SNORE DETECTION METHOD, SNORE DETECTION DEVICE, AND BED

To provide a snore detection method for more accurately detecting a snore from a biological vibration in order to grasp a state during sleep.SOLUTION: A snore detection method acquires time series data on a biological vibration signal based on a biological vibration generated by a living body; subje...

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Hauptverfasser: KANEGAE MASAMI, MIZUKAMI YOSHIHIKO, NONOMURA TAKUTO, NIIZEKI KYUICHI
Format: Patent
Sprache:eng ; jpn
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Zusammenfassung:To provide a snore detection method for more accurately detecting a snore from a biological vibration in order to grasp a state during sleep.SOLUTION: A snore detection method acquires time series data on a biological vibration signal based on a biological vibration generated by a living body; subjects the biological vibration signal to wavelet conversion; obtains a wavelet waveform indicating power of each frequency component in each time; obtains time series data on energy obtained by integrating power in a predetermined frequency band in the wavelet waveform; and determines that a snore is generated when energy is a snore generation threshold Eth or larger continuously for a duration threshold Tth or longer.SELECTED DRAWING: Figure 1 【課題】 睡眠中の状態を把握するために、生体振動からより正確に鼾を検出できる鼾検出方法を提供する。【解決手段】 生体が発する生体振動に基づく生体振動信号の時系列データを取得し、生体振動信号をウェーブレット変換し、各時間における各周波数成分のパワーを示すウェーブレット波形を求め、ウェーブレット波形における所定の周波数帯域のパワーを積分したエネルギーの時系列データを求め、エネルギーが、持続時間の閾値Tth以上連続して鼾発生の閾値Eth以上だった場合に鼾が発生したと判定する。【選択図】 図1