A Comprehensive Review on Seismocardiogram: Current Advancements on Acquisition, Annotation, and Applications

Deepak Rai, Hiren Kumar Thakkar, Shyam Singh Rajput, Jose Santamaria, Chintan Bhatt and Francisco Roca
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Deepak Rai: Department of Computer Science and Engineering, National Institute of Technology Patna, Patna 800005, India
Hiren Kumar Thakkar: Department of Computer Science and Engineering, School of Engineering and Sciences, SRM University, Andhra Pradesh 522240, India
Shyam Singh Rajput: Department of Computer Science and Engineering, National Institute of Technology Patna, Patna 800005, India
Jose Santamaria: Department of Computer Science, University of Jaén, 23071 Jaén, Spain
Chintan Bhatt: U & P U. Patel Department of Computer Engineering, CSPIT, Charotar University of Science and Technology (CHARUSAT), Anand 388421, India
Francisco Roca: Department of Mathematics, University of Jaén, 23071 Jaén, Spain

Mathematics, 2021, vol. 9, issue 18, 1-29

Abstract: In recent years, cardiovascular diseases are on the rise, and they entail enormous health burdens on global economies. Cardiac vibrations yield a wide and rich spectrum of essential information regarding the functioning of the heart, and thus it is necessary to take advantage of this data to better monitor cardiac health by way of prevention in early stages. Specifically, seismocardiography (SCG) is a noninvasive technique that can record cardiac vibrations by using new cutting-edge devices as accelerometers. Therefore, providing new and reliable data regarding advancements in the field of SCG, i.e., new devices and tools, is necessary to outperform the current understanding of the State-of-the-Art (SoTA). This paper reviews the SoTA on SCG and concentrates on three critical aspects of the SCG approach, i.e., on the acquisition, annotation, and its current applications. Moreover, this comprehensive overview also presents a detailed summary of recent advancements in SCG, such as the adoption of new techniques based on the artificial intelligence field, e.g., machine learning, deep learning, artificial neural networks, and fuzzy logic. Finally, a discussion on the open issues and future investigations regarding the topic is included.

Keywords: cardiovascular; seismocardiography (SCG); noninvasive; SCG annotation; SCG acquisition; SCG applications; artificial intelligence; machine learning; deep learning (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2021
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