Enhanced computer-implemented systems and methods of automated physiological monitoring, prognosis, and triage
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Abstract
Systems and computer-implemented methods of automated physiological monitoring and prognosis of a plurality of subjects. A system includes a plurality of monitoring devices, each having a portion configured for deployment on a surface either opposite a concha or over a mastoid region of a subject, where real-time physiological parameter monitoring is performed. Each monitoring device also includes processor-executable program code configured to periodically generate respective values indicative of real-time physiological signs for the respective subject, and a transmitter configured to periodically and wirelessly transmit these periodically generated respective values to a mobile communication and display device. The mobile communication and display device is configured to use these periodically received respective values for the plurality of subjects from the plurality of monitoring devices to periodically generate a respective prognosis score for each subject, and to periodically generate an alert for at least two of the subjects.
Core Innovation
The invention provides an automated physiological monitoring and prognosis system for a plurality of subjects using a plurality of monitoring devices with surface-mounted physiological sensors. Each monitoring device includes a portion configured for deployment on a surface of a respective subject opposite a concha of an ear or over a mastoid region, and another portion configured for deployment on a neck surface different from the first surface. The physiological sensors periodically generate data based on real-time monitored physiological parameters, including electrocardiogram, ballistocardiogram, and at least one of skin conductance or skin resistance.
Each monitoring device further includes a motion sensor comprising an accelerometer configured to periodically generate data based on real-time monitored motion of the subject. Program code on a processor periodically generates values indicative of real-time physiological signs, including motion-corrected respiratory rate, motion-corrected heart rate, at least one of pacemaker edge detection or R-R interval, and at least one of hydration level, stress level, or neurological response. At least one physiological sensor includes green and infrared light emitters and a corresponding light receptor.
To correct motion effects, the program code periodically generates at least two motion artifact detection signals, including one generated using accelerometer data and another generated using green light data and infrared light data as a motion reference from the physiological sensors. The program code compares the at least two motion artifact detection signals, and when motion artifacts are positively identified, blends the motion artifact detection signals with weight-based averages to filter out motion errors from periodically generated values indicative of heart rate and respiratory rate.
The system transmits the periodically generated physiological sign values over a wireless network and includes a mobile communication and display device that receives the transmitted electronic signals and periodically generates prognosis scores. The mobile communication and display device periodically generates alerts for at least two subjects based on the prognosis scores, and the claims further include severity thresholds and weighting factors for prognosis scoring and triage prioritization order derived from the prognosis scores.
Claims Coverage
The independent claims cover wearable physiological monitoring and prognosis using dual-part deployment on ear concha or mastoid and neck surfaces, multimodal sensing with ECG, ballistocardiogram, and light-based signals with motion reference, accelerometer-based motion sensing, motion artifact detection and blending for motion-corrected heart rate and respiratory rate, and wireless transmission to a mobile communication and display device for prognosis scoring and alerting. Seven inventive features are identified across the claims.
Dual-part wearable deployment on ear concha, mastoid, and neck
A plurality of monitoring devices with a respective portion configured for deployment opposite a concha of an ear or over a mastoid region, and another respective portion configured for deployment on a neck surface different than the first surface.
Multi-modal physiological sensors for real-time monitored parameters
Physiological sensors that periodically generate data based on real-time monitored physiological parameters comprising electrocardiogram, ballistocardiogram, and at least one of skin conductance or skin resistance, with at least one physiological sensor comprising green and infrared light emitters and a corresponding light receptor.
Accelerometer motion sensor
A motion sensor comprising an accelerometer configured to periodically generate data based on real-time monitored motion of the subject.
Motion-corrected physiological signs
Program code periodically generates values indicative of real-time physiological signs including motion-corrected respiratory rate and motion-corrected heart rate, and at least one of pacemaker edge detection or R-R interval, plus at least one of hydration level, stress level, or neurological response.
Dual motion-artifact detection signals with blending-based filtering
Program code periodically generates at least two motion artifact detection signals, compares them, and when motion artifacts are positively identified blends the signals with weight-based averages to filter out motion errors from heart rate and respiratory rate.
Wireless transmission to mobile communication and prognosis scoring
A transmitter periodically transmits electronic signals over a wireless network comprising values indicative of the real-time physiological signs to a mobile communication and display device that periodically generates a prognosis score using the received values.
Alert generation for multiple subjects
The mobile communication and display device periodically generates an alert for at least two subjects based on the periodically generated prognosis scores.
The claims center on a dual-part wearable multi-modal sensing system with accelerometer-based motion sensing and motion-corrected heart rate and respiratory rate generation using dual motion artifact detection signals with blending-based filtering. The system wirelessly transmits generated physiological-sign values to a mobile communication and display device that computes prognosis scores and generates alerts for at least two subjects.
Stated Advantages
Not explicitly described in patent.
Documented Applications
Mass casualty/trauma/battlefield contextual use cases are described for the system including a networked workflow with alerts, centralized triage, and Medevac/Casevac logistics.
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