Pulse Wave Sleep State Detection for Dynamic Alarm Control
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Solution Overview
Problem
Existing devices struggle to accurately determine a user's sleep state and awaken state for dynamic alarm control, as body motion sensors lack precision and brain wave measurement methods are complex and not suitable for home use.
Innovation Solution
A biological information processing system that uses pulse wave information to determine a user's sleep state, allowing for precise control of alarm notifications based on REM or non-REM sleep states, and adjusts notification modes accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If body motion detection sensor is used to detect user state, then device complexity is reduced, but measurement precision of sleep state deteriorates
Solution Approach 1:
The patent replaces body motion detection (mechanical sensing) with pulse wave detection (physiological sensing). Instead of using acceleration sensors to detect movement, the system uses optical sensors to detect pulse waves through photoplethysmography, enabling accurate sleep state determination without complex mechanical detection systems.
Solution Approach 2:
The patent changes the detection parameter from body motion (acceleration, displacement) to pulse wave characteristics (heart rate, pulse interval, waveform shape). By monitoring changes in pulse wave parameters during sleep, the system can accurately determine sleep stages and awakening states without requiring complex motion detection hardware.
2Measurement precision
If brain wave measurement method is used to determine sleep state, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent substitutes brain wave measurement (electroencephalography requiring multiple electrodes and complex processing) with pulse wave measurement (photoplethysmography using simple optical sensors). This replacement maintains measurement precision for sleep state determination while dramatically reducing device complexity and making it suitable for home use.
Solution Approach 2:
The patent uses pulse wave signals as a proxy or copy for brain wave activity. Since pulse wave characteristics change in correlation with sleep stages and brain activity patterns, the system can infer sleep state from pulse waves without directly measuring brain waves, simplifying the device while maintaining accuracy.
3Ease of operation
If body motion sensor is used to detect user state, then ease of operation is improved, but reliability of sleep state determination deteriorates
Solution Approach 1:
The patent replaces mechanical body motion sensing with physiological pulse wave sensing, improving reliability. Pulse waves provide direct information about the user's internal state (sleep, awakening, sleep stages) rather than just external movement, making the sleep state determination more reliable while keeping the device easy to operate.
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
Enables accurate determination of sleep states and appropriate alarm control, improving user experience by ensuring timely and gentle wake-ups.
Implementation Method 1
a pulse wave information acquisition unit that acquires pulse wave information of a user
Data Source
AI summary
A biological information processing system includes a pulse wave information acquisition unit that acquires pulse wave information of a user, and a processing unit that determines a sleep state of the user on the basis of the pulse wave information and instructs an alarm control unit to perform an alarm notification based on a notification mode according to the sleep state.