ISSN 1812-7231 Klin.inform.telemed. Volume 11, Issue 12, 2015, Pages 63–68
O. Antonchyk, A. Jadooei, V. Shulgin
National Aerospace University named after N. Ye. Zhukovsky, Kharkiv, Ukraine
Algorithm of cuffless blood pressure estimation based on maximum likelihood method
Introduction. Continuous monitoring of blood pressure (BP) is one of the most essential problems in preventive medicine. Its implementation is complicated since there are no simple and comfortable for patient methods of continuous BP monitoring.
The object of the study is to develop an algorithm and assess the accuracy of indirect cuffless BP measurement based on joint processing of different functional characteristics of human cardiovascular system.
Formulation and solution of the problem. Using relations of different characteristics of human cardiovascular system an algorithms of systolic and diastolic BP estimation by measuring pulse transit time (PTT) and heart rate (HR) based on maximum likelihood method have been developed.
Results. Performed series of experiments showed that developed algorithms were efficient and accurate.
Conclusion. The feasibility of continuous cuffless BP measurement based on joint processing of such characteristics of human cardiovascular system as PTT and HR is shown. An algorithm for BP measurement based on maximum likelihood method with accuracy that satisfies BHS and ANSI/AAMI requirements have been developed.
Cuffless BP measurement, Pulse transit time, PTT, Electrocardiogram, ECG, Maximum likelihood estimation, MLE
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Ukrainian Association for Computer Medicine
Department of Clinical Informatics and Information Technologies in Health Management of KhMAPE (joined to ESIPE of KhNMU at the end of 2022 after merging with the Department of Social Medicine, Management and Business in Health Care)
Educational and Scientific Institute of Postgraduate Education ( ESIPE KhNMU) (Kharkiv Medical Academy of Postgraduate Education joined ESIPE KhNMU at the end of 2022)