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We developed the algorithm to estimate sleep-wake during sleep period using a 3-axis acceleration wrist sensor for the purpose of self-management of sleep status in everyday life. The 3-axis acceleration data were transformed into combined acceleration time series, from which sleep-wake was estimated. The algorithm discriminated sleep from waking time with 91.8[87.4–95.3]% sensitivity and 55.5[40...
We examined if interactions with remote controlled plush media (stuffed animals) have different emotional impacts from those with video call applications. We compared autonomic reactions to interaction between them by the analyses of heart rate and heart rate variability.
This paper presents the performance of sleep stage classification by combination of actigraphic and heart rate signals. We studied 40,643 epochs (length 3 min) of polysomnographic data in 289 subjects. Body movement indices derived from actigraphic data and autonomic functional indices from heart rate variability were useful for discriminating between non-REM sleep and waking/REM sleep at 76.9% sensitivity...
Low-frequency-to-high-frequency ratio (LF/HF) of heart rate variability has been used as a maker of stress or sympathetic predominance in cardiac autonomic activity. Laboratory studies, however, indicate that LF/HF increases with standing and decreases with lying. We hypothesized that LF/HF in ambulatory monitoring is associated with the ratio of time in lying position during the monitoring (lying...
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