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Narrative review of the literature: application of mechanical self powered sensors for continuous surveillance of heart functions

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 15 No. 1 (2025)

DOI
10.11591/ijece.v15i1.pp243-251
ISSN
2722-2578, 2088-8708
Published
2025-02-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-sa/4.0

Abstract

Cardiovascular disease consistently occupies a prominent position among the leading global causes of mortality. Continuous and real-time monitoring of cardiovascular signs over an extended duration is necessary to identify irregularities and prompt timely intervention. Due to this reason, researchers have invested heavily in developing adaptive sensors that may be worn or implanted and continuously monitor numerous vital physiological characteristics. Mechanical sensors represent a category of devices capable of precisely capturing the temporal variations in pressure within the heart and arteries. Mechanical sensors possess inherent advantages such as exceptional precision and a wide range of adaptability. This article examines four distinct mechanical sensor technologies that rely on capacitive, piezoresistive, piezoelectric, and triboelectric principles. These technologies show great potential as novel approaches for monitoring the cardiovascular system. The subsequent section provides a comprehensive analysis of the biomechanical components of the cardiovascular system, accompanied by an in-depth examination of the methods employed to monitor these intricate systems. These systems measure blood and endocardial pressure, pulse wave, and heart rhythm. Finally, we discuss the potential benefits of continuing health monitoring in vascular disease treatment and the challenges of integrating it into clinical settings.

Collaboration network of the authors

37 authors · 121 co-authorship links · 43 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Al-Ahliyya Amman University
  • Zarqa University
  • Al-Balqa Applied University
  • Applied Science Private University
  • Amman Arab University
  • Hashemite University
  • Higher Colleges of Technology
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Suhaila AbuowaidaAffiliation unknown8
Ghayth AlMahadinAl-Ahliyya Amman University4
Mwaffaq Abu-AlhaijaAl-Ahliyya Amman University3
Mohammad Abdallah AlsharaiahAl-Ahliyya Amman University3
Ala AbuthawabehAmman Arab University3
Ali Mohd AliAl-Ahliyya Amman University2
Mohammad R. HassanAl-Ahliyya Amman University2
Feras AlnaimatAl-Ahliyya Amman University2
Ashraf Al SharahAl-Balqa Applied University2
Bashar E.A. BadrAl-Ahliyya Amman University1
Amani M. Al-GhraibahAl-Ahliyya Amman University1
Sameh El-SharoAffiliation unknown1
Mustafa Muhammad MatalgahAffiliation unknown1
Wael ToghujAl-Ahliyya Amman University1
Abdelrahman H. HusseinAl-Ahliyya Amman University1
Mwaffaq AbualhijaAffiliation unknown1
Nid’a Al-Shaf’iAl-Ahliyya Amman University1
Zaher SalahHashemite University1
Esraa Abu ElsoudZarqa University1
Waleed T. Al-SitHigher Colleges of Technology1
Esraa AlhenawiZarqa University1
Fuad Sameh AlshraiedehZarqa University1
Ghassan SamaraZarqa University1
Mohammad AljaidiZarqa University1
Hussain Mohammed TurkiZarqa University1
Essam Al-DaoudZarqa University1
Raed AlazaidahZarqa University1
Mais Haj QasemZarqa University1
Zaid MustafaAl-Balqa Applied University1
Ahmad AburommanZarqa University1
Musab IqtaitZarqa University1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Narrative review of the literature: application of mechanical self powered sensors for continuous surveillance of heart functions</dc:title><dc:creator>Owida, Hamza Abu</dc:creator><dc:creator>Al-Nabulsi, Jamal I.</dc:creator><dc:creator>Turab, Nidal</dc:creator><dc:creator>Al-Ayyad, Muhammad</dc:creator><dc:creator>Al Hawamdeh, Nour</dc:creator><dc:creator>Alshdaifat, Nawaf</dc:creator><dc:description>&lt;jats:p&gt;Cardiovascular disease consistently occupies a prominent position among the leading global causes of mortality. Continuous and real-time monitoring of cardiovascular signs over an extended duration is necessary to identify irregularities and prompt timely intervention. Due to this reason, researchers have invested heavily in developing adaptive sensors that may be worn or implanted and continuously monitor numerous vital physiological characteristics. Mechanical sensors represent a category of devices capable of precisely capturing the temporal variations in pressure within the heart and arteries. Mechanical sensors possess inherent advantages such as exceptional precision and a wide range of adaptability. This article examines four distinct mechanical sensor technologies that rely on capacitive, piezoresistive, piezoelectric, and triboelectric principles. These technologies show great potential as novel approaches for monitoring the cardiovascular system. The subsequent section provides a comprehensive analysis of the biomechanical components of the cardiovascular system, accompanied by an in-depth examination of the methods employed to monitor these intricate systems. These systems measure blood and endocardial pressure, pulse wave, and heart rhythm. Finally, we discuss the potential benefits of continuing health monitoring in vascular disease treatment and the challenges of integrating it into clinical settings.&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2025-02-01</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.11591/ijece.v15i1.pp243-251</dc:identifier><dc:identifier>10.11591/ijece.v15i1.pp243-251</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 15 No 1 (2025); 243</dc:source><dc:source>2722-2578</dc:source><dc:source>2088-8708</dc:source><dc:relation>https://ijece.iaescore.com/index.php/IJECE/article/viewFile/31689/17925</dc:relation><dc:rights>http://creativecommons.org/licenses/by-sa/4.0</dc:rights></oai_dc:dc>