Abstract
Sleep is an important phase of a person’s life, to which a significant percentage of the day is dedicated. Sleep is a key moment of the day that significantly affects the well-being of our body, so a reduction in sleep often determines serious repercussions on the quality of life and health in general. It is therefore of interest to proceed with an assessment of the physiological parameters of a person during the hours dedicated to sleep. The present work illustrates an experimental activity of extraction of vital parameters of a subject during his stay in bed, based on the elaboration of the BallistoCardioGraphic (BCG) signal. It is shown how the values of heart and respiratory rate can be obtained, and how useful information can be obtained to investigate sleep disorders such as insomnia, sleep apnoea, bruxism, restless leg syndrome, night epilepsy, sleepwalking and narcolepsy.
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References
Sami N (2016) Nocturnal sleep quality and quantity analysis with ballistocardiography. Master’s thesis. Aalto University
Sharma RA et al (2018) Obstructive sleep apnea severity affects amyloid burden in cognitively normal elderly. A longitudinal study. Am J Respir Criti Med 197(7)
Osorio RS et al (2015) Sleep-disordered breathing advances cognitive decline in the elderly. Neurology 84(19). https://doi.org/10.1212/WNL.0000000000001566
Merihein Ulf—BCG Measurement in beds MURATA whitepaper
Nitesh MBM (2016) Data processing of ballistocardiogram signal using adaptive filter. Int J Innov Res Electr Electron Instrumen Control Eng 4(5). https://doi.org/10.17148/IJIREEICE.2016.4563
Kurumaddali B, Marimuthu G, Venkatesh.S M, Suresh R, Syam BS, Suresh V (2014) Cardiac output measurement using ballistocardiogram. Goh J (ed) The 15th international conference on biomedical engineering. IFMBE Proceedings vol 43, p 861
Omer TI, Pierre-Francois M, Kwang-Suk P, Marco Di R, Mozziyar E, Kouhyar T, Ramon C, John Z, Jens T, Irina F, Kim PG (2015) Ballistocardiography and seismocardiography: a review of recent advances. IEEE J Biomed Health Inform 19(4):1414–1427. https://doi.org/10.1109/JBHI.2014.2361732
Shao D, Tsow F, Liu C, Yang Y, Tao N (2016) Simultaneous monitoring of ballistocardiogram and photoplethysmogram using a Camera. IEEE Trans Biomed Eng 64(5). https://doi.org/10.1109/TBME.2016.2585109
Lydon K, Su BY, Rosales L, Enayati M, Ho KC, Rantz M, Skubic M (2015) Robust heartbeat detection from in-home ballistocardiogram signals of older adults using a bed sensor. Conf Proc IEEE Eng Med Biol Soc 2015. https://doi.org/10.1109/EMBC.2015.7320047
Manjula BM, Sharma C (2016) Ballistocardiography signal filtering using adaptive least mean square algorithm. In: Proceedings of IEEE international conference on recent trends in electronics, information & communication technology (RTEICT)
Almothana A, Frederico L Ulrich M (2019) Bed-embedded heart and respiration rates detection by longitudinal ballistocardiography and pattern recognition. Sensors 19:1451. https://doi.org/10.3390/s19061451
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Gambi, E., Senigagliesi, L., Creato, E., Ricciuti, M. (2021). “In Bed” BCG Signal Analysis. In: Monteriù, A., Freddi, A., Longhi, S. (eds) Ambient Assisted Living. ForItAAL 2019. Lecture Notes in Electrical Engineering, vol 725. Springer, Cham. https://doi.org/10.1007/978-3-030-63107-9_3
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DOI: https://doi.org/10.1007/978-3-030-63107-9_3
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