Wearable Biosensor Network for Human and Equine Physiological Monitoring
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Solution Overview
Problem
Current wearable technologies for athletes are inaccurate and not designed for professional sports, failing to effectively measure and analyze physiological characteristics in real-time, leading to inadequate health monitoring and performance enhancement, especially in team sports and equine activities.
Innovation Solution
A wearable sports system integrating smart sensors, communication protocols, and data management to provide real-time analytics and alerts, combining biosensors with geometric tracking and multimedia inputs to balance performance with physical limitations, enhancing health monitoring and training for both humans and animals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current wearable technologies are used for athletes, then device simplicity is maintained, but measurement precision and reliability of physiological data are insufficient
Solution Approach 1:
The system divides the wearable technology into separate functional modules: biosensors for physiological measurement, geometric tracking for motion analysis, and communication protocols for data transmission. Each module can be independently optimized and selected based on specific needs, allowing high measurement precision without requiring the entire complex system to be deployed in all applications.
Solution Approach 2:
The wearable system is designed to perform multiple functions including physiological monitoring, motion tracking, and real-time communication. This multi-functional approach consolidates what would otherwise require multiple separate devices into one unified system, achieving high measurement precision across different physiological parameters without proportionally increasing overall device complexity.
2Reliability
If real-time physiological monitoring is implemented, then health management quality improves, but loss of time for data processing and communication increases
Solution Approach 1:
The system pre-configures alert thresholds and communication protocols before physiological monitoring begins. Biosensors are pre-calibrated and communication channels are established in advance, allowing real-time data processing without delays for configuration or setup during critical monitoring periods.
Solution Approach 2:
The system implements real-time feedback loops where physiological data is continuously monitored, immediately processed against pre-set thresholds, and alerts are instantly communicated when anomalies are detected. This closed-loop feedback system ensures high reliability of health monitoring while minimizing time loss through automated real-time processing rather than batch analysis.
3Loss of information
If comprehensive biosensor networking is deployed, then information completeness improves, but device complexity and difficulty of operation increase
Solution Approach 1:
The system employs communication protocols and data management layers as intermediaries between the comprehensive biosensor network and the end user. These intermediaries aggregate, filter, and present physiological information in manageable formats, ensuring complete information is captured from multiple sensors while simplifying the data presentation and operational interface for users.
4Measurement precision
If wearable sensors are used for equine monitoring, then health information quality improves, but adaptability to different species and applications decreases
Solution Approach 1:
The wearable system allows for adjustable physiological parameters and thresholds that can be customized for different species including horses. Biosensor sensitivity, measurement ranges, and alert criteria can be modified to match the specific physiological characteristics of equines versus humans, maintaining high measurement precision for each species while enabling versatile cross-species application through parameter reconfiguration.
Data Source
AI summary
A sports training and guidance platform network which intertwine various wearables is provided. The network includes at least one wearable containing one biosensor worn on a human body and one worn on a animal body, Timestamp biometric and other measurements and inputs from a data stream for both human and animals collected, analyzed, compared and accessed on one or more mobile device platforms. According, the wearable network will measure and compare various animal biosensor data, and motion i.e., accelerometers, gyroscopes with human biosensor data. A sports training toolkit which includes wearable biosensors, sensors, secure wearable communication network(s) and platform and system, applications and database information is also provided.