A.Yu. Glazova - Post-graduate Student, Professor assistant, Department of Biotechnical Systems, Saint-Petersburg Electrotechnical University «LETI» n.a. V.I. Ulyanov (Lenin). E-mail: anna-glazova777@yandex.ru
Y.G. Bibicheva - Post-graduate Student, Research Engineer, Department of Biotechnical Systems, Saint-Petersburg Electrotechnical University «LETI» n.a. V.I. Ulyanov (Lenin). E-mail: y.bibicheva@inbox.ru r> Z.M. Yuldashev - Dr.Sc. (Eng.), Professor, Head of the Department of Biotechnical Systems, Saint-Petersburg Electrotechnical University «LETI» n.a. V.I. Ulyanov (Lenin). E-mail: yuld@mail.ru r> M.A. Pokhaznikova - Dr.Sc. (Med.), Associate Professor, Department of Family Medicine, North-Western State Medical University n. a. I.I. Mechnikov (St. Petersburg) . E-mail: pokmar@mail.ru

The purpose of the study is to develop the system for the remote monitoring of COPD patients and early detection of coming exacerbation. Technology for monitoring patients at home and the generalized structure of the system are proposed. Diagnostic procedure for regular patient examination is divided into three stages: preparation of required diagnostic information by the patient, the automatic processing of the diagnostic parameters on a remote server, communication with the patient's medical coordinator and / or the attending physician in case of potentially dangerous changes in the symptoms. Diagnostic parameters, required for monitoring patients' health and the prevention of exacerbations, are analyzed, qualitative and quantitative characteristics are marked out. Automatic evaluation methods are developed: threshold-analysis using adaptive individual rates, trend-analysis, sorting of patients according to a risk of coming exacerbation. Some aspects of the practical system implementation are also given. Specially developed on-line service organizes a unified information space for the communication between patients and health professionals. At the logical level of the system all users are divided into domains, each of which includes a group of patients, the medical coordinator and the attending physician. The core of the on-line system is the application server which manages the data in each domain, analyzes and processes it according to the laid-in software algorithms. The integrity and confidentiality of patient personal information are provided both at the architectural and at the program levels.

 

1. Glazova A.Ju. Metody' rannej diagnostiki obostrenij xronicheskoj obstruktivnoj bolezni legkix v sistemax domashnego monitoringa: sushhestvuyushhie resheniya i novy'e perspektivny'e napravleniya // Sb. materialov nauchno-prakt. konf. molody'x ucheny'x i speczialistov «Translyaczionnaya mediczina: ot teorii k praktike». 24 aprelya 2013 g. SPb. 2013. S. 39 - 41.
2. E'lektronny'j resurs udalennogo dostupa: Global Strategy for Diagnosis, Management, and Prevention of COPD, Global Initiative for Chronic Obstructive Lung Disease (GOLD) 2013. URL: http://www.goldcopd.org/ (data obrashheniya 09.09.2013).
3. Plany' vedeniya bol'ny'x / pod red. O. Ju. At'kova, E. I. Polubenczevoj.  M.: GE'OTAR-Media. 2011. 544s.
4. Stockley R. et al. Phase II study of a neutrophil elastase inhibitor (AZD9668) in patients with bronchiectasis // Respiratory Medicine. 2013. V. 107. № 4. P. 524 - 533.
5. Jensen M. H. et al. Moving prediction of exacerbation in chronic obstructive pulmonary disease for patients in telecare // Journal of Telemedicine and Telecare. 2012. № 18. P. 99 - 103.  
6. Redmond S. J. et al. Piecewise-Linear Trend Detection in Longitudinal Physiological Measurements // Conf. Proc. IEEE Eng. Med. Biol. Soc. 2009. P. 3413 - 3416.