Literature DB >> 27914174

Mathematical detection of aortic valve opening (B point) in impedance cardiography: A comparison of three popular algorithms.

Javier Rodríguez Árbol1, Pandelis Perakakis1, Alba Garrido1, José Luis Mata1, M Carmen Fernández-Santaella1, Jaime Vila1.   

Abstract

The preejection period (PEP) is an index of left ventricle contractility widely used in psychophysiological research. Its computation requires detecting the moment when the aortic valve opens, which coincides with the B point in the first derivative of impedance cardiogram (ICG). Although this operation has been traditionally made via visual inspection, several algorithms based on derivative calculations have been developed to enable an automatic performance of the task. However, despite their popularity, data about their empirical validation are not always available. The present study analyzes the performance in the estimation of the aortic valve opening of three popular algorithms, by comparing their performance with the visual detection of the B point made by two independent scorers. Algorithm 1 is based on the first derivative of the ICG, Algorithm 2 on the second derivative, and Algorithm 3 on the third derivative. Algorithm 3 showed the highest accuracy rate (78.77%), followed by Algorithm 1 (24.57%) and Algorithm 2 (13.82%). In the automatic computation of PEP, Algorithm 2 resulted in significantly more missed cycles (48.57%) than Algorithm 1 (6.3%) and Algorithm 3 (3.5%). Algorithm 2 also estimated a significantly lower average PEP (70 ms), compared with the values obtained by Algorithm 1 (119 ms) and Algorithm 3 (113 ms). Our findings indicate that the algorithm based on the third derivative of the ICG performs significantly better. Nevertheless, a visual inspection of the signal proves indispensable, and this article provides a novel visual guide to facilitate the manual detection of the B point.
© 2016 Society for Psychophysiological Research.

Entities:  

Keywords:  Isoelectric crossings; Preejection period; Second derivative classification; Third derivative classification

Mesh:

Year:  2016        PMID: 27914174     DOI: 10.1111/psyp.12799

Source DB:  PubMed          Journal:  Psychophysiology        ISSN: 0048-5772            Impact factor:   4.016


  11 in total

1.  Automatic analysis of pre-ejection period during sleep using impedance cardiogram.

Authors:  Mohamad Forouzanfar; Fiona C Baker; Ian M Colrain; Aimée Goldstone; Massimiliano de Zambotti
Journal:  Psychophysiology       Date:  2019-03-05       Impact factor: 4.016

2.  Toward a better noninvasive assessment of preejection period: A novel automatic algorithm for B-point detection and correction on thoracic impedance cardiogram.

Authors:  Mohamad Forouzanfar; Fiona C Baker; Massimiliano de Zambotti; Corey McCall; Laurent Giovangrandi; Gregory T A Kovacs
Journal:  Psychophysiology       Date:  2018-03-07       Impact factor: 4.016

3.  An Open-Source Feature Extraction Tool for the Analysis of Peripheral Physiological Data.

Authors:  Mohsen Nabian; Yu Yin; Jolie Wormwood; Karen S Quigley; Lisa F Barrett; Sarah Ostadabbas
Journal:  IEEE J Transl Eng Health Med       Date:  2018-10-26       Impact factor: 3.316

4.  Planning, conducting, and analyzing a psychophysiological experiment on challenge and threat: A comprehensive tutorial.

Authors:  Phillip R Johnston; Alexandra E Volkov; William S Ryan; Spike W S Lee
Journal:  Behav Res Methods       Date:  2022-05-23

5.  Validation of a new impedance cardiography analysis algorithm for clinical classification of stress states.

Authors:  Shafa-At Ali Sheikh; Nil Z Gurel; Shishir Gupta; Ikenna V Chukwu; Oleksiy Levantsevych; Mhmtjamil Alkhalaf; Majd Soudan; Rami Abdulbaki; Ammer Haffar; Gari D Clifford; Omer T Inan; Amit J Shah
Journal:  Psychophysiology       Date:  2022-02-12       Impact factor: 4.348

6.  Dual impedance cardiography: An inexpensive and reliable method to assess arterial stiffness.

Authors:  Mark R Scudder; J Richard Jennings; Caitlin M DuPont; Kimberly G Lockwood; Shrenik H Gadagkar; Belen Best; Swetha P Jasti; Peter J Gianaros
Journal:  Psychophysiology       Date:  2021-01-26       Impact factor: 4.348

7.  An open-source automated algorithm for removal of noisy beats for accurate impedance cardiogram analysis.

Authors:  Shafa-At Ali Sheikh; Amit Shah; Oleksiy Levantsevych; Majd Soudan; Jamil Alkhalaf; Ali Bahrami Rad; Omer T Inan; Gari D Clifford
Journal:  Physiol Meas       Date:  2020-08-11       Impact factor: 2.688

8.  Comparison of autonomic stress reactivity in young healthy versus aging subjects with heart disease.

Authors:  Nil Z Gurel; Andrew M Carek; Omer T Inan; Oleksiy Levantsevych; Naser Abdelhadi; Muhammad Hammadah; Wesley T O'Neal; Heval Kelli; Kobina Wilmot; Laura Ward; Steven Rhodes; Brad D Pearce; Puja K Mehta; Michael Kutner; Ernest Garcia; Arshed Quyyumi; Viola Vaccarino; Paolo Raggi; J Douglas Bremner; Amit J Shah
Journal:  PLoS One       Date:  2019-05-08       Impact factor: 3.240

9.  Multimodal Wrist Biosensor for Wearable Cuff-less Blood Pressure Monitoring System.

Authors:  Vega Pradana Rachim; Wan-Young Chung
Journal:  Sci Rep       Date:  2019-05-28       Impact factor: 4.379

10.  RZ Interval as an Impedance Cardiography Indicator of Effort-Related Cardiac Sympathetic Activity.

Authors:  Paul J Silvia; Ashley N McHone; Zuzana Mironovová; Kari M Eddington; Kelly L Harper; Sarah H Sperry; Thomas R Kwapil
Journal:  Appl Psychophysiol Biofeedback       Date:  2020-11-10
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