Generate QR code
Open Access
Subscription Access
The concept of a new generation of electrocardiogram simulator
https://doi.org/10.32446/0368-1025it.2018-59-63
Abstract
The article is devoted to the issues of conceptual developing the new generation of electrocardiogram imitators. The mathematical model of imitating ECG signal considering the variability of biosignal morphology, the presence of various distortions and artefacts, the heart rate variability and respiratory modulation of ECG was suggested. The flow diagram of the ECG imitator was designed.
About the Author
A. A. Fedotov
Samara National Research University (Samara University)
Russian Federation
Russian Federation
References
1. Рангайян Р. М. Анализ биомедицинских сигналов. Практический подход / Пер. с англ. Под ред. А. П. Немирко. М.: ФИЗМАТЛИТ, 2007.
2. Федотов А. А., Акулов С. А. Математическое моделирование и анализ погрешностей измерительных преобразователей биомедицинских сигналов. М.: ФИЗМАТЛИТ, 2013.
3. Р 50.2.009-2011. Государственная система обеспечения единства измерений. Электрокардиографы, электрокардиоскопы и электрокардиоанализаторы. Методика поверки. М.: Ростехрегулирование, 2011.
4. ГОСТ 19687-94. Приборы для измерения биоэлектрических потенциалов сердца. Общие технические требования и методы испытаний.
5. McSharry P. E., McSharry P. E., Clifford G. D., Tarassenko L., Smith L. A. A dynamical model for generating synthetic electrocardiogram signals // IEEE Trans. Biomedical Engineering. 2003. V. 50. No. 3. P. 289-295. DOI: 10.1109/TBME.2003.808805.
6. Standards of measurement, physiological interpretation and clinical use Task Force of the European Society of Cardiology and North American Society of Pacing and Electrophysiology. Heart rate variability // Circulation. 1996. V. 93. P. 1043-1065.
7. База данных Массачусетского технологического университета Physionet [Электрон. ресурс]: http://physionet.org (дата обращения: 20.05.2018).
8. Boyle J., Bidargaddi N., Sarela A., Karunanithi M. Automatic Detection of Respiration Rate From Ambulatory Single-Lead ECG // IEEE Trans. Information Technology in Biomedicine. 2009. V. 16. Iss. 6. P. 890-896.
9. Friesen G. M., Friesen G.M., Jannett T.C., Jadallah M.A., Yates S.L., Quint S.R., Nagle H.T. A comparison of the noise sensitivity of nine QRS detection algorithms // IEEE Trans. Biomedical Engineering. 1990. V. 27. No. 1. P. 85-98. DOI: 10.1109/10.43620.
10. Dev R. Different Techniques to Remove Baseline Wander from ECG Signal: A Review // Int. J. Electrical, Electronics and Communication Engineering. 2012. V. 2. No. 7. P. 532-537.
11. Han H. Development of real-time motion artifact reduction algorithm for a wearable photoplethysmography // Proc. 29th Annual International Conference of the IEEE EMBS. 2007. P. 1539-1541. DOI: 10.1109/IEMBS.2007.4352596.
Review
For citations:
Fedotov A.A. The concept of a new generation of electrocardiogram simulator. Izmeritel`naya Tekhnika. 2018;(12):59-63. (In Russ.) https://doi.org/10.32446/0368-1025it.2018-59-63
Views:
96
Email this article 