Sleep State Determination Using Pulse Interval Data Filtering
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Solution Overview
Problem
Conventional biotic sleep state determining apparatuses face low determination accuracy due to the influence of body movements and pulse wave abnormalities such as arrhythmia or apnea, when using pulse wave data from hand blood vessel fluctuations.
Innovation Solution
A biotic sleep state determining apparatus that includes a body movement determining unit to identify significant body movements and a pulse interval data processor to remove corresponding pulse interval data, using acceleration sensors or mat sensors, and processes the data to isolate autonomic nerve indexes for accurate sleep state determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If pulse wave data from hand blood vessel fluctuations is used for sleep state determination, then the apparatus can determine sleep state using simple and handy measurement, but the determination accuracy deteriorates due to influence of body movements and pulse wave abnormalities
Solution Approach 1:
The invention extracts and removes pulse interval data that corresponds to body movement periods from the measurement data series. By identifying time periods where body movement occurs and excluding the corresponding pulse interval data from analysis, the system eliminates contaminated data points while retaining valid data for accurate sleep state determination based on autonomic nerve indexes.
2Device complexity
If all pulse interval data is used for sleep state determination, then the data processing is simple, but the determination accuracy deteriorates due to inclusion of data measured during body movements and pulse wave abnormalities
Solution Approach 1:
The system performs preliminary identification of body movement periods before processing pulse interval data for sleep state determination. By detecting body movements in advance and marking the corresponding time periods, the system prepares the data in advance for selective exclusion, ensuring that only clean, uncontaminated pulse interval data is used in the subsequent autonomic nerve index calculation.
3Quantity of substance
If pulse interval data measured during body movement is included in analysis, then the sample size is larger, but the reliability of sleep state determination deteriorates due to contamination from movement artifacts
Solution Approach 1:
The invention converts the potentially harmful effect of body movements into a useful filtering mechanism. By using body movement detection to identify and exclude contaminated data periods, the system transforms the problem of movement artifacts into a benefit: the ability to automatically distinguish and remove invalid data points, thereby improving the overall reliability of sleep state determination from the remaining clean data.
Data Source
AI summary
A biotic sleep state determining apparatus that determines a sleep state of a subject based on a series of pulse interval data that indicate a time interval of one cycle of a pulse wave of the subject, and on body movement data that indicates a body movement of the subject, the apparatus includes a body movement determining unit that determines that the body movement occurs if a fluctuation amount of the body movement data is greater than a first predetermined threshold, a pulse interval data processor that processes the series of pulse interval data after removing pulse interval data measured in parallel with the body movement data from the series of pulse interval data, if the body movement determining unit determines that the body movement occurs, and a sleep state determining unit that determines the sleep state based on autonomic nerve indexes acquired from the series of pulse interval data processed by the pulse interval data processor.