Wearable Sensor Array for Health Risk Detection
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Solution Overview
Problem
Current wearable protection systems, such as helmets, lack an efficient and innovative means to detect, assess, predict, and analyze health risks effectively, failing to provide robust information regarding impact forces and associated warnings or counteractions.
Innovation Solution
A wearable housing equipped with a sensor array that detects kinetic signals, determines a kinetic index, and performs responsive actions such as providing warnings, logging data, or counteractions based on the index, which includes sensors arranged in a matrix within the housing to detect cardiac, respiratory, and neurological data, and process kinetic data to assess and respond to potential injuries.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a sensor array is integrated into a wearable housing to detect kinetic signals and determine health risks, then the detection capability and health risk assessment are improved, but the device complexity increases
Solution Approach 1:
The system segments the health monitoring function into multiple specialized sensors (accelerometers, gyroscopes, impact sensors) distributed within the wearable housing, each detecting specific kinetic parameters. This segmentation enables comprehensive health risk detection while organizing complexity into modular, manageable components
Solution Approach 2:
The wearable housing integrates multiple sensor types that serve universal health monitoring functions - detecting various kinetic signals (acceleration, rotation, impact) to assess different health risks (concussions, falls, collisions). This multi-functionality improves detection capability while consolidating what would otherwise be separate devices
2Reliability
If real-time kinetic signal detection and analysis is implemented to provide warnings and counteractions, then the response effectiveness to health risks is improved, but the energy consumption increases
Solution Approach 1:
The system employs periodic sampling of kinetic signals rather than continuous monitoring, analyzing data at intervals sufficient to detect health risks while allowing the system to enter low-power states between measurements. This periodic operation maintains reliable detection capability while significantly reducing overall energy consumption
Solution Approach 2:
The system implements feedback mechanisms where kinetic signal data is continuously analyzed and used to trigger warnings or counteractions only when health risks are detected. This event-driven feedback approach ensures effective response to actual risks while avoiding unnecessary energy consumption during normal operation
Data Source
AI summary
In some embodiments, a method, apparatus, and a system for sensing a force are provided. The apparatus may comprise a plurality of sensors configured to detect an impact force. The plurality of sensors may be arranged into a housing, such as a sports helmet. The apparatus also includes a controller operatively coupled to the plurality of sensors. The controller is adapted to: receive a signal from at least one of the plurality of sensors; determine whether a value of the signal exceeds a threshold; perform a responsive action in response to a determination that the value of signal exceeds the threshold. The responsive action comprises providing a warning, performing a logging function, and/or performing a counteraction.