Optimal Algorithm Switching for the Estimation of Systole Period From Cardiac Microacceleration Signals (SonR)
| العنوان: | Optimal Algorithm Switching for the Estimation of Systole Period From Cardiac Microacceleration Signals (SonR) |
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| المؤلفون: | Lotfi Senhadji, Philippe Mabo, P. Frogerais, Alfredo Hernandez, Erwan Donal, Amel Amblard, Lionel Giorgis |
| المساهمون: | Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM), Sorin Group [Clamart], This work was supported in part by the ANR the French National Agency of Research, Senhadji, Lotfi, Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM) |
| المصدر: | IEEE Transactions on Biomedical Engineering IEEE Transactions on Biomedical Engineering, Institute of Electrical and Electronics Engineers, 2012, 59 (11), pp.3009-15. ⟨10.1109/TBME.2012.2212019⟩ IEEE Transactions on Biomedical Engineering, 2012, 59 (11), pp.3009-15. ⟨10.1109/TBME.2012.2212019⟩ |
| بيانات النشر: | Institute of Electrical and Electronics Engineers (IEEE), 2012. |
| سنة النشر: | 2012 |
| مصطلحات موضوعية: | Cardiac pacing, MESH: Echocardiography, Doppler, Computer science, medicine.medical_treatment, 02 engineering and technology, 030204 cardiovascular system & hematology, MESH: Signal Processing, Computer-Assisted, Signal, SonR, Cardiac Resynchronization Therapy, Electrocardiography, Endocardial pacing lead, 0302 clinical medicine, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, Accelerometry, MESH: Accelerometry, medicine.diagnostic_test, Signal Processing, Computer-Assisted, Biventricular pacemaker, MESH: Systole, Echocardiography, Doppler, [SDV.MHEP.CSC] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, Heart Sounds, Heart sounds, Cardiology, [SDV.IB]Life Sciences [q-bio]/Bioengineering, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Algorithm, Algorithms, MESH: Cardiac Resynchronization Therapy, medicine.medical_specialty, [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, Systole, 0206 medical engineering, Biomedical Engineering, Cardiac resynchronization therapy, MESH: Algorithms, 03 medical and health sciences, Endocardial Acceleration, [SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, MESH: Endocardium, Internal medicine, Heart rate, medicine, Humans, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing, [SDV.IB] Life Sciences [q-bio]/Bioengineering, MESH: Humans, ECG, medicine.disease, 020601 biomedical engineering, MESH: Electrocardiography, MESH: Heart Sounds, Heart failure, Endocardium, Algorithm Switching, Biomedical engineering |
| الوصف: | International audience; Previous studies have shown that cardiac microacceleration signals, recorded either cutaneously, or embedded into the tip of an endocardial pacing lead, provide meaningful information to characterize the cardiac mechanical function. This information may be useful to personalize and optimize the cardiac resynchronization therapy, delivered by a biventricular pacemaker, for patients suffering from chronic heart failure (HF). This paper focuses on the improvement of a previously proposed method for the estimation of the systole period from a signal acquired with a cardiac microaccelerometer (SonR sensor, Sorin CRM SAS, France). We propose an optimal algorithm switching approach, to dynamically select the best configuration of the estimation method, as a function of different control variables, such as the signal-to-noise ratio or heart rate. This method was evaluated on a database containing recordings from 31 patients suffering from chronic HF and implanted with a biventricular pacemaker, for which various cardiac pacing configurations were tested. Ultrasound measurements of the systole period were used as a reference and the improved method was compared with the original estimator. A reduction of 11% on the absolute estimation error was obtained for the systole period with the proposed algorithm switching approach. |
| وصف الملف: | application/pdf |
| تدمد: | 1558-2531 0018-9294 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::79dd2f080140d1de1368bd08b31fbefb https://doi.org/10.1109/tbme.2012.2212019 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....79dd2f080140d1de1368bd08b31fbefb |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 15582531 00189294 |
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