A Detector of Sleep Disorders for Using at Home

• Autorzy: Przystup P. , Bujnowski A. , Rumiński J. , Wtorek J.
• Języki publikacji: EN

Abstrakty

EN

Obstructive sleep apnea usually requires all-night examination in a specialized clinic, under the supervision of a medical staff. Because of those requirements it is an expensive and a non-widely utilized test. Moving the examination procedure to patients’ home with automatic analysis algorithms involved will decrease the costs and make it available for larger group of patients. The developed device allows all-night recordings of the following biosignals: three channels ECG, thoracic impedance (respiration), snoring sounds and larynx vibrations. Additional information, like patient’s body position changes and electrodes’ attachment quality are estimated as well. The reproducible and high quality signals are obtained using the developed and unobtrusive device.

Słowa kluczowe

EN

ECG; larynx vibration; sleep apnea; snoring sound; thoracic impedance

• Wydawca: Instytut Łączności - Państwowy Instytut Badawczy
• Czasopismo: Journal of Telecommunications and Information Technology
• Rocznik: 2014
• Tom: nr 2
• Strony: 70--78
• Opis fizyczny: Bibliogr. 20 poz., rys., tab.

Twórcy

autor

Przystup P.

• Department of Biomedical Engineering, Gdańsk University of Technology, Gdańsk, Poland

autor

Bujnowski A.

• Department of Biomedical Engineering, Gdańsk University of Technology, Gdańsk, Poland

autor

Rumiński J.

• Department of Biomedical Engineering, Gdańsk University of Technology, Gdańsk, Poland

autor

Wtorek J.

• Department of Biomedical Engineering, Gdańsk University of Technology, Gdańsk, Poland

Bibliografia

• [1] K. Šušmáková, “Human sleep and sleep EEG”, Measur. Sci. Rev., vol. 4, no. 2, pp. 59–74, 2004.
• [2] P. Corkum, R. Tannock, H. Moldofsky, S. Hogg-Johnson, and T. Humphries, “Actigraphy and parental ratings of sleep in children with Attention-Deficit/Hyperactivity Disorder (ADHD)”, Sleep, vol. 24, no. 3, pp. 303–312, 2001.
• [3] The International Classification of Sleep Disorders, Revised, Diagnostic and Coding Manual, AASM, 2001.
• [4] S. Ram, H. Seirawan, S. Kumar, and G. Clark, “Prevalence and impact of sleep disorders and sleep habits in the United States”, Sleep Breath, vol. 14, no. 1, pp. 63–70, 2010.
• [5] B. Sivertsen et al., “A comparison of actigraphy and polysomnography in older adults treated for chronic primary insomnia”, Sleep, vol. 29, no. 10, pp. 1353–1358, 2006.
• [6] A. Bar et al., “Evaluation of a portable device based on peripheral arterial tone for unattended home sleep studies”, Chest, vol. 123, pp. 695–703, 2003.
• [7] A. Sadeh, “The role and validity of actigraphy in sleep medicine: an update”, Sleep Med. Rev., vol. 15, pp. 259–267, 2011.
• [8] L. Almazaydeh, K. Elleithy, and M. Faezipour, “Obstructive sleep apnea detection using SVM-based classification of ECG signal features”, in Proc. 34th IEEE Ann. Int. Conf. Engin. Med. Biol. Soc. IEEE EMBS 2012, San Diego, CA, USA, 2012, pp. 4938–4941.
• [9] N. Collop et al., “Obstructive sleep apnea devices for out-of-center (OOC) testing: technology evaluation”, J. Clin. Sleep Med., vol. 15, pp. 531–548, 2011.
• [10] N. Netzer, A. H. Eliasson, C. Netzer, and D. A. Kristo, “Overnight pulse oximetry for sleep-disordered breathing in adults – A review”, Chest, vol. 120, pp. 625–633, 2001.
• [11] P. Przystup, A. Bujnowski, and J. Wtorek, “Projekt i implementacja wielokanałowego detektora bezdechu sennego (Project and implementation of multisensor sleep apnea detector)”, Krajowe Sympozjum Telekomunikacji i Teleinformatyki (National Symposium of Telecommunication and Teleinformatics) KSTiT 2013, Gdańsk, Poland, 2013 (in Polish).
• [12] Y. Sun and J. K. Fidler, “Design of Pi impedance matching networks”, in Proc. IEEE Int. Symp. Circ. Sys. ISCAS 1994, London, England, 1994, vol. 5, pp. 5–8.
• [13] Association for the Advancement of Medical Instrumentation AAMI, ANSI/AAMI EC13:2002 Cardiac monitors, heart rate meters, and alarms, 2002.
• [14] M. V. Pitzalis et al., “Effect of respiratory rate on the relationships between RR interval and systolic blood pressure fluctuations: a frequency-dependent phenomenon”, Cardiovascular Res., pp. 332–339, 1998.
• [15] P. Przystup, A. Polinski, and J. Wtorek, “The impact of electrodes configuration and measurement parameters on EDR signal”, in Proc. XVIII Nat. Conf. of Biocybernetics and Biomedical Eng. KKBiIB 2013, Gdańsk, Poland, 2013 (in Polish).
• [16] J. Wtorek, Techniki Elektroimpedancyjne w Medycynie (Electrical Impedance Technique in Medicine). Gdańsk: Publishing Office of Gdańsk University of Technology, 2003 (in Polish).
• [17] D. B. Geselowitz, “An application of electrocardiographic lead theory to impedance plethysmography”, IEEE Trans. Biomed. Engin., vol. 18, pp. 38–41, 1971.
• [18] J. Sola-Soler, R. Jane, J. Fiz, and J. Morera, “Automatic classification of subjects with and without Sleep Apnea through snoring analysis”, in Proc. 29th Ann. Int. Conf. IEEE Engin. Med. Biol. Soc. EMBC 2007, Lyon, France, 2007, pp. 6093–6096.
• [19] C. Bucklin, M. Das, and S. Luo, “An inexpensive accelerometerbased sleep-apnea screening technique”, in Proc. IEEE Nat. Aerosp. Electron. Conf. NAECON 2010, Dayton, OH, USA, 2010, pp. 396–399.
• [20] P. Przystup, A. Bujnowski, J. Ruminski, and J. Wtorek, “A multisensor detector of a sleep apnea for using at home”, in Proc. 6th Int. Conf. Human Sys. Interaction HSI’2013, Sopot, Poland, 2013, pp. 513–517.