Wearable Seizure Monitor Using Motion Sensors
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Solution Overview
Problem
Current seizure detection methods, such as EEG machines, are invasive, expensive, and not suitable for home or personal use, as they require probes on the scalp and manual interpretation by trained personnel, limiting their accessibility and comfort for patients.
Innovation Solution
A wearable, compact, and low-cost seizure detection system using motion sensors (accelerometers and gyro sensors) or video data to detect seizure patterns, which can alert concerned parties and record data for later analysis, providing non-invasive and real-time monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If EEG machines are used for seizure detection, then detection accuracy is improved, but device complexity and cost increase significantly
Solution Approach 1:
The patent replaces the complex electrical measurement system (EEG probes and amplifiers) with a simple mechanical motion sensing system using accelerometers and gyroscopes. These sensors detect characteristic seizure motions through body movement patterns, eliminating the need for invasive electrical contacts while maintaining detection capability through alternative physical measurement principles.
Solution Approach 2:
The invention employs low-cost, commercially available motion sensors (accelerometers and gyroscopes) that can be integrated into inexpensive wearable devices. These sensors are mass-produced consumer electronics components rather than specialized medical equipment, dramatically reducing device cost while providing sufficient performance for seizure detection when used with appropriate algorithms.
2Measurement precision
If EEG probes are mounted on the patient's scalp, then seizure detection capability is improved, but patient comfort and ease of operation deteriorate
Solution Approach 1:
The patent substitutes invasive electrical probes with non-invasive motion sensors that can be worn like a wristwatch or attached to clothing. The accelerometers and gyroscopes detect seizure-related body movements through fabric or skin contact without penetrating the scalp, eliminating discomfort, scarring, and restrictions on patient movement while maintaining detection effectiveness.
3Reliability
If manual interpretation of EEG graphs is required, then detection reliability is improved, but loss of time and productivity increase
Solution Approach 1:
The system performs automatic seizure detection through embedded algorithms that analyze motion sensor data in real-time. The device autonomously identifies seizure patterns, generates alerts, and notifies caregivers without requiring manual graph interpretation, thereby eliminating time loss while maintaining reliability through automated pattern recognition capabilities.
Solution Approach 2:
The patent employs accelerated signal processing and pattern recognition algorithms that rapidly analyze motion data streams to detect seizures. This computational acceleration enables real-time detection and alert generation, dramatically reducing the time from seizure occurrence to caregiver notification compared to manual EEG review processes.
4Measurement precision
If EEG equipment is used, then detection precision is improved, but accessibility and ease of manufacture worsen due to high cost
Solution Approach 1:
The invention utilizes inexpensive, mass-market motion sensors (accelerometers and gyroscopes) that are already integrated into consumer electronics like smartphones and wearables. These components can be sourced from standard electronic component suppliers and assembled using conventional manufacturing processes, making the device accessible for home use and easy to manufacture at scale.
Solution Approach 2:
The patent employs motion sensors that serve multiple functions: they detect seizures, track patient activity patterns, and can potentially monitor other medical conditions. This multi-functionality allows a single device to provide various health monitoring capabilities, reducing overall system cost and increasing accessibility by leveraging universal sensor technology rather than specialized medical equipment.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables effective, non-invasive, and cost-effective seizure detection and monitoring, allowing for immediate alerts and later analysis, improving patient safety and caregiver response without the need for expensive equipment or trained personnel.
Implementation Method 1
a first sensor of a plurality of sensors, the first sensor being an acceleration sensor
Implementation Method 2
a second sensor of the plurality of sensors, the second sensor being a gyro sensor
Data Source
AI summary
In an embodiment, a seizure monitor provides intelligent epilepsy seizure detection, monitoring, and alerting for epilepsy patients or people with seizures. In an embodiment, the seizure monitor may be a wearable, non-intrusive, passive monitoring device that does not require any insertion or ingestion into the human body. In an embodiment, the seizure monitor may include several output options for outputting the accelerometer/gyro or other motion sensor data and video data, so that the data may be immediately validated and/or remotely viewed. The device alerts are communicated to the outside care givers via wireless or wired medium. The device may also support recording of accelerometer or other motion sensor data and video data, which can be reviewed later for further analysis and/or diagnosis. The device and invention is also used and applicable for other body motion disorders or detection and diagnostics.