Literature DB >> 22178069

Simulation of foetal phonocardiographic recordings for testing of FHR extraction algorithms.

M Cesarelli1, M Ruffo, M Romano, P Bifulco.   

Abstract

A valuable alternative to traditional diagnostic tools, such as ultrasonographic cardiotocography, to monitor general foetal well-being by means of foetal heart rate analysis is foetal phonocardiography, a passive and low cost recording of foetal heart sounds. In this paper, it is presented a simulator software of foetal phonocardiographic signals relative to different foetal states and recording conditions (for example different kinds and levels of noise). Before developing the software, a data collection pilot study was conducted with the purpose of specifically identifying the characteristics of the waveforms of the foetal and maternal heart sounds, since the available literature is not rigorous in this area. The developed software, due to the possibility to simulate different physiological and pathological foetal conditions and recording situations simply modifying some system parameters, can be useful as a teaching tool for demonstration to medical students and others and also for testing and assessment of foetal heart rate extraction algorithms from foetal phonocardiographic (fPCG) recordings. On this purpose, the simulator software was used to test an algorithm developed by the authors for foetal heart rate extraction considering different foetal heart rate parameters and signal to noise ratio values. Our tests demonstrated that simulated fPCG signals are very close to real fPCG recordings.
Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

Mesh:

Year:  2011        PMID: 22178069     DOI: 10.1016/j.cmpb.2011.11.008

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  7 in total

1.  Source separation from single-channel abdominal phonocardiographic signals based on independent component analysis.

Authors:  Sepideh Jabbari
Journal:  Biomed Eng Lett       Date:  2021-02-02

2.  The CirCor DigiScope Dataset: From Murmur Detection to Murmur Classification.

Authors:  Jorge Oliveira; Francesco Renna; Paulo Dias Costa; Marcelo Nogueira; Cristina Oliveira; Carlos Ferreira; Alipio Jorge; Sandra Mattos; Thamine Hatem; Thiago Tavares; Andoni Elola; Ali Bahrami Rad; Reza Sameni; Gari D Clifford; Miguel T Coimbra
Journal:  IEEE J Biomed Health Inform       Date:  2022-06-03       Impact factor: 7.021

3.  Fetal Heart Sounds Detection Using Wavelet Transform and Fractal Dimension.

Authors:  Elisavet Koutsiana; Leontios J Hadjileontiadis; Ioanna Chouvarda; Ahsan H Khandoker
Journal:  Front Bioeng Biotechnol       Date:  2017-09-08

4.  Non-Invasive Fetal Monitoring: A Maternal Surface ECG Electrode Placement-Based Novel Approach for Optimization of Adaptive Filter Control Parameters Using the LMS and RLS Algorithms.

Authors:  Radek Martinek; Radana Kahankova; Homer Nazeran; Jaromir Konecny; Janusz Jezewski; Petr Janku; Petr Bilik; Jan Zidek; Jan Nedoma; Marcel Fajkus
Journal:  Sensors (Basel)       Date:  2017-05-19       Impact factor: 3.576

5.  A Phonocardiographic-Based Fiber-Optic Sensor and Adaptive Filtering System for Noninvasive Continuous Fetal Heart Rate Monitoring.

Authors:  Radek Martinek; Jan Nedoma; Marcel Fajkus; Radana Kahankova; Jaromir Konecny; Petr Janku; Stanislav Kepak; Petr Bilik; Homer Nazeran
Journal:  Sensors (Basel)       Date:  2017-04-18       Impact factor: 3.576

6.  A New Approach for Testing Fetal Heart Rate Monitors.

Authors:  Daniele Bibbo; Tomas Klinkovsky; Marek Penhaker; Petr Kudrna; Lukas Peter; Martin Augustynek; Vladimír Kašík; Jan Kubicek; Ali Selamat; Martin Cerny; Daniel Bielcik
Journal:  Sensors (Basel)       Date:  2020-07-25       Impact factor: 3.576

7.  A comparative study of single-channel signal processing methods in fetal phonocardiography.

Authors:  Katerina Barnova; Radana Kahankova; Rene Jaros; Martina Litschmannova; Radek Martinek
Journal:  PLoS One       Date:  2022-08-19       Impact factor: 3.752

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.