Galvanic Skin Response Sleep Detection via Threshold Adaptation
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Solution Overview
Problem
Conventional polysomnography processes are complex and cannot be performed in a user's usual environment, often disrupting natural sleep patterns and requiring multiple sensors that obstruct sound sleep.
Innovation Solution
An electronic device that acquires galvanic skin response and motion information to determine an activity state, such as asleep or awake, using parameters generated from these signals to set thresholds and determine sleep or wake states without the need for external assistance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If polysomnography is performed using multiple biometric signal measurement sensors, then sleep detection accuracy is improved, but user comfort and natural sleep pattern are deteriorated
Solution Approach 1:
The patent extracts and uses only the galvanic skin response signal from among multiple possible biometric signals, eliminating the need for multiple sensors. This single-signal approach maintains sleep detection capability while removing the harmful effects of multiple attached sensors on natural sleep patterns
Solution Approach 2:
The galvanic skin response signal is used for multiple purposes: determining sleep/wake states, calculating parameters for threshold determination, and providing the basis for activity state classification. This multi-functional use of a single signal type replaces the need for multiple specialized sensors
2Reliability
If polysomnography is performed in a hospital environment with multiple sensors, then measurement reliability is improved, but ease of operation and adaptability to home environment are deteriorated
Solution Approach 1:
The electronic device performs automatic threshold determination using parameters calculated from the user's own galvanic skin response data. The system self-calibrates by using previous intervals' parameters to set current interval thresholds, eliminating the need for external specialists or complex manual calibration procedures
Solution Approach 2:
The system performs preliminary calculations of parameters from galvanic skin response data in previous time intervals before determining thresholds for current interval analysis. This preliminary processing enables automatic adaptation to the user's individual characteristics without requiring pre-hospital setup
3Measurement precision
If multiple biometric signals are measured simultaneously, then sleep state determination accuracy is improved, but device complexity is increased
Solution Approach 1:
The patent extracts and utilizes only the galvanic skin response signal, removing the complexity associated with acquiring, processing, and synchronizing multiple different biometric signals. This single-signal approach maintains sufficient accuracy for sleep state determination while dramatically simplifying the system architecture
Solution Approach 2:
Multiple analytical functions (sleep state detection, parameter calculation, threshold determination) are merged into a unified processing system that operates on a single galvanic skin response signal stream, reducing the complexity of coordinating multiple independent measurement systems
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
This approach minimizes sleep disruption, allows for portable and automatic sleep state determination, reduces the need for complex equipment, and lowers analysis costs by enabling signal measurement without a second party's assistance.
Implementation Method 1
acquiring a galvanic skin response
Data Source
AI summary
Disclosed is a method for an electronic device. The method may include: acquiring a galvanic skin response; generating a first parameter for a first interval and a second parameter for a second interval based on the galvanic skin response, the second interval being an interval before the first interval; determining a first threshold corresponding to the first interval based on the second parameter; and determining an activity state of the first interval based on the first threshold and the first parameter corresponding to the first interval.