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Digital analysis methods of wheezes in asthma
Języki publikacji
Abstrakty
Systemy e-zdrowie są bardzo użytecznym rozwiązaniem w medycynie. Ich główną zaletą jest redukcja potrzeby leczenia szpitalnego oraz spadek liczby śmiertelności. W artykule przedstawiono przegląd algorytmów detekcji świstów w systemach monitoringu astmy. Zaprezentowano rownież propozycję nowego rozwiązania.
The systems of e-health are powerful tools in medical domain. The main advantage of those systems is reducing the requirement of hospital care and the number of mortalities. This article is a review of wheeze breath detection algorithms in asthma monitoring techniques. The proposition of new solution of wheezes detection system is presented as well.
Wydawca
Rocznik
Tom
Strony
65--68
Opis fizyczny
Bibliogr. 15 poz.
Twórcy
autor
- Akademia Górniczo-Hutnicza, Kraków, Katedra Telekomunikacji
Bibliografia
- [1] Clark R. A., S. C. Inglis, F. A. McAlister, J. G. F. Cleland, S. Stewart: Telemonitoring or structured telephone suport programmes for patients with chronic heart failure: systematic review and metaanalysis. BMJ, (2007).
- [2] Postolache O., P. Girao, M. Dias Pereira, G. Ferraria, N. Barroso, G. Postolache: Indoor Monitoring oj Respiratory Distress Triggering Factor Using a Wireles Sensing Network and a Smart Phone. International Instrumentation and Measurement Technology Conference Singapore (2009).
- [3] Shenoy N., H. Nazeran: A PDA-based Network for Telemonitoring Asthma Triggering Gases In the El Paso School Districts of the US-Mexico Border region. IEEE Engineering in Medicine and Biology 27th Annual Conference Shanghai, China, September 1-4, (2005) 5186-5189.
- [4] Seto E. Y. W., A. Giani, V. Shiai, C. Wang, P. Van, A. Y. Yang, M. Jerrett, R. Bajcsy: A Wireless Body Sensor Network for the Prevention and Management of Asthma. IEEE Symposium on Industrial Embedded Systems (2009) 120-123.
- [5] Finkelstein J., R. H. Friedman: Home Asthma Telemonitoring (HAT) System" IEEE (2000) 103-104.
- [6] Gobbi A., I. Milesi, L. Govoni, A. Pedotti, R. L. Dellaca: A new telemedicine system for the home monitoring of lung function in patients with obstructive respiratory diseases. International Conference on eHealth, Telemedicine, and Social Medicine (2009) 119-122.
- [7] Pasterkamp H., Kraman S. S., Wodicka G. R.: Advances Beyond the Stethoscope. Am J Respir Grit Care Med., 156(3 Pt 1), pp. 974-987, September 1997.
- [8] Sovijarvi A. R. A., Dalmasso F., Vanderschoot J., Malberg L. P., Righini G., Stoneman S. A. T.: Definition of Terms for Applications of Respiratory Sounds. Eur. Respir. Rev., vol.10, no. 77, pp. 597-610, December 2000.
- [9] Sen I.: A Multi-channel Device for Respiratory Sound Data Acquisition and Transient Detection. M.S. Thesis, Boazii University, 2005.
- [10] Otsu N.: A Threshold Selection Method from Gray-level Histograms", IEEE Transactions on Systems, Man and Cybernetics, vol. 9, no. 1, January 1979.
- [11] Aydore S.; Sen I.; Kahya Y. P.; Mihcak M. K.: Classification of respiratory signals by linear analysis. Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE Publication Year: 2009, Page(s): 617-2620.
- [12] Jianmin Zhang; Wee Ser; Jufeng Yu; Zhang, T. T.: A Novel Wheeze Detection Method for Wearable Monitoring Systems. Intelligent Ubiquitous Computing and Education, 2009 International Symposium on Publication Year: 2009, Page(s): 331-334.
- [13] Jin, Feng; Sattar, Farook; Goh, Daniel Y. T.: Automatic wheeze detection using histograms of sample entropy. Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE Publication Year: 2008, Page(s): 1890-1893.
- [14] www.rale.ca
- [15] www.iip.net.pl
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BWAW-0006-0016