Seismocardiography: waveform identification and noise analysis

Zanetti, John; Poliac, Marius; Crow, Richard S.

doi:10.1109/cic.1991.169042

Cited by 47 publications

(40 citation statements)

References 1 publication

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“…As preceding studies were indicated , [1], [2], [8], SCG demonstrates the cardiac mechanics by evaluating the acceleration variations during the cardiac cycle. On this basis, the quiescent phases of cardiac cycle can be found accurately by SCG.…”

Section: Resultsmentioning

confidence: 92%

“…Seismocardiography (SCG) is an accelerometer-based non-invasive method which measures accelerations caused by respiration and myocardial movements in the chest wall [1], [2]. The wearable SCG provides a powerful non-invasive tool for examining the cardiac mechanics [3].…”

Section: Introductionmentioning

confidence: 99%

“…That is, specific SCG wave forms in each cardiac cycle refer to the particular mechanical cardiac event. For example, instants of mitral valve closure (MC), aortic valve opening (AO), the point of maximal blood accelerations in the aorta (MA) and maximum blood injection (MI) occur during the first heart sound (S1) and mitral valve opening (MO) and aortic valve closure (AC) occur during the second heart sound (S2) [1], [5]. Systolic time intervals (STI) including total electromechanical systole (QS2), left ventricular ejection time (LVET) and pre-ejection period (PEP) are significant indexes which are widely used for investigating the performance of the heart [6].…”

Section: Introductionmentioning

confidence: 99%

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A new algorithm for segmentation of cardiac quiescent phases and cardiac time intervals using seismocardiography

et al. 2015

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Systolic time intervals (STI) have significant diagnostic values for a clinical assessment of the left ventricle in adults. This study was conducted to explore the feasibility of using seismocardiography (SCG) to measure the systolic timings of the cardiac cycle accurately. An algorithm was developed for the automatic localization of the cardiac events (e.g. the opening and closing moments of the aortic and mitral valves). Synchronously acquired SCG and electrocardiography (ECG) enabled an accurate beat to beat estimation of the electromechanical systole (QS2), pre-ejection period (PEP) index and left ventricular ejection time (LVET) index. The performance of the algorithm was evaluated on a healthy test group with no evidence of cardiovascular disease (CVD). STI values were corrected based on Weissler's regression method in order to assess the correlation between the heart rate and STIs. One can see from the results that STIs correlate poorly with the heart rate (HR) on this test group. An algorithm was developed to visualize the quiescent phases of the cardiac cycle. A color map displaying the magnitude of SCG accelerations for multiple heartbeats visualizes the average cardiac motions and thereby helps to identify quiescent phases. High correlation between the heart rate and the duration of the cardiac quiescent phases was observed.

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Section: Resultsmentioning

confidence: 92%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A new algorithm for segmentation of cardiac quiescent phases and cardiac time intervals using seismocardiography

et al. 2015

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“…The first clinical application and modern nomenclature was reported in the works of Salerno and Zanetti in the early 90s [8][9][10][11]. Due to the use of validation procedures, for example, echocardiography (ECHO) the points of mitral valve closure (MC), aortic valve opening (AO), maximum acceleration of blood in the aorta (MA), onset of rapid ejection of blood into the aorta (RE), aortic valve closure (AC), and mitral valve opening (MO) have been detected [11,12].…”

Section: Introductionmentioning

confidence: 99%

“…Due to the use of validation procedures, for example, echocardiography (ECHO) the points of mitral valve closure (MC), aortic valve opening (AO), maximum acceleration of blood in the aorta (MA), onset of rapid ejection of blood into the aorta (RE), aortic valve closure (AC), and mitral valve opening (MO) have been detected [11,12]. SCG is normally recorded in the dorso-ventral axis from the sternum [10], but many groups have presented with tri-axial approaches also [13][14][15].…”

Section: Introductionmentioning

confidence: 99%

A Portable Measurement System for the Superior-Inferior Axis of the Seismocardiogram

MJT¹,

MT²

2013

J Bioeng Biomed Sci

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Seismocardiography (SCG) is the measurement of vibration of the precordium due to cardiac movement. SCG is considered to be of value when cost-effective cardiac and circulatory assessment is needed. SCG is normally recorded in the dorso-ventral axis from the sternum, while it has been shown that the superior-inferior axis also has consistent waveforms and might be usable in stroke volume evaluation. Thus, it seems that a system focusing on the superiorinferior axis could be very useful. In this article, a portable measurement system for the measurement of the superiorinferior axis of the SCG is described, and its functioning is demonstrated. Four subjects were measured in the sitting position to verify the system's functioning. The measurements demonstrated the system's capability to capture accurate cardiovascular data. Future work includes the validation of the measurement of the superior-inferior of the SCG signal against an established method such as echocardiography.

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Heart Rate Variability Analysis on Reference Heart Beats and Detected Heart Beats of Smartphone Seismocardiograms

Sieciński

Kostka

Tkacz

et al. 2019

Advances in Intelligent Systems and Computing

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Seismocardiography: waveform identification and noise analysis

Cited by 47 publications

References 1 publication

A new algorithm for segmentation of cardiac quiescent phases and cardiac time intervals using seismocardiography

A new algorithm for segmentation of cardiac quiescent phases and cardiac time intervals using seismocardiography

A Portable Measurement System for the Superior-Inferior Axis of the Seismocardiogram

Heart Rate Variability Analysis on Reference Heart Beats and Detected Heart Beats of Smartphone Seismocardiograms

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