Recent Advances in Seismocardiography

Overview

Journal Vibration

Date 2021 Jun 11

PMID 34113791

Citations 65

Authors

Amirtaha Taebi

Brian E Solar

Andrew J Bomar

Richard H Sandler

Hansen A Mansy

Affiliations

Soon will be listed here.

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 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.

Citing Articles

Fully automated template matching method for ECG-free heartbeat detection in cardiomechanical signals of healthy and pathological subjects.

Parlato S, Centracchio J, Esposito D, Bifulco P, Andreozzi E Phys Eng Sci Med. 2025; .

PMID: 40080259 DOI: 10.1007/s13246-025-01531-3.

Accuracy of the Instantaneous Breathing and Heart Rates Estimated by Smartphone Inertial Units.

Cinotti E, Centracchio J, Parlato S, Esposito D, Fratini A, Bifulco P Sensors (Basel). 2025; 25(4).

PMID: 40006324 PMC: 11859794. DOI: 10.3390/s25041094.

Continuous Estimation of Blood Pressure by Utilizing Seismocardiogram Signal Features in Relation to Electrocardiogram.

Zienkiewicz A, Korhonen V, Kiviniemi V, Myllyla T Biosensors (Basel). 2024; 14(12).

PMID: 39727886 PMC: 11674058. DOI: 10.3390/bios14120621.

Effect of respiration and exercise on seismocardiographic signals.

Dhar R, Darwish S, Darwish S, Sandler R, Mansy H Comput Biol Med. 2024; 185:109600.

PMID: 39709866 PMC: 11772020. DOI: 10.1016/j.compbiomed.2024.109600.

Evaluating Seismocardiography as a Non-Exercise Method for Estimating Maximal Oxygen Uptake.

Schulenburg R, Schmidt S, Schroder J, Harth V, Reer R Healthcare (Basel). 2024; 12(21).

PMID: 39517374 PMC: 11544828. DOI: 10.3390/healthcare12212162.

References

Wahlstrom J, Skog I, Handel P, Khosrow-Khavar F, Tavakolian K, Stein P . A Hidden Markov Model for Seismocardiography. IEEE Trans Biomed Eng. 2017; 64(10):2361-2372. DOI: 10.1109/TBME.2017.2648741. View

Choudhary T, Sharma L, Bhuyan M . Automatic Detection of Aortic Valve Opening Using Seismocardiography in Healthy Individuals. IEEE J Biomed Health Inform. 2018; 23(3):1032-1040. DOI: 10.1109/JBHI.2018.2829608. View

Salerno D, Zanetti J . Seismocardiography for monitoring changes in left ventricular function during ischemia. Chest. 1991; 100(4):991-3. DOI: 10.1378/chest.100.4.991. View

Yao J, Tridandapani S, Wick C, Bhatti P . Seismocardiography-Based Cardiac Computed Tomography Gating Using Patient-Specific Template Identification and Detection. IEEE J Transl Eng Health Med. 2017; 5:1900314. PMC: 5568038. DOI: 10.1109/JTEHM.2017.2708100. View

Tavakolian K, Khosrow-Khavar F, Kajbafzadeh B, Marzencki M, Blaber A, Kaminska B . Precordial acceleration signals improve the performance of diastolic timed vibrations. Med Eng Phys. 2013; 35(8):1133-40. DOI: 10.1016/j.medengphy.2012.12.001. View

Mack D, Patrie J, Suratt P, Felder R, Alwan M . Development and preliminary validation of heart rate and breathing rate detection using a passive, ballistocardiography-based sleep monitoring system. IEEE Trans Inf Technol Biomed. 2009; 13(1):111-20. DOI: 10.1109/TITB.2008.2007194. View

Otto C . Timing of aortic valve surgery. Heart. 2000; 84(2):211-8. PMC: 1760905. DOI: 10.1136/heart.84.2.211. View

Canino N, Wang R, Robinson C . Using multiple placements of accelerometers to measure cardiovascular pulse transit times. Annu Int Conf IEEE Eng Med Biol Soc. 2017; 2016:4248-4251. DOI: 10.1109/EMBC.2016.7591665. View

Taebi A, Mansy H . Time-Frequency Distribution of Seismocardiographic Signals: A Comparative Study. Bioengineering (Basel). 2017; 4(2). PMC: 5590466. DOI: 10.3390/bioengineering4020032. View

10.

EDDLEMAN Jr E . Kinetocardiographic changes in ischemic heart disease. Circulation. 1965; 32(4):650-5. DOI: 10.1161/01.cir.32.4.650. View

11.

Scherhag A, Pfleger S, Ceconi C, Voelker W, Gehring J, Staedt U . Evaluation of signal-averaged cardiokymography for the detection of ischaemic left ventricular dysfunction. Int J Cardiol. 1997; 59(3):305-12. DOI: 10.1016/s0167-5273(97)02963-x. View

12.

Ashouri H, Hersek S, Inan O . Universal Pre-Ejection Period Estimation Using Seismocardiography: Quantifying the Effects of Sensor Placement and Regression Algorithms. IEEE Sens J. 2018; 18(4):1665-1674. PMC: 5983029. DOI: 10.1109/jsen.2017.2787628. View

13.

Morbiducci U, Scalise L, de Melis M, Grigioni M . Optical vibrocardiography: a novel tool for the optical monitoring of cardiac activity. Ann Biomed Eng. 2006; 35(1):45-58. DOI: 10.1007/s10439-006-9202-9. View

14.

Gurev V, Tavakolian K, Constantino J, Kaminska B, Blaber A, Trayanova N . Mechanisms Underlying Isovolumic Contraction and Ejection Peaks in Seismocardiogram Morphology. J Med Biol Eng. 2012; 32(2):103-110. PMC: 3480230. DOI: 10.5405/jmbe.847. View

15.

Inan O, Migeotte P, Park K, Etemadi M, Tavakolian K, Casanella R . Ballistocardiography and seismocardiography: a review of recent advances. IEEE J Biomed Health Inform. 2014; 19(4):1414-27. DOI: 10.1109/JBHI.2014.2361732. View

16.

Hurnanen T, Lehtonen E, Jafari Tadi M, Kuusela T, Kiviniemi T, Saraste A . Automated Detection of Atrial Fibrillation Based on Time-Frequency Analysis of Seismocardiograms. IEEE J Biomed Health Inform. 2016; 21(5):1233-1241. DOI: 10.1109/JBHI.2016.2621887. View

17.

Paukkunen M, Parkkila P, Hurnanen T, Pankaala M, Koivisto T, Nieminen T . Beat-by-Beat Quantification of Cardiac Cycle Events Detected From Three-Dimensional Precordial Acceleration Signals. IEEE J Biomed Health Inform. 2015; 20(2):435-9. DOI: 10.1109/JBHI.2015.2391437. View

18.

Shafiq G, Tatinati S, Ang W, Veluvolu K . Automatic Identification of Systolic Time Intervals in Seismocardiogram. Sci Rep. 2016; 6:37524. PMC: 5118745. DOI: 10.1038/srep37524. View

19.

Khosrow-Khavar F, Tavakolian K, Blaber A, Menon C . Automatic and Robust Delineation of the Fiducial Points of the Seismocardiogram Signal for Non-invasive Estimation of Cardiac Time Intervals. IEEE Trans Biomed Eng. 2017; 64(8):1701-1710. DOI: 10.1109/TBME.2016.2616382. View

20.

Sengupta P, Krishnamoorthy V, Korinek J, Narula J, Vannan M, Lester S . Left ventricular form and function revisited: applied translational science to cardiovascular ultrasound imaging. J Am Soc Echocardiogr. 2007; 20(5):539-51. PMC: 1951787. DOI: 10.1016/j.echo.2006.10.013. View