Heart Vibrations: An Emerging Cardiovascular Diagnostic Method

A special issue of Vibration (ISSN 2571-631X).

Deadline for manuscript submissions: closed (15 August 2019)

Special Issue Editors


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Guest Editor
Department of Agricultural and Biological Engineering, Mississippi State University, Mississippi State, MS 39762, USA
Interests: multiscale computational modeling; fluid mechanics; vibrations; signal and image processing; machine learning
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Mechanical Engineering, Embry-Riddle Aeronautical University, Daytona Beach, FL 32826, USA
Interests: turbulence; acoustics; data acquisition; CFD; FEA; hemodynamics; cardiovascular diseases; fluid–structure interactions
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Mechanical and Aerospace Engineering, University of Central Florida, Orlando, FL 32816, USA
Interests: vibrational and acoustic phenomena in biological systems; acoustic models of soft tissues; flow induced vibrations; vibro-acoustic sensors; electromechanical systems; digital signal processing; biostatistics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Cardiovascular disease has been consistently the leading cause of death in the world. Improving current diagnostic methods and developing new tools can help decrease associated mortality. Measurement of cardiac vibrations was performed as early as the start of the 20th century. Many variations within this approach have been described, including seismocardiography (SCG), vibrocardiography (VCG), gyrocardiography (GCG), ballistocardiography (BCG), kinetocardiography (KCG), and cardiokymography (CKG). Computer analysis of these signals can provide quantitative diagnostic information that may be helpful for monitoring patients suspected of different cardiovascular disease.

The MDPI journal, Vibration, is offering this Special Issue dedicated to research on cardiovascular diagnostic methods based on heart-induced vibrations. The goal of this issue is to highlight cutting-edge research that would lead to improvements of current diagnostic and treatment methods as well as introduce the heart-induced vibrations as an emerging diagnostic solution. Researchers are invited to submit their manuscripts in all forms of original research articles, reviews, communications, and opinions. We look forward to, and welcome, your participation in this Special Issue.

Dr. Amirtahà Taebi
Dr. Fardin Khalili
Dr. Hansen A. Mansy
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Vibration is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • heart-induced vibrations
  • cardio-mechanical signals
  • seismocardiography
  • vibrocardiography
  • ballistocardiography
  • gyrocardiography
  • cardiovascular disease
  • signal processing
  • machine learning
  • deep learning

Published Papers (1 paper)

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Review

23 pages, 1409 KiB  
Review
Recent Advances in Seismocardiography
by Amirtahà Taebi, Brian E. Solar, Andrew J. Bomar, Richard H. Sandler and Hansen A. Mansy
Vibration 2019, 2(1), 64-86; https://doi.org/10.3390/vibration2010005 - 14 Jan 2019
Cited by 169 | Viewed by 11401
Abstract
Cardiovascular disease is a major cause of death worldwide. New diagnostic tools are needed to provide early detection and intervention to reduce mortality and increase both the duration and quality of life for patients with heart disease. Seismocardiography (SCG) is a technique for [...] Read more.
Cardiovascular disease is a major cause of death worldwide. New diagnostic tools are needed to provide early detection and intervention to reduce mortality and increase both the duration and quality of life for patients with heart disease. Seismocardiography (SCG) is a technique for noninvasive evaluation of cardiac activity. However, the complexity of SCG signals introduced challenges in SCG studies. Renewed interest in investigating the utility of SCG accelerated in recent years and benefited from new advances in low-cost lightweight sensors, and signal processing and machine learning methods. Recent studies demonstrated the potential clinical utility of SCG signals for the detection and monitoring of certain cardiovascular conditions. While some studies focused on investigating the genesis of SCG signals and their clinical applications, others focused on developing proper signal processing algorithms for noise reduction, and SCG signal feature extraction and classification. This paper reviews the recent advances in the field of SCG. Full article
(This article belongs to the Special Issue Heart Vibrations: An Emerging Cardiovascular Diagnostic Method)
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