The spatial vectorballistocardiogram

Tannenbaum, Oscar; Vesell, Harry; Schack, Jerome A.

doi:10.1016/0002-8703(54)90121-0

Cited by 5 publications

(1 citation statement)

References 14 publications

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“…This explains the differences in some BCG metrics between the first and second iteration of our procedure calculate the ζ i parameters (result not presented), thus justifying this iterative approach. Tridimensional BCG acc signals have not been extensively studied in the past, but the results presented in Figure 5B have a similar shape and amplitude as experimental records secured several decades ago on healthy subjects in supine position, with devices such as suspended beds (Tannenbaum et al, 1954;Soames and Atha, 1982). In particular, we observe that the longitudinal axis (y) of BCG acc is the one with the largest amplitude, followed by the anteroposterior axis (z) and the lateral axis (x).…”

Section: General Features Of the Simulated Ballistocardiography Signalssupporting

confidence: 75%

Closed-Loop Multiscale Computational Model of Human Blood Circulation. Applications to Ballistocardiography

et al. 2021

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Cardiac mechanical activity leads to periodic changes in the distribution of blood throughout the body, which causes micro-oscillations of the body’s center of mass and can be measured by ballistocardiography (BCG). However, many of the BCG findings are based on parameters whose origins are poorly understood. Here, we generate simulated multidimensional BCG signals based on a more exhaustive and accurate computational model of blood circulation than previous attempts. This model consists in a closed loop 0D-1D multiscale representation of the human blood circulation. The 0D elements include the cardiac chambers, cardiac valves, arterioles, capillaries, venules, and veins, while the 1D elements include 55 systemic and 57 pulmonary arteries. The simulated multidimensional BCG signal is computed based on the distribution of blood in the different compartments and their anatomical position given by whole-body magnetic resonance angiography on a healthy young subject. We use this model to analyze the elements affecting the BCG signal on its different axes, allowing a better interpretation of clinical records. We also evaluate the impact of filtering and healthy aging on the BCG signal. The results offer a better view of the physiological meaning of BCG, as compared to previous models considering mainly the contribution of the aorta and focusing on longitudinal acceleration BCG. The shape of experimental BCG signals can be reproduced, and their amplitudes are in the range of experimental records. The contributions of the cardiac chambers and the pulmonary circulation are non-negligible, especially on the lateral and transversal components of the velocity BCG signal. The shapes and amplitudes of the BCG waveforms are changing with age, and we propose a scaling law to estimate the pulse wave velocity based on the time intervals between the peaks of the acceleration BCG signal. We also suggest new formulas to estimate the stroke volume and its changes based on the BCG signal expressed in terms of acceleration and kinetic energy.

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Section: General Features Of the Simulated Ballistocardiography Signalssupporting

confidence: 75%

Closed-Loop Multiscale Computational Model of Human Blood Circulation. Applications to Ballistocardiography

et al. 2021

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The common origin of precordial vibrations

Agress¹,

Wegner²,

Bleifer³

et al. 1964

The American Journal of Cardiology

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Three-dimensional ballistocardiography in microgravity: A review of past research

Ridder

Migeotte

Neyt

et al. 2011

2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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This paper gives a short review of research on ballistocardiography in microgravity and indicates the benefits from this research for the use of BCG as a terrestrial cardiac monitoring system. In the past, 3-D methods required large devices to decouple the subject from the terrestrial environment and hence, BCG on Earth is usually limited to unidirectional recordings of the motion in the head-to-foot direction. However, microgravity provides a suspension-free environment where accelerations can be measured in all directions without the influence of gravity. Microgravity research indicated that along with the acceleration in the head-to-foot direction, the accelerations in the lateral and dorso-ventral direction are important in understanding the physiological forces during a cardiac cycle. Further, lung volume has a large influence on the transmission of cardiac forces to the surface of the body. To date, only the three separate components of the acceleration vector have been analyzed in 3-D BCG studies. Using the true acceleration and displacement vector (orientation and magnitude), rather than the three separate components, may permit more accurate cardiac event detection.

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The spatial vectorballistocardiogram

Cited by 5 publications

References 14 publications

Closed-Loop Multiscale Computational Model of Human Blood Circulation. Applications to Ballistocardiography

Closed-Loop Multiscale Computational Model of Human Blood Circulation. Applications to Ballistocardiography

The common origin of precordial vibrations

Three-dimensional ballistocardiography in microgravity: A review of past research

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