PRAeCORDIAL BALLISTOCARDIOGRAPHY

Mounsey, Patrick

doi:10.1136/hrt.19.2.259

Cited by 49 publications

(39 citation statements)

References 10 publications

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“…Aortic valve closure (AC) is a very distinct feature of the SCG, making it easy to recognize. Patrick Mounsey who first described the SCG in detail proposed that the deflections could be caused by the heart moving towards its apex, as a consequence of the aortic valve closure [11]. Previous studies have shown that for elite athletes the ventricular relaxation is faster compared to normal healthy subjects [29,30].…”

Section: Link Between Scg and Cardiorespiratory Fitnessmentioning

confidence: 99%

“…Because of this we propose the seismocardiogram (SCG) is as modality for estimation of cardiac function. The SCG is a recording of the cardiac vibrations on the chest wall caused by the beating heart [11,12]. The accelerations produced when the heart contracts and relaxes are recorded with an accelerometer usually positioned on the xiphoid process [13].…”

Section: Introductionmentioning

confidence: 99%

“…The accelerations produced when the heart contracts and relaxes are recorded with an accelerometer usually positioned on the xiphoid process [13]. The first description of the SCG was by Mounsey in 1956 and the technique has since been investigated in different settings, although SCG is not used by clinicians today [11,13]. The fiducial points in the SCG signal are correlated to events such as heart valve opening and closings in the cardiac cycle [14].…”

Section: Introductionmentioning

confidence: 99%

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A Clinical Method for Estimation of VO2max Using Seismocardiography

et al. 2020

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The purpose of this study was to investigate the correlation between the seismocardiogram and cardiorespiratory fitness. Cardiorespiratory fitness can be estimated as VO2max using non-exercise algorithms, but the results can be inaccurate. Healthy subjects were recruited for this study. Seismocardiogram and electrocardiogram were recorded at rest. VO2max was measured during a maximal effort cycle ergometer test. Amplitudes and timing intervals were extracted from the seismocardiogram and used in combination with demographic data in a non-exercise prediction model for VO2max. 26 subjects were included, 17 females. Mean age: 38.3±9.1 years. The amplitude following the aortic valve closure derived from the seismocardiogram had a significant correlation of 0.80 (p<0.001) to VO2max. This feature combined with age, sex and BMI in the prediction model, yields a correlation to VO2max of 0.90 (p<0.001, 95% CI: 0.83–0.94) and a standard error of the estimate of 3.21 mL·kg−1·min−1 . The seismocardiogram carries information about the cardiorespiratory fitness. When comparing to other non-exercise models the proposed model performs better, even after cross validation. The model is limited when tracking changes in VO2max. The method could be used in the clinic for a more accurate estimation of VO2max compared to current non-exercise methods.

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Section: Link Between Scg and Cardiorespiratory Fitnessmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Clinical Method for Estimation of VO2max Using Seismocardiography

et al. 2020

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“…Seismocardiography (SCG) is a method for measurement of chest wall vibrations related to cardiac events [1]. Commonly, SCG involves measuring with an accelerometer on a single site on sternum, typically above the Xiphoid Process.…”

Section: Introductionmentioning

confidence: 99%

Visualization of the Multichannel Seismocardiogram

Munck¹,

Sørensen²,

Struijk³

et al. 2019

2019 Computing in Cardiology Conference (CinC)

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The multichannel seismocardiography (mchSCG) project aims to develop the technology and knowledge-base to understand the distribution of vibration waves on the chest wall caused by cardio-mechanic events. This study focuses on the developing visualization methods for the vibration waves based on the multi-dimensional map obtained with the mchSCG equipment. We investigated four visualization methods. Vibration signals were collected in a four by four grid with 16 three-axis accelerometers placed on the chest of 11 healthy males. The visualization methods were investigated for their abilities to show temporal, spatial, and directional information. Of the four methods the SCG chart shows best temporal and small amplitude sensitivity information. Color plots provides an improved spatial overview. Tracking maps provide good directionality. The seismic mesh method is good at showing spatial and directionality information. Dependent on which signal aspects are of interest, the four visualization methods have their specific suited purposes. These visualization methods can assist further investigation of the vibration waves behavior and its relation to cardio-mechanic events.

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“…Measurement of cardiac vibrations was performed as early as the start of the 20th century [ 7 ]. Many variations within this approach, such as vibrocardiography (VCG), kinetocardiography (KCG), ballistocardiography (BCG), cardiokymography (CKG), and apexcardiography have been described [ 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 ].…”

Section: Introductionmentioning

confidence: 99%

Time-Frequency Distribution of Seismocardiographic Signals: A Comparative Study

Taebi

Mansy

2017

Bioengineering

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Accurate estimation of seismocardiographic (SCG) signal features can help successful signal characterization and classification in health and disease. This may lead to new methods for diagnosing and monitoring heart function. Time-frequency distributions (TFD) were often used to estimate the spectrotemporal signal features. In this study, the performance of different TFDs (e.g., short-time Fourier transform (STFT), polynomial chirplet transform (PCT), and continuous wavelet transform (CWT) with different mother functions) was assessed using simulated signals, and then utilized to analyze actual SCGs. The instantaneous frequency (IF) was determined from TFD and the error in estimating IF was calculated for simulated signals. Results suggested that the lowest IF error depended on the TFD and the test signal. STFT had lower error than CWT methods for most test signals. For a simulated SCG, Morlet CWT more accurately estimated IF than other CWTs, but Morlet did not provide noticeable advantages over STFT or PCT. PCT had the most consistently accurate IF estimations and appeared more suited for estimating IF of actual SCG signals. PCT analysis showed that actual SCGs from eight healthy subjects had multiple spectral peaks at 9.20 ± 0.48, 25.84 ± 0.77, 50.71 ± 1.83 Hz (mean ± SEM). These may prove useful features for SCG characterization and classification.

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PRAeCORDIAL BALLISTOCARDIOGRAPHY

Cited by 49 publications

References 10 publications

A Clinical Method for Estimation of VO2max Using Seismocardiography

A Clinical Method for Estimation of VO2max Using Seismocardiography

Visualization of the Multichannel Seismocardiogram

Time-Frequency Distribution of Seismocardiographic Signals: A Comparative Study

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