Shirakami (M2) presented his research in IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) 2021 held online on June 28-30, 2021 (Presentation date: 30th).

Shirakami’s presentation is about the extraction of heart rate variability (HRV) using commodity Wi-Fi devices. The variation of each heartbeat, or heart rate variability, can be used for stress assessment and emotion recognition. Previous heart rate estimation methods using commodity Wi-Fi devices can estimate the heart rate of the subject near the devices without contact by analyzing data called channel state information (CSI). However, only the average heart rate can be estimated because Fast Fourier Transform (FFT) over a long time window is required. In this study, we proposed a method to estimate the HRV by combining signal selection based on the standard deviation of the interbeat intervals and signal processing for noise reduction. The experimental results show that the HRV can be extracted for some antenna and subject positions for the first time.

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