Seizure Detection Using Optical Video Analysis
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Solution Overview
Problem
Current seizure detection methods are not practical for non-clinical settings due to their obtrusive and cumbersome nature, lacking a reliable and unobtrusive solution for caregivers to timely intervene during seizures, especially in home, work, or school environments.
Innovation Solution
A system comprising a plurality of modules, including a sensor module, feature detection module, alert module, confirmation feature module, severity module, adverse event module, feature personalization module, activity state module, treatment module, and location module, which utilize heart activity and additional physiological data from sensors to detect predefined features associated with seizures, providing alerts and estimated severity to caregivers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If EEG is used as the primary diagnostic tool to detect seizure, then measurement precision is improved, but device complexity and ease of operation deteriorate due to obtrusive and cumbersome nature
Solution Approach 1:
The patent replaces the mechanical EEG sensor system with an optical detection system using a camera to capture video of the individual. The camera records movements and behaviors indicative of seizures without requiring physical contact or attachment to the patient's body, thereby eliminating the obtrusive nature of EEG while maintaining seizure detection capability through visual analysis of seizure manifestations.
Solution Approach 2:
The patent creates a visual copy of the individual's movements and behaviors through video recording. Instead of directly measuring brain electrical activity, the system captures optical information about the individual's physical manifestations of seizures and analyzes this visual data to detect seizure events, providing a non-invasive alternative to EEG.
2Reliability
If EEG is used for seizure detection, then reliability is improved, but device complexity increases making it unsuitable for home, work, or school settings
Solution Approach 1:
The patent substitutes the complex EEG hardware system with a simple camera-based video recording system. The camera captures visual data that can be analyzed to detect seizures, eliminating the need for complex electrode placement, signal amplification, and filtering systems required by EEG, while making the device suitable for use in various settings including home, work, and school environments.
Solution Approach 2:
The patent employs a camera, a universally available and simple device, to perform the specialized function of seizure detection. The camera can be used for multiple purposes including monitoring, documentation, and diagnostic analysis, making the system versatile and adaptable to various settings without requiring specialized equipment or complex setup procedures.
3Reliability
If caregivers need to provide timely intervention during seizures, then health outcomes are improved, but loss of time occurs due to lack of detection warning system
Solution Approach 1:
The patent implements a video recording system that continuously captures the individual's movements and behaviors before, during, and after potential seizure events. By having the recording already in progress, the system can immediately analyze the captured footage to detect seizure onset and alert caregivers, eliminating the time delay associated with setting up detection equipment at the moment a seizure occurs.
Solution Approach 2:
The patent establishes a feedback loop where the video recording system continuously monitors the individual, automatically analyzes the captured footage for seizure indicators, and provides real-time alerts to caregivers when seizures are detected. This closed-loop system ensures that caregivers receive timely notifications and can intervene appropriately, improving response time and health outcomes.
Data Source
AI summary
An apparatus, system, and method are disclosed for detecting seizure symptoms in an individual 102. A sensor module 202 receives physiological data for an individual 102 from one or more sensors 110, 112, such as a heart activity sensor. A feature detection module 204 detects a predefined feature 500, 520, 530, 540 in the physiological data. The predefined feature 500, 520, 530, 540 is associated with a seizure or another medical condition. An alert module 206 broadcasts an alert in response to the feature detection module 204 detecting the predefined feature 500, 520, 530, 540.