Derleme
Yıl 2017,
Cilt: 5 Sayı: 3, 1 - 12, 03.03.2017
Öz
Abstract
Sleep disorders are one of the era's most important diseases. Like any major disease, the quality of the diagnostic process directly affects the treatment process. With theprogress of technology, diagnostic methods are increasing and developing day by day. Sleep staging and respiratory scoring is vital for diagnose obstructive sleep apnea. Therefore, in the study, the sleep staging studies in the literature were examined and presented in tables. After that, there are suggestions for an ideal respiratory scoring. For acomplete diagnosis, practical, portable house hold use suitable systems have been examined. The aim of the study is to examine the portable devices developed for OSA diagnosis and to propose the system design which can be used in practice. The disadvantages of the systems developed for this purpose have been revealed, and then there commendations for the ideal system have been made.
Anahtar Kelimeler
Polysomnography Device Obstructive Sleep Apnea Portable System Sleep Staging Respiratory Scoring
Kaynakça
- Kaynakça 1.B. Yilmaz, M. H. Asyali, E. Arikan, S. Yetkin, and F. Ozgen, “Sle-ep stage and obstructive apneaic epoch classification using single-lead ECG.,” Biomed. Eng. Online, vol. 9, no. 1, p. 39, Jan. 2010.[ 2.H. Kaynak, Uyku Uyuyamamak mı Uyanamamak mı? Doğan Kitap,2008. 3.P. Respironics, Practical aspects of sleep diagnostic. PhilipsElectronics N.V, 2009. 4.R. JUNG and W. KUHLO, “NEUROPHYSIOLOGICAL STUDIESOF ABNORMAL NIGHT SLEEP AND THE PICKWICKIANSYNDROME.,” Prog. Brain Res., vol. 18, pp. 140–59, 1965. 5.C. Guilleminault, F. Eldridge, and W. C. Dement, “Insomnia, nar-colepsy, and sleep apneas.,” Bull. Physiopathol. Respir. (Nancy).,vol. 8, no. 5, pp. 1127–38. 6.T. Young, P. E. Peppard, and D. J. Gottlieb, “Epidemiology of obs-tructive sleep apnea: a population health perspective.,” Am. J. Res-pir. Crit. Care Med., vol. 165, no. 9, pp. 1217–39, May 2002. 7.T. I. Morgenthaler, V. Kagramanov, V. Hanak, and P. A. Decker,“Complex sleep apnea syndrome: is it a unique clinical syndrome?,”Sleep, vol. 29, no. 9, pp. 1203–9, Sep. 2006. 8.M. O. Mendez, A. M. Bianchi, M. Matteucci, S. Cerutti, and T. Pen-zel, “Sleep Apnea Screening by Autoregressive Models From a Sin-gle ECG Lead,” IEEE Trans. Biomed. Eng., vol. 56, no. 12, pp.2838–2850, Dec. 2009. 9.G. Angius and L. Raffo, “Cardiovascular disease and sleep apno-ea: A wearable device for PPG acquisition and research aims,” inComputing in Cardiology (CinC), 2012, pp. 513–516. 10.World Health Organization Regional Office for Europe EuropeanCentre for Environment and Health Bonn Office, “WHO technicalmeeting on sleep and health,” Bonn Germany, 2004. 11.R. Wolk, A. S. Gami, A. Garcia-Touchard, and V. K. Somers, “Sle-ep and Cardiovascular Disease,” Curr. Probl. Cardiol., vol. 30, no.12, pp. 625–662, 2005. 12.E. A. Iliescu et al., “Quality of sleep and health-related quality oflife in haemodialysis patients.,” Nephrol. Dial. Transplant, vol. 18,no. 1, pp. 126–32, Jan. 2003. 13.J. M. Rodrigues, M. H. Estevao, J. L. Malaquias, P. Santos, G. Gou-veia, and J. B. Simoes, “SleepAtHome - Portable Home Based Systemfor Pediatric Sleep Apnoea Diagnosis,” in 2007 IEEE Internatio-nal Conference on Portable Information Devices, 2007, pp. 1–4. 14.K. Šušmáková, “Human Sleep and Sleep EEG,” Meas. Sci. Rev.,vol. 4, no. 2, 2004. 15.E. F. Haponik, P. L. Smith, D. A. Meyers, and E. R. Bleecker, “Eva-luation of sleep-disordered breathing. Is polysomnography neces-sary?,” Am. J. Med., vol. 77, no. 4, pp. 671–7, Oct. 1984. 16.M. Drinnan, J. Allen, P. Langley, and A. Murray, “Detection of sle-ep apnoea from frequency analysis of heart rate variability,” in Com-puters in Cardiology 2000. Vol.27 (Cat. 00CH37163), 2000, pp.259–262. 17.J. V. Marcos, R. Hornero, D. Álvarez, F. del Campo, and C. 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Yıl 2017,
Cilt: 5 Sayı: 3, 1 - 12, 03.03.2017
Öz
Öz
Uyku bozukluğu çağın en önemli hastalıklarından biridir. Her önemli hastalık gibi teşhis sürecisin kalitesi, tedavi sürecini doğrudan etkilemektedir. Teknolojinin ilerlemesi ile birlikte teşhis yöntemleri gün geçtikçe artmakta ve gelişmektedir. Obstrüktif Uyku Apne teşhisi için uyku evreleme ve solunum skorlama hayati öneme sahiptir. Bu yüzden çalışmada, literatürde yapılan uyku evreleme çalışmaları incelenmiş ve tablolar halinde sunulmuştur. Ardında ideal bir solunum skorlama için önerilerde bulunulmuştur.Tam bir teşhis için pratik, taşınabilir ev kullanıma uygun sistemler incelenmiştir. Çalışmanın amacı, OSA teşhisi için geliştirilen taşınabilir cihazların incelenmesi ve pratikte kulanılabilecek sistem tasarımı için öneriler sunmaktır. Bu amaçla geliştirilen sistemlerin dezavantajları ortaya konmuş, ardından ideal bir sistem için önerilerde bulunulmuştur.
Anahtar Kelimeler
Polisomnografi Cihazı Obstrüktif Uyku Apne Taşınabilir sistem Uyku Evreleme Solunum Skorlama
Kaynakça
- Kaynakça 1.B. Yilmaz, M. H. Asyali, E. Arikan, S. Yetkin, and F. Ozgen, “Sle-ep stage and obstructive apneaic epoch classification using single-lead ECG.,” Biomed. Eng. Online, vol. 9, no. 1, p. 39, Jan. 2010.[ 2.H. Kaynak, Uyku Uyuyamamak mı Uyanamamak mı? Doğan Kitap,2008. 3.P. Respironics, Practical aspects of sleep diagnostic. PhilipsElectronics N.V, 2009. 4.R. JUNG and W. KUHLO, “NEUROPHYSIOLOGICAL STUDIESOF ABNORMAL NIGHT SLEEP AND THE PICKWICKIANSYNDROME.,” Prog. Brain Res., vol. 18, pp. 140–59, 1965. 5.C. Guilleminault, F. Eldridge, and W. C. Dement, “Insomnia, nar-colepsy, and sleep apneas.,” Bull. Physiopathol. Respir. (Nancy).,vol. 8, no. 5, pp. 1127–38. 6.T. Young, P. E. Peppard, and D. J. Gottlieb, “Epidemiology of obs-tructive sleep apnea: a population health perspective.,” Am. J. Res-pir. Crit. Care Med., vol. 165, no. 9, pp. 1217–39, May 2002. 7.T. I. Morgenthaler, V. Kagramanov, V. Hanak, and P. A. Decker,“Complex sleep apnea syndrome: is it a unique clinical syndrome?,”Sleep, vol. 29, no. 9, pp. 1203–9, Sep. 2006. 8.M. O. Mendez, A. M. Bianchi, M. Matteucci, S. Cerutti, and T. Pen-zel, “Sleep Apnea Screening by Autoregressive Models From a Sin-gle ECG Lead,” IEEE Trans. Biomed. Eng., vol. 56, no. 12, pp.2838–2850, Dec. 2009. 9.G. Angius and L. Raffo, “Cardiovascular disease and sleep apno-ea: A wearable device for PPG acquisition and research aims,” inComputing in Cardiology (CinC), 2012, pp. 513–516. 10.World Health Organization Regional Office for Europe EuropeanCentre for Environment and Health Bonn Office, “WHO technicalmeeting on sleep and health,” Bonn Germany, 2004. 11.R. Wolk, A. S. Gami, A. Garcia-Touchard, and V. K. Somers, “Sle-ep and Cardiovascular Disease,” Curr. Probl. Cardiol., vol. 30, no.12, pp. 625–662, 2005. 12.E. A. Iliescu et al., “Quality of sleep and health-related quality oflife in haemodialysis patients.,” Nephrol. Dial. Transplant, vol. 18,no. 1, pp. 126–32, Jan. 2003. 13.J. M. Rodrigues, M. H. Estevao, J. L. Malaquias, P. Santos, G. Gou-veia, and J. B. Simoes, “SleepAtHome - Portable Home Based Systemfor Pediatric Sleep Apnoea Diagnosis,” in 2007 IEEE Internatio-nal Conference on Portable Information Devices, 2007, pp. 1–4. 14.K. Šušmáková, “Human Sleep and Sleep EEG,” Meas. Sci. Rev.,vol. 4, no. 2, 2004. 15.E. F. Haponik, P. L. Smith, D. A. Meyers, and E. R. Bleecker, “Eva-luation of sleep-disordered breathing. Is polysomnography neces-sary?,” Am. J. Med., vol. 77, no. 4, pp. 671–7, Oct. 1984. 16.M. Drinnan, J. Allen, P. Langley, and A. Murray, “Detection of sle-ep apnoea from frequency analysis of heart rate variability,” in Com-puters in Cardiology 2000. Vol.27 (Cat. 00CH37163), 2000, pp.259–262. 17.J. V. Marcos, R. Hornero, D. Álvarez, F. del Campo, and C. Zamar-rón, “Assessment of four statistical pattern recognition techniquesto assist in obstructive sleep apnoea diagnosis from nocturnal oxi-metry,” Med. Eng. Phys., vol. 31, no. 8, pp. 971–978, Oct. 2009. 18.P. Varady, T. Micsik, S. Benedek, and Z. Benyo, “A novel method forthe detection of apnea and hypopnea events in respiration signals,”IEEE Trans. Biomed. Eng., vol. 49, no. 9, pp. 936–942, Sep. 2002. 19.C. C. R. Sady, U. S. Freitas, A. Portmann, J.-F. Muir, C. Letellier,and L. A. Aguirre, “Automatic sleep staging from ventilator signalsin non-invasive ventilation,” Comput. Biol. Med., vol. 43, no. 7, pp.833–839, Aug. 2013. 20.M. Chan, D. Estève, J.-Y. Fourniols, C. Escriba, and E. Campo,“Smart wearable systems: Current status and future challenges,”Artif. Intell. Med., vol. 56, no. 3, pp. 137–156, Nov. 2012. 21.A. Kales and A. Rechtschaffen, A Manual of Standardized Termi-nology Techniques and Scoring System for Sleep Stages of HumanSubjects. Los Angeles: Bethesda, Md., U. S. 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Toplam 1 adet kaynakça vardır.
Ayrıntılar
| Birincil Dil | Türkçe |
|---|---|
| Bölüm | Makaleler 1 |
| Yazarlar | |
| Yayımlanma Tarihi | 3 Mart 2017 |
| Yayımlandığı Sayı | Yıl 2017 Cilt: 5 Sayı: 3 |
