Wearable Biosensor Adaptive Analysis for Battery Life Extension
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Solution Overview
Problem
Wearable biosensor devices face significant power consumption challenges due to high-complexity data analysis and continuous wireless communication, leading to rapid battery drain and limited operational life, especially in hermetically sealed devices with non-replaceable batteries.
Innovation Solution
Implement adaptive power management strategies that dynamically adjust sensor data analysis and operating modes based on received data, reducing complexity and wireless communication only when necessary, such as by adjusting sampling rates and activating radio subsystems only for urgent events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-complexity data analysis is performed continuously, then measurement precision is improved, but use of energy deteriorates
Solution Approach 1:
The patent implements dynamic adjustment of analysis complexity based on detected events. The system transitions between a first analysis mode with lower complexity for continuous monitoring and a second analysis mode with higher complexity only when events are detected, allowing the measurement precision to be enhanced when needed while maintaining low energy consumption during normal operation.
Solution Approach 2:
The system changes the parameter of analysis complexity based on operational state. By modifying the analysis depth and computational intensity according to whether physiological events are detected, the system optimizes the balance between measurement precision and energy consumption, performing detailed analysis only when necessary.
2Reliability
If wireless communication is activated continuously, then reliability is improved, but use of energy deteriorates
Solution Approach 1:
The patent implements periodic activation of the radio subsystem based on event detection. Instead of continuous communication, the system activates wireless transmission only when physiological events are detected that require remote notification, significantly reducing energy consumption while maintaining reliable communication for important events.
Solution Approach 2:
The system determines autonomously when wireless communication is necessary based on its own event detection capabilities. The processor evaluates detected physiological events and self-determines whether radio activation is needed, eliminating the need for continuous communication while ensuring important events are transmitted.
3Productivity
If continuous monitoring is performed, then productivity is improved, but use of energy deteriorates
Solution Approach 1:
The system dynamically adjusts its monitoring intensity based on operational needs. By implementing adaptive analysis modes that activate only when events are detected, the system maintains continuous monitoring capability for important events while reducing overall energy consumption to extend battery operational life.
Solution Approach 2:
The patent ensures continuity of useful action by maintaining the ability to detect and respond to physiological events at any time. The system keeps the sensor and basic processing active for continuous monitoring, while activating intensive analysis and communication only when events occur, thus maintaining productivity without sustained high energy consumption.
Data Source
AI summary
One disclosed example method includes receiving sensor data from a biosensor; determining an event using a first analysis based on the sensor data, the first analysis having a first power cost; determining to perform a second analysis based on the event; in response to determining to perform the second analysis, performing the second analysis based on the sensor data, the second analysis having a second power cost greater than the first power cost; and wirelessly transmitting results of the second analysis to a remote device.