Sleep State Detection Using Heart Rate and Acceleration Data
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Solution Overview
Problem
Conventional devices fail to accurately detect the light sleep phase for wake-up timing due to incorrect heart rate detection and outliers in heart rate data, leading to incorrect wake-up times.
Innovation Solution
An electronic device uses a combination of pulse wave and acceleration sensors to acquire biological signals, applies filters to correct heart rate data, and sets thresholds based on statistical analysis to determine the light sleep phase, ensuring accurate wake-up timing by minimizing outliers and accounting for individual variations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If heart rate data is used to detect light sleep phase, then sleep state detection is attempted, but detection accuracy deteriorates due to outliers and incorrect heart rate detection
Solution Approach 1:
The patent extracts and removes outlier data points from the heart rate dataset using statistical methods (standard deviation thresholding). By identifying and eliminating abnormal heart rate values that deviate significantly from the norm, the system purifies the input data for sleep state detection, thereby improving detection accuracy while maintaining system reliability.
Solution Approach 2:
The patent introduces acceleration data as an intermediary parameter to validate and supplement heart rate-based sleep state detection. When heart rate data shows outliers or unreliable patterns, the system uses acceleration metrics (body motion) as a mediator to cross-validate the sleep phase determination, ensuring continuous reliable operation even when primary sensor data is compromised.
2Reliability
If multiple sensors and data processing steps are used to improve accuracy, then detection reliability improves, but device complexity increases
Solution Approach 1:
The patent segments the sleep state detection process into distinct operational phases: data acquisition, outlier detection, data filtering, threshold comparison, and sleep phase determination. By dividing the complex processing into modular segments with clear boundaries, the system achieves high reliability through systematic processing while keeping each individual processing step manageable and computationally efficient.
Solution Approach 2:
The patent performs preliminary data processing by detecting and removing outliers from heart rate data before the actual sleep state detection occurs. This preliminary cleaning action prepares high-quality input data for subsequent analysis, ensuring that the main detection algorithm operates on reliable data without needing to handle异常情况, thereby improving overall reliability without adding significant complexity to the core detection logic.
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
The device effectively determines the light sleep phase and wakes the user at the optimal time, improving sleep stage detection accuracy and reliability by correcting heart rate data and using acceleration thresholds when necessary.
Implementation Method 1
a pulse wave sensor that detects a pulse wave of the user
Implementation Method 2
an acceleration sensor that detects body motion of the user
Data Source
AI summary
An electronic device includes a controller that acquires a plurality of first data and a plurality of second data different from the plurality of first data in a first period; sets a first threshold based on the acquired plurality of first data; sets a second threshold based on the acquired plurality of second data; and determines a sleep state of a user, based on determination data acquired in a second period different from the first period, and at least one threshold of the first threshold or the second threshold.