient monitoring system. The systems and methods described herein may also employ a bendable mounting arm to which the non-contact detector is attached such that the non-contact detector can be easily moved into the proper location when used in conjunction with the targeting aid superimposed on the display.

    VIDEO-BASED PATIENT MONITORING SYSTEMS AND ASSOCIATED METHODS FOR DETECTING AND MONITORING BREATHING

    公开(公告)号:US20220211333A1

    公开(公告)日:2022-07-07

    申请号:US17656597

    申请日:2022-03-25

    申请人: Covidien LP

    摘要: The present disclosure relates to the field of medical monitoring, and, in particular, to non-contact detecting and monitoring of patient breathing. Systems, methods, and computer readable media are described for calculating a change in depth of regions in one or more regions of interest (ROI's) on a patient and assigning one or more visual indicators to the regions based on the calculated changes in depth of the regions over time. In some embodiments, one or more breathing parameter signals corresponding to the regions can be generated and/or analyzed. In these and other embodiments, the one or more visual indicators can be displayed overlaid onto the regions in real-time. In these and still other embodiments, the systems, methods, and/or computer readable media (i) can display one or more generated breathing parameter signals in real-time and/or (ii) can trigger an alert and/or an alarm when a breathing abnormality is detected.

    DESATURATION SEVERITY PREDICTION AND ALARM MANAGEMENT

    公开(公告)号:US20230088393A1

    公开(公告)日:2023-03-23

    申请号:US18052516

    申请日:2022-11-03

    申请人: Covidien LP

    摘要: Implementations described herein disclose a method of classifying oxygen level desaturation events. In one implementation, the method includes receiving input signal sequences, the input signals indicative of a physiological condition of a patient, generating an input sequence of oxygen saturation levels based on the input signal sequence, comparing the input sequence of oxygen saturation levels to a desaturation alarm threshold to determine a desaturation event, generating an input feature matrix based on at least one of the input signal sequences and the input sequence of oxygen saturation levels, and classifying based on the input feature matrix, using a neural network, the desaturation event being a severe desaturation event (SDE) or a non-severe desaturation event (non-SDE).

    MASK FOR NON-CONTACT RESPIRATORY MONITORING

    公开(公告)号:US20230082016A1

    公开(公告)日:2023-03-16

    申请号:US17814798

    申请日:2022-07-25

    申请人: Covidien LP

    IPC分类号: A61B5/08 A61B5/00

    摘要: Methods and systems for non-contact monitoring of a patient to determine a respiratory parameter such as respiration rate. The systems and methods receive a depth signal from the patient to determine patient movement indicative of respiration. The methods include analyzing multiple regions in a region of interest (ROI) to determine whether or not respiration is occurring in the analyzed region, and preparing a mask with the regions determined to have respiration. The mask is used to determine the respiratory parameter of the patient in the masked ROI.

    AI-BASED VIDEO TAGGING FOR ALARM MANAGEMENT

    公开(公告)号:US20220254241A1

    公开(公告)日:2022-08-11

    申请号:US17660788

    申请日:2022-04-26

    申请人: Covidien LP

    摘要: Implementations described herein discloses, a method of AI based video tagging for alarm management includes receiving, using a processor, a video stream, the video stream comprising a sequence of images for at least a portion of a patient, determining, using the processor, a physiological parameter for the patient based on the sequence of images, detecting, using machine learning, presence of a noise object and setting a interaction-flag to a positive value in response to detecting the noise object, comparing a quality level of the sequence of images with a threshold quality level, and modifying an alarm level based on the value of the interaction-flag and comparison of the quality level of the sequence of depth images with the threshold quality level.

    SYSTEM AND METHOD OF PREDICTING OXYGEN LEVEL DESATURATION

    公开(公告)号:US20210312781A1

    公开(公告)日:2021-10-07

    申请号:US16838989

    申请日:2020-04-02

    申请人: Covidien LP

    摘要: Implementations described herein disclose a method of determining how well predictions of an impending hypoxia are reported in real-time, so that a user has higher confidence in the reported predictions. Specifically, the method of predicting oxygen level desaturation disclosed herein includes generating an input sequence of oxygen levels based on an input signal sequence, the input signals indicative of a physiological condition of a patient, generating an input feature sequence based on at least one of the input signal sequence and the input sequence of oxygen levels, generating, using a neural network, a predicted value sequence of the oxygen levels based on the input feature sequence, comparing the predicted value sequence of the oxygen levels with the input sequence of oxygen levels for a predetermined temporal window to generate a predicted sequence confidence value, and generating, in response to determining that the predicted sequence confidence value is above a threshold confidence value, an oxygen level desaturation prediction based on the predicted value sequence.