Literature DB >> 18070301

Accelerometer-derived time intervals during various pacing modes in patients with biventricular pacemakers: comparison with normals.

Frank I Marcus1, Vincent Sorrell, John Zanetti, Mike Bosnos, Gurpreet Baweja, Doug Perlick, Peter Ott, Julia Indik, Ding Sheng He, Kathy Gear.   

Abstract

INTRODUCTION: Changes due to biventricular pacing have been documented by shortening of QRS duration and echocardiography. Compared to normal ventricular activation, the presence of left bundle branch block (LBBB) results in a significant change in cardiac cycle time intervals. Some of these have been used to quantify the underlying cardiac dyssynchrony, assess the effects of biventricular pacing, and guide programming of ventricular pacing devices. This study evaluates a simple noninvasive method using accelerometers attached to the skin to measure cardiac time intervals in biventricularly paced patients.
METHODS: Ten patients with biventricular pacemakers previously implanted for congestive heart failure were paced in the AAI mode, then in atrioventricular (AV) sequential mode from the right and left ventricles followed by biventricular pacing. Simultaneous recordings were obtained by 2D, Doppler echocardiography as well as by accelerometers. Similar recordings were obtained from 10 gender, aged matched, normal controls during sinus rhythm.
RESULTS: Compared to normals, heart failure patients paced in AAI mode had prolonged isovolumetric contraction time (IVCT), shorter ventricular ejection time (LVET), and prolonged isovolumetric relaxation (IVRT). With biventricular pacing the IVCT decreased, but the LVET and IVRT did not change significantly. There was excellent correlation between the echo and accelerometer-measured intervals.
CONCLUSIONS: Shortening of the IVCT measured by an accelerometer is a consistent time interval change due to biventricular pacing that probably reflects more rapid acceleration of left ventricular ejection. The accelerometer may be useful to assess immediate efficacy of biventricular pacing during device implantation and optimize programmable time intervals such as AV and interventricular (VV) delays.

Entities:  

Mesh:

Year:  2007        PMID: 18070301     DOI: 10.1111/j.1540-8159.2007.00894.x

Source DB:  PubMed          Journal:  Pacing Clin Electrophysiol        ISSN: 0147-8389            Impact factor:   1.976


  12 in total

1.  Analysis of endocardial acceleration during intraoperative optimization of cardiac resynchronization therapy.

Authors:  Alfredo I Hernandez; Filippo Ziglio; Amel Amblard; Lotfi Senhadji; Christophe Leclercq
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2013

Review 2.  Are electronic cardiac devices still evolving?

Authors:  G Carrault; P Mabo
Journal:  Yearb Med Inform       Date:  2014-08-15

3.  Performance Analysis of Gyroscope and Accelerometer Sensors for Seismocardiography-Based Wearable Pre-Ejection Period Estimation.

Authors:  Md Mobashir Hasan Shandhi; Beren Semiz; Sinan Hersek; Nazli Goller; Farrokh Ayazi; Omer T Inan
Journal:  IEEE J Biomed Health Inform       Date:  2019-01-28       Impact factor: 5.772

4.  Detecting Aortic Valve-Induced Abnormal Flow with Seismocardiography and Cardiac MRI.

Authors:  Ethan M I Johnson; J Alex Heller; Florencia Garcia Vicente; Roberto Sarnari; Daniel Gordon; Patrick M McCarthy; Alex J Barker; Mozziyar Etemadi; Michael Markl
Journal:  Ann Biomed Eng       Date:  2020-03-16       Impact factor: 3.934

5.  Automatic Identification of Systolic Time Intervals in Seismocardiogram.

Authors:  Ghufran Shafiq; Sivanagaraja Tatinati; Wei Tech Ang; Kalyana C Veluvolu
Journal:  Sci Rep       Date:  2016-11-22       Impact factor: 4.379

6.  An algorithm for the beat-to-beat assessment of cardiac mechanics during sleep on Earth and in microgravity from the seismocardiogram.

Authors:  Marco Di Rienzo; Emanuele Vaini; Prospero Lombardi
Journal:  Sci Rep       Date:  2017-11-15       Impact factor: 4.379

Review 7.  Gyrocardiography: A Review of the Definition, History, Waveform Description, and Applications.

Authors:  Szymon Sieciński; Paweł S Kostka; Ewaryst J Tkacz
Journal:  Sensors (Basel)       Date:  2020-11-22       Impact factor: 3.576

8.  Realization and Technology Acceptance Test of a Wearable Cardiac Health Monitoring and Early Warning System with Multi-Channel MCGs and ECG.

Authors:  Wen-Yen Lin; Hong-Lin Ke; Wen-Cheng Chou; Po-Cheng Chang; Tsai-Hsuan Tsai; Ming-Yih Lee
Journal:  Sensors (Basel)       Date:  2018-10-19       Impact factor: 3.576

9.  Comparison of Different Methods for Estimating Cardiac Timings: A Comprehensive Multimodal Echocardiography Investigation.

Authors:  Parastoo Dehkordi; Farzad Khosrow-Khavar; Marco Di Rienzo; Omer T Inan; Samuel E Schmidt; Andrew P Blaber; Kasper Sørensen; Johannes J Struijk; Vahid Zakeri; Prospero Lombardi; Md Mobashir H Shandhi; Mojtaba Borairi; John M Zanetti; Kouhyar Tavakolian
Journal:  Front Physiol       Date:  2019-08-22       Impact factor: 4.566

10.  A Novel Adaptive Recursive Least Squares Filter to Remove the Motion Artifact in Seismocardiography.

Authors:  Shuai Yu; Sheng Liu
Journal:  Sensors (Basel)       Date:  2020-03-13       Impact factor: 3.576

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.