a study of teager kaiser energy operator pertinence for r
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Petrozavodsk State University Department of Computer Science Alexander Borodin, Artem Rudenya A Study of Teager-Kaiser Energy Operator Pertinence for R Peak Detection in ECG Recordings This research is financially supported by the Ministry of


  1. Petrozavodsk State University Department of Computer Science Alexander Borodin, Artem Rudenya A Study of Teager-Kaiser Energy Operator Pertinence for R Peak Detection in ECG Recordings This research is financially supported by the Ministry of Education and Science of the Russian Federation within project # 14.574.21.0060 (RFMEFI57414X0060) of Federal Target Program "Research and development on priority directions of scientific-technological complex of Russia for 2014–2020". AINL-ISMW FRUCT 2015 conference November 9–14, Saint-Petersburg, Russia AINL-ISMW FRUCT 2015 Alexander Borodin 1 / 6

  2. Motivation Number 1 cause of death Can be prevented by globally (31% of all global addressing behavioural risk deaths in 2012) 1 factors (tobacco use, unhealthy diet, obesity, Contribution of CVDs to physical inactivity, etc.) mortality in CIS (percents) Need early detection and Georgia 67 management Ukraine 64 Azerbaijan 60 Can be done based on ECG Russia 57 analysis Moldova 56 Belorussia 53 R R Kazakhstan 50 T T P P Armenia 50 Kyrgyzstan 49 Q Q S S Tajikistan 39 1 Source: WHO AINL-ISMW FRUCT 2015 Alexander Borodin 2 / 6

  3. Significance of confident R peak detection Normal sinus rhythm Sinoatrial block Atrial flutter Sinus tachycardia Wolff-Parkinson-White Sinus bradycardia syndrome Source: Medical Training and Simulation LLC http://www.practicalclinicalskills.com AINL-ISMW FRUCT 2015 Alexander Borodin 3 / 6

  4. Arrhythmia detection based on continuous monitoring Digital cardiogram data Preprocessing Feature extraction Recommendations Classi cation Emergency call AINL-ISMW FRUCT 2015 Alexander Borodin 4 / 6

  5. Teager-Kaiser energy operator based approach Consider the digital ECG recording represented by discrete signal x n 1 Estimate the instantaneous energy of a signal Ψ d [ x n ] = x 2 n − x n − 1 x n + 1 2 Emphasize the pulses y n = Ψ d [ x n ] 3 3 Choosing parameters N , α and β , apply the adaptive threshold N 1 � z n = α y k + βσ y N + 1 k = − N Source: Yamamoto and Yoshida, 2013 AINL-ISMW FRUCT 2015 Alexander Borodin 5 / 6

  6. Contribution, experiments and results An one-pass algorithm of R Set of experiments with Peak detection have been signal from MIT_BIH constructed based on the Arrhythmia Database approach. Good sensitivity on the The algorithm have been signals with sinus where a implemented as a C / C++ sinus rhythm is identified. library More chaotic signals The verification tool have reported to be too hard for been built. well-known precise methods as well. AINL-ISMW FRUCT 2015 Alexander Borodin 6 / 6

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