Remote physiological monitor

Inventors

Atlas, Dan

Assignees

Atlasense Biomed Ltd

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Publication Number

US-11076763-B2

Patent

Publication Date

2021-08-03

Expiration Date


Abstract

A system comprising a remotely programmable micromonitor with a wireless sensing system-on-module (SOM), one or more sensors to detect one or more conditions in a subject by monitoring one or more parameters associated with the conditions by comparing any monitored parameter to a baseline measurement of the monitored parameter from the subject, a plurality of sensors corresponding to a monitored parameter and connected to the micromonitor to convey measurements of all monitored parameters, the sensors including at least one of a non-optical pulse wave sensor or an electrocardiogram (ECG) sensor, a communications module capable of communicating with a wireless technology, wherein the module can send an alert signal to the subject or an attending physician or a remote service center or any other subject, and one or more algorithms for monitoring conditions and/or for predicting conditions, including at least one of a fall detection or fall prediction algorithm.

Core Innovation

The invention relates to monitoring a physiological condition of a subject using a multi-sensor monitoring system that is placed on the subject. The system includes a wireless sensing system-on-module (SOM) micro-monitor that is remotely programmable to detect one or more conditions by monitoring one or more remotely programmed parameters and comparing any monitored parameter to a baseline measurement from the subject. Sensors convey measurements of all monitored parameters to the micro-monitor, and the sensors include at least a non-optical pulse wave sensor and an electrocardiogram (ECG) sensor.

The monitoring approach uses measuring at a baseline time to establish a baseline condition for each parameter and then measuring new parameters after the baseline measurement to establish a new condition for each parameter. The system compares the new condition to the baseline condition to determine if there is a changed condition in the subject for each parameter, and transmits alerts upon detection of significant changes. The communications module communicates with a wireless technology and sends an alert signal to the subject or to an attending physician when the monitor detects a remotely programmed significant physiological change in the monitored parameter compared to the baseline measurement.

The invention further incorporates algorithms for monitoring and predicting conditions using combined sensor data. The algorithms include at least one of a fall detection algorithm, a fall prediction algorithm, or a blood pressure trending algorithm which uses the non-optical pulse sensor with the ECG to measure pulse transit time (PTT). The monitoring also includes fall detection and prediction logic, apnea discrimination including central apnea and obstructive apnea, and physiological-event alert triage using baseline-versus-threshold comparisons.

Claims Coverage

The document includes one independent claim directed to a method for monitoring physiological conditions using a remotely programmable wireless multi-sensor system that compares remotely programmed monitored parameters to baseline measurements. The claim includes four inventive features covering baseline-relative monitoring, sensor configuration, wireless alerting, and algorithmic monitoring/prediction.

Remotely programmable wireless SOM micro-monitor with baseline comparison

A micro-monitor with a wireless sensing system-on-module (SOM) configured to be remotely programmable to detect one or more conditions by monitoring one or more remotely programmed parameters and comparing any remotely programmed monitored parameter to a baseline measurement of the monitored parameter from the subject.

Multi-sensor configuration including non-optical pulse wave sensor and ECG

A plurality of sensors connected to the micro-monitor to convey measurements of all monitored parameters, the sensors comprising at least a non-optical pulse wave sensor and an electrocardiogram (ECG) sensor.

Wireless alert signal to subject or attending physician upon significant baseline-relative change

A communications module configured to communicate with a wireless technology and send an alert signal to the subject or to an attending physician upon detecting a remotely programmed significant physiological change in the monitored parameter as compared to the baseline measurement.

PTT-based monitoring and prediction algorithms using non-optical pulse sensor and ECG

One or more algorithms for monitoring conditions and/or predicting conditions, including at least one of a fall detection algorithm, a fall prediction algorithm, or a blood pressure trending algorithm, wherein the blood pressure trending algorithm uses the non-optical pulse sensor with the ECG to measure pulse transit time (PTT).

Across the independent claim, the core claim coverage centers on remotely programmable baseline-relative monitoring by a wireless SOM micro-monitor using a sensor set including non-optical pulse wave and ECG, coupled with wireless alerting to the subject or attending physician and at least one algorithm including PTT-based blood pressure trending or fall detection or fall prediction.

Stated Advantages

Enables sending an alert signal to the subject or to an attending physician upon detecting a remotely programmed significant physiological change compared to a baseline measurement.

Supports blood pressure trending and monitoring/prediction algorithms using pulse transit time (PTT) measured using the non-optical pulse sensor and ECG.

Allows power conservation by remotely controlling sensor conditioning sub-modules to be powered up or down to conserve battery energy.

Documented Applications

Monitoring a physiological condition of a subject using a wearable/patch multi-sensor monitoring system with remote programming and baseline comparison.

Fall detection and fall prediction for the subject using algorithms associated with the monitoring system.

Blood pressure trending using pulse transit time (PTT) from the non-optical pulse sensor and ECG.

Apnea discrimination, including distinguishing between central apnea and obstructive apnea episodes.

Monitoring for significant physiological changes that trigger alert signaling to the subject or an attending physician.

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