Stroke detection and mitigation
AssigneeHealthcare Integrated Technologies, Inc.
InventorsKenneth M. GREENWOOD, Scott Michael BORUFF, Jurgen VOLLRATH
Life of this patent
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Abstract
A method and system for detecting a possible stroke in a person through the analysis of voice data and image data regarding the gate of the user, facial features and routines, and corroborating any anomalies in one set of data against anomalies in another set of data for a related time frame.
Claims27
A system for detecting a stroke in a user and mitigating the impact of a stroke, comprising
- a video camera for monitoring any two or more of a user's gate, a user's facial features, and a user's routines (collectively referred to herein as image parameters),
- a microphone for monitoring a user's voice parameters, wherein the video camera and microphone are collectively referred to as sensors,
- a processor, and
- a memory configured with machine-readable code defining an algorithm for analyzing image data from the video camera and voice data from the microphone to identify anomalies in any of the image parameters or voice parameters indicative of a possible stroke, and for validating any anomaly in the data from the video camera or microphone by comparing said anomaly with any anomaly detected in any of the other parameters, to define a stroke event.
A system for detecting a stroke in a user and mitigating the impact of a stroke, comprising
- a video camera for monitoring at least one of a user's gate, a user's facial features, and a user's routines,
- a microphone and a speaker defining an interactive voice platform, wherein the video camera and microphone collectively are referred to as sensors,
- a processor, and
- a memory configured with machine-readable code defining an algorithm for analyzing data from the video camera and the microphone to identify anomalies in any of the image data from the video camera or voice data from the microphone indicative of a possible stroke in the user, and for validating anomalies in the image data or speech data, with data from the microphone or video camera, respectively, to define a stroke event.
A method for detecting and mitigating the impact of a stroke in a user, comprising
- monitoring any two or more of a user's gate patterns, facial features, routines, and speech patterns (collectively referred to herein as user parameters),
- detecting an anomaly in one or more of the user parameters based on previously stored data on two or more of the user's gate, facial features, routines, and speech,
- verifying an anomaly in any one of the user parameters by comparing the anomaly with an anomaly in any one of the other user parameters captured during a related time-frame, and
- triggering a stroke event in the case of a verification.
Dependencies are inferred from the claim text.