JACIII Vol.27 No.5 pp. 942-947
doi: 10.20965/jaciii.2023.p0942

Research Paper:

Can Sleep Apnea Be Detected from Human Pulse Waveform with Laplace Noise?

Itaru Kaneko* ORCID Icon, Le Trieu Phong** ORCID Icon, Keita Emura** ORCID Icon, and Emi Yuda*,† ORCID Icon

*Graduate School of Information Sciences, Tohoku University
6-3-09 Aramaki-Aza-Aoba, Aoba-ku, Sendai, Miyagi 980-8579, Japan

Corresponding author

**National Institute of Information and Communications Technology (NICT)
4-2-1 Nukui-Kitamachi, Koganei, Tokyo 184-8795, Japan

August 13, 2022
June 6, 2023
September 20, 2023
differential privacy, pulse wave, sleep apnea syndrome, Laplace noise

Differential privacy is a powerful technique that protects the privacy of individuals in a dataset by adding controlled randomness. With the increasing developments in smart sensors, the use of various biometric database is expanding. If privacy protections coexist with advanced use of the biometric database, wider utilization is expected. One of the promising approaches is to apply differential privacy to biometric information, which is attracting attention in use cases such as Google. By adding Laplace noise to biometric information, differential privacy can be added. Our aim is to focus on peak to peak interval of electrocardiogram. It is useful bio-information because it is possible to know not only heart disease but also various physical conditions such as exercise amount, activity amount, fatigue, sleep based on it. In this study, we demonstrated that differential privacy can be applied to obtain the sleep apnea index from PPIs with Laplace noise. The observed correlations were 0.96 to 0.99 for the corresponding PPIs with Laplace noise.

Correlation between CVHR calculated from PPI with Laplace noise and PPI

Correlation between CVHR calculated from PPI with Laplace noise and PPI

Cite this article as:
I. Kaneko, L. Phong, K. Emura, and E. Yuda, “Can Sleep Apnea Be Detected from Human Pulse Waveform with Laplace Noise?,” J. Adv. Comput. Intell. Intell. Inform., Vol.27 No.5, pp. 942-947, 2023.
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Last updated on Sep. 29, 2023