Automatic Wireless Peripheral Pairing via Sensor Signal Correlation
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Solution Overview
Problem
Current wireless pairing methods for electronic peripheral devices in sleep apnea treatment systems, such as CPAP machines, require user intervention and fail to automatically distinguish between correct and incorrect peripherals, leading to potential spurious pairing issues in environments with multiple devices.
Innovation Solution
A method and system that utilize correlation analysis between signals from a base unit sensor and peripheral device sensors to automatically pair the correct peripheral with the base unit, using a wireless communication protocol like Bluetooth, ensuring accurate and efficient pairing without user intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automatic wireless pairing is implemented without correlation analysis, then pairing speed is improved, but pairing accuracy deteriorates leading to spurious connections
Solution Approach 1:
The patent replaces manual pairing operations with an automated system that uses correlation analysis of sensor signals to identify and establish wireless connections. The base unit and peripheral devices automatically compare their sensor data patterns to determine correct pairings, eliminating the need for user intervention while ensuring accurate matching between devices.
2Reliability
If manual pairing intervention is required, then pairing accuracy is improved, but ease of operation deteriorates
Solution Approach 1:
The system performs self-service pairing by automatically analyzing correlation between sensor signals from the base unit and peripheral devices. The devices independently determine which peripherals should be paired based on signal correlation patterns, eliminating the need for user intervention while maintaining high pairing accuracy through automated signal analysis.
3Ease of operation
If simple automatic pairing is used in multi-device environments, then ease of operation is improved, but reliability deteriorates due to spurious pairing
Solution Approach 1:
The patent implements feedback through correlation analysis where the base unit continuously monitors and compares sensor signals from multiple peripheral devices. By analyzing the correlation patterns between its own sensor data and the data from connected peripherals, the system provides feedback to determine which devices are correctly paired, preventing spurious connections even in environments with multiple devices present.
Data Source
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AI summary
An automatic wireless pairing method includes causing a base unit to wirelessly communicate with a number of wireless peripheral devices and wirelessly receive a peripheral device data signal from each of the wireless peripheral devices, wherein the peripheral device data signal received from each of the wireless peripheral devices is based on one or more measurements made by a sensor of the wireless peripheral device, analyzing in the base unit each of the peripheral device data signals, selecting in the base unit one or more of the wireless peripheral devices based on the analyzing of the peripheral device data signals, and responsive to the selecting step, establishing or maintaining wireless communication according to the wireless communications protocol between the base unit and the selected one or more of the wireless peripheral devices and not the wireless peripheral devices other than the selected one or more of the wireless peripheral devices.