Personal wearable monitor of the heart rate variability

• Autorzy: Augustyniak P.
• Języki publikacji: EN

Abstrakty

EN

The aim of the paper is to present a prototype of wearable heart rate variability (HRV) monitor. The home care surveillance and sleep assessment system is partly embedded into a smart home infrastructure and partly worn by a supervised person. The prototype wearable device is designed to acquire and process the electrocardiogram and to send reports accordingly to a programmed schedule. The recording, processing and transmission modes are programmable, what allows the recorder to respond immediately in case of predefined thresholds excess, while the regular reporting is organized in delayed packets exchanged during a short transmission session. This approach significantly reduces the contribution to the total power consumption from the communication module. The prototype was based on the PXA-270 development kit, but due to very low power consumption (0,5 mW) the migration to a more compact system is considered.

Słowa kluczowe

EN

sleep monitoring; assisted living; wireless body area network; heart rate variability

• Wydawca: Uniwersytet Jagielloński - Collegium Medicum ; Index Copernicus Sp. z o.o.
• Czasopismo: Bio-Algorithms and Med-Systems
• Rocznik: 2011
• Tom: Vol. 7, no. 1
• Strony: 5--9
• Opis fizyczny: Bibliogr. 7 poz., rys., tab.

Twórcy

autor

Augustyniak P.

• Institute of Automatics, AGH University of Science and Technology, Kraków

Bibliografia

• 1. Malik M., Camm A.J. (2004): Dynamic electrocardiography. Armonk, NY, Blackwell Futura.
• 2. Mironova T.F., Mironov V.A., Antyufiev V.F. (2009): Analysis of heart rate variability at sinoatrial dysfunction in patients with coronary disease. Electrocardiology 2009, pp. 211-220.
• 3. Task Force of the ESC/ASPE (1996): Heart rate variability: Standards of measurement, physiological interpretation, and clinical use. European Heart Journal, 17, pp. 354-381.
• 4. Tkacz E. (1996): Nowe możliwości diagnostyczne analizy zmienności rytmu serca (HRV). Institute of Biocybernetics and Biomedical Engineering, Polish Academy of Science, Warszawa.
• 5. Augustyniak P. (1997): The Use of Shape Factors for Heart Beats Classification in Holter Recordings". From the conference Computers in Medicine, Zakopane, 2-6 May 1997, pp. 47-52.
• 6. Augustyniak P. (1999): Recovering The Precise Heart Rate From Sparsely Sampled Electrocardiograms. From the conference Computers in Medicine, Łódź, 23-25 September 1999, pp. 59-65.
• 7. Moody G. (1993): MIT/BIH arrhythmia database distribution. Cambridge, MA, MIT Division of Health Science and Technology.