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Human pulse wave detection with consumer earphones and headphones

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Abstract

Dynamic earphones/headphones and microphones can detect sounds below the human audible frequency. Based on this principle, we propose a new method of human pulse measurement using consumer earphones and headphones. It is a simple signal separation-based method utilizing pressure changes inside the ear canal and around the tragus caused by heartbeats. As a result of feasibility evaluation using an electrocardiogram, the pulses derived by the earphone/headphone were highly feasible in terms of accurate peak-to-peak determination. Furthermore, we estimated the frequency characteristics of the audio devices at the frequency of interest, the center frequency of the heart rate (around 1.4 Hz), which enables us to reproduce the original, non-distorted pulse waveform. Although this is an entirely different methodology from photoplethysmography, it is promising because heart rate can be measured while listening to music.

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Data availability

The data supporting this study′s findings are available from the corresponding author, S.N., upon reasonable request.

References

  1. World Health Organization, The top 10 causes of death, “https://www.who.int/news-room/fact-sheets/detail/the-top-10-causes-of-death Accessed 12 June 2023.

  2. Ministry of Health, Labour and Welfare of Japan, Summary report of annual vital statistics of Japan (final data), https://www.mhlw.go.jp/english/database/db-hw/populate/dl/E03.pdf Accessed 12 June 2023.

  3. Rippe JM (2008) Lifestyle medicine: the health promoting power of daily habits and practices. Am J Lifestyle Med 12(6):499–512

    Article  Google Scholar 

  4. Fitbit Website, https://www.fitbit.com/global/us/home Accessed 12 June 2023

  5. Gorny AW, Liew SJ, Tan CS, Müller-Riemenschneider F (2017) Fitbit charge HR wireless heart rate monitor: validation study conducted under free-living conditions. JMIR Mhealth Uhealth 5(10):157

    Article  Google Scholar 

  6. Benedetto S, Caldato C, Bazzan E, Greenwood DC, Pensabene V, Actis P (2018) Assessment of the Fitbit charge 2 for monitoring heart rate. PLoS ONE 13(2):e0192691

    Article  Google Scholar 

  7. Benedetti D, Olcese U, Frumento P, Bazzani A, Bruno S, d’Ascanio P, Maestri M, Bonanni E, Faraguna U (2021) Heart rate detection by Fitbit ChargeHR™: a validation study versus portable polysomnography. J Sleep Res 30(6):e13346

    Article  Google Scholar 

  8. Shimmer3 GSR+ Website, https://shimmersensing.com/product/shimmer3-gsr-unit/ Accessed 12 June 2023

  9. NUL-217 Website, https://neulog.com/gsr/ Accessed 12 June 2023

  10. Lubitz SA, Faranesh AZ, Selvaggi C, Atlas SJ, McManus DD, Singer DE, Pagoto S, McConnell MV, Pantelopoulos A, Foulkes AS (2022) Detection of atrial fibrillation in a large population using wearable devices: the Fitbit heart study. Circulation 146(19):1415–1424

    Article  Google Scholar 

  11. Jiang F, Kobayashi T, Ichihashi T, Ito K, Nomura S (2019) The effect of citrus ginger aroma on heart rate and salivary cortisol level during sleep at home. IEEJ Trans Electr Electron Eng 14(4):623–629

    Article  Google Scholar 

  12. Amazfit PowerBuds Pro Website, https://www.amazfit.jp/products/amazfit-powerbuds-pro Accessed 12 June 2023

  13. Etiwy M, Akhrass Z, Gillinov L, Alashi A, Wang R, Blackburn G, Gillinov SM, Phelan D, Gillinov AM, Houghtaling PL, Javadikasgari H, Desai MY (2019) Accuracy of wearable heart rate monitors in cardiac rehabilitation. Cardiovasc Diagn Ther 9(3):262–271

    Article  Google Scholar 

  14. Boudreaux BD, Hebert EP, Hollander DB, Williams BM, Cormier CL, Naquin MR, Gillan WW, Gusew EE, Kraemer RR (2018) Validity of wearable activity monitors during cycling and resistance exercise. Med Sci Sports Exerc 50(3):624–633

    Article  Google Scholar 

  15. Navalta JW, Montes J, Bodell NG, Salatto RW, Manning JW, DeBeliso M (2020) Concurrent heart rate validity of wearable technology devices during trail running. PLoS ONE 15(8):e0238569

    Article  Google Scholar 

  16. Garmin Website, “https://www.garmin.com/en-US/” Accessed 12 June 2023

  17. Galaxy Watch5 Website, https://www.samsung.com/us/watches/galaxy-watch5/ Accessed 12 June 2023

  18. Acharya UR, Joseph KP, Kannathal N, Lim CM, Suri JS (2006) Heart rate variability: a review. Med Biol Eng Comput 44(12):1031–1051

    Article  Google Scholar 

  19. Yasuno Y (2008) Microphones using micro electro mechanical systems. J Acoust Soc Japan 64(11):661–666

    Google Scholar 

  20. Nomura S, Hanasaka Y, Ishiguro T, Ogawa H (2011) Human pulse wave measurement by MEMS electret condenser microphone. IEEJ Trans Electron Inf Syst 131(9):1553–1558

    Google Scholar 

  21. Sano Y, Kataoka Y, Ikuyama T, Wada M, Imano H, Kawamura K, Watanabe T, Nishida A, Osanai H (1985) Evaluation of peripheral circulation with accelerated plethysmography and its practical application. J Sci Labour 61(3):129–143

    Google Scholar 

  22. Voropai A, Sarana V (2022) A wearable heart rate monitoring system based on over-ear headphones. J Med Eng Technol 46(7):604–607

    Article  Google Scholar 

  23. Berntson GG, Bigger JT Jr, Eckberg DL, Grossman P, Kaufmann PG, Malik M, Nagaraja HN, Porges SW, Saul JP, Stone PH, van der Molen MW (1997) Heart rate variability: origins, methods, and interpretive caveats. Psychophysiology 34(6):623–648

    Article  Google Scholar 

  24. Wakabayashi N, Shimakawa H, Harada F (2022) Evaluation of biological signals measurable with wearable sensors for stress identification. Trans Inst Syst Control Inf Eng 35(9):217–227

    Google Scholar 

  25. Althaff Irfan CM, Nomura S, Yamagishi T, Kurosawa Y, Yajima K, Nakahira KT, Fukumura Y (2011) Utilization of bio-signals to understand the physiological states of e-learners and improve the learning contents. IEICE Trans Inf Syst 94(6):1235–1242

    Article  Google Scholar 

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Correspondence to Shusaku Nomura.

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This work was submitted and accepted for the Journal Track of the joint symposium of the 29th International Symposium on Artificial Life and Robotics, the 9th International Symposium on BioComplexity, and the 7th International Symposium on Swarm Behavior and Bio-Inspired Robotics (Beppu, Oita and Online, January 24–26, 2024).

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Yi, X., Herath, S.S., Ogawa, H. et al. Human pulse wave detection with consumer earphones and headphones. Artif Life Robotics 29, 22–28 (2024). https://doi.org/10.1007/s10015-023-00933-4

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