Cardiovascular diseases diagnosis by impedance cardiography-Reference-Cited by-同舟云学术

Cardiovascular diseases diagnosis by impedance cardiography

Published:2022-01-01 Issue:1 Volume:13 Page:88-95
ISSN:1891-5469
Container-title:Journal of Electrical Bioimpedance
language:en
Short-container-title:

Author:

Mansouri Sofiene¹²,Alharbi Yousef¹,Alshrouf Anwar¹,Alqahtani Abdulrahman¹³

Affiliation:

1. Department of Biomedical Technology, College of Applied Medical Sciences, Prince Sattam bin Abdulaziz University , Al-Kharj , Saudi Arabia

2. Laboratory of Biophysics and Medical Technologies, Higher Institute of Medical Technologies of Tunis, University of Tunis El Manar , Tunis Tunisia

3. Department of Medical Equipment Technology, College of Applied Medical Science, Majmaah University , Majmaah City , Saudi Arabia

Abstract

Abstract Cardiovascular disease (CVD) represents the leading cause of mortality worldwide. In order to diagnose CVDs, there are a range of detection methods, among them, the impedance cardiography technique (ICG). It is a non-invasive and low-cost method. In this paper, we highlight recent advances and developments of the CDVs diagnosis mainly by the ICG method. We considered papers published during the last five years (from 2017 until 2022). Based on this study, we expressed the need for an ICG database for the different CDVs.

Publisher

Walter de Gruyter GmbH

Subject

Biomedical Engineering,Biophysics

Link

https://www.sciendo.com/pdf/10.2478/joeb-2022-0013

Reference74 articles.

1. S. Romiti, M. Vinciguerra, W. Saade, I. Anso Cortajarena, and E. Greco, “Artificial Intelligence (AI) and Cardiovascular Diseases: An Unexpected Alliance,” Cardiol. Res. Pract., vol. 2020, no. Ml, 2020, https://doi.org/10.1155/2020/4972346.

2. “Cardiovascular diseases (CVDs).” https://www.who.int/news-room/fact-sheets/detail/cardiovascular-diseases-(cvds)(accessed Aug. 03, 2022).

3. S. Ghosh, B. P. Chattopadhyay, R. M. Roy, J. Mukherjee, and M. Mahadevappa, “Estimation of echocardiogram parameters with the aid of impedance cardiography and artificial neural networks,” Artif. Intell. Med., vol. 96, pp. 45–58, May 2019, https://doi.org/10.1016/J.ARTMED.2019.02.002.

4. “Coronary heart disease - Diagnosis - NHS.” https://www.nhs.uk/conditions/coronary-heart-disease/diagnosis/ (accessed Aug. 19, 2022).

5. “Five medical devices used for the early detection of heart disease.” https://www.nsmedicaldevices.com/analysis/heart-disease-detection-devices/# (accessed Aug. 19, 2022).

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