Ballistocardiography to identify high left atrial pressure in patients with heart failure

Zhang, Li; Cai, Peiwei; Deng, Yinlong; Lin, Jiumin; Chu, Zhengpei; Shi, Qingfeng; Ye, Fei; Hu, Junhao; Yang, Caiqin; Li, Pengyang; Zhuang, Shaochun; Wang, Bin

doi:10.21037/apm-21-1840

Cited by 3 publications

(7 citation statements)

References 40 publications

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“…evaluated the predictive value of the BCG‐B3 index, measured with a high‐precision fibre‐optic sensor on the back, to detect an estimated increased left atrial pressure derived from echo E/e′ ratio in HF patients, which is generally considered an early predictor of acute HF decompensation. In line with other studies, this study showed that BCG measurements are responsive to changes in left atrial pressure 18 …”

Section: Discussionsupporting

confidence: 93%

“…In line with other studies, this study showed that BCG measurements are responsive to changes in left atrial pressure. 18 The present study proved that the KCG is able to detect changes in fluid status between the decompensated and recompensated state in HF patients. From a physiological point of view, these results can be explained by changes in blood flow velocities during the active and passive filling phases of the cardiac cycle.…”

Section: Discussionsupporting

confidence: 66%

“…In line with other studies, this study showed that BCG measurements are responsive to changes in left atrial pressure. 18 …”

Section: Discussionmentioning

confidence: 99%

“…Measurement of triaxial SCG signals showed to be promising to detect changes in pulmonary artery mean pressure and pulmonary capillary wedge pressure in HF patients undergoing right heart catheterization under infusion of systemic vasodilators 17 . Also, uniaxial BCG signals, derived from a mattress‐like device, were able to identify high left atrial pressures in HF patients 18 . Recently, SCG and BCG have been combined in a portable device (kinocardiograph, KCG).…”

Section: Introductionmentioning

confidence: 99%

“… 17 Also, uniaxial BCG signals, derived from a mattress‐like device, were able to identify high left atrial pressures in HF patients. 18 Recently, SCG and BCG have been combined in a portable device (kinocardiograph, KCG). In contrast to other devices, the KCG records triaxial SCG and BCG signals, both in the linear and rotational angles, and provides a three‐dimensional overview of the accelerations produced by cardiac contraction and blood flowing though the vasculature.…”

Section: Introductionmentioning

confidence: 99%

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The kinocardiograph for assessment of fluid status in patients with acute decompensated heart failure

Herkert,

De Lathauwer,

van Leunen

et al. 2023

ESC Heart Failure

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AimsTo improve telemonitoring strategies in heart failure patients, there is a need for novel non‐obtrusive sensors that monitor parameters closely related to intracardiac filling pressures. This proof‐of‐concept study aims to evaluate the responsiveness of cardiac kinetic energy (KE) measured with the Kinocardiograph (KCG), consisting of a seismocardiographic (SCG) sensor and a ballistocardiographic (BCG) sensor, during treatment of patients with acute decompensated heart failure.Methods and resultsEleven patients with acute decompensated heart failure who were hospitalized for treatment with intravenous diuretics received daily KCG measurements. The KCG measurements were compared with the diameter of the inferior vena cava (IVC) and body weight. Follow‐up stopped at discharge, that is, in the recompensated state. Median (interquartile range) weight and IVC diameter decreased significantly after diuretic treatment [weight 74.5 (67.6–98.7) to 73.3 (66.7–95.6) kg, P = 0.003; IVC diameter 2.47 (2.33–2.99) to 1.78 (1.65–2.47) cm, P = 0.03]. In contrast with BCG measurements, significant changes in median KE measured with SCG were observed during the passive filling phase of the diastole [SGG: 0.48 (0.39–0.60) to 0.69 (0.56–0.84), P = 0.026; BCG: 0.68 (0.46–0.73) to 0.68 (0.59–0.82), P = 0.062], the active filling phase of the diastole [SCG: 0.38 (0.30–0.61) to 0.31 (0.09–0.47), P = 0.016; BCG: 0.29 (0.17–0.39) to 0.26 (0.20–0.34), P = 0.248], and the ratio between the passive and active filling phases [SCG: 2.76 (1.68–5.30) to 5.02 (3.13–10.17), P = 0.006; BCG: 5.87 (3.57–7.55) to 5.27 (3.95–9.43), P = 0.790]. The correlations between changes in KE during the passive and active filling phases, using SCG, and changes in weight or IVC were non‐significant. Systolic KE did not show significant changes.ConclusionKE measured with the KCG using SCG is highly responsive to changes in fluid status. Future research is needed to confirm its accuracy in a larger study population and specifically its application for detection of clinical deterioration in the home‐environment.

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Section: Discussionsupporting

confidence: 93%

Section: Discussionsupporting

confidence: 66%

“…In line with other studies, this study showed that BCG measurements are responsive to changes in left atrial pressure. 18 …”

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

The kinocardiograph for assessment of fluid status in patients with acute decompensated heart failure

Herkert,

De Lathauwer,

van Leunen

et al. 2023

ESC Heart Failure

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Using a non-invasive multi-sensor device to evaluate left atrial pressure: an estimated filling pressure derived from ballistocardiography

Zhang¹,

Cai²,

Deng³

et al. 2021

Ann Transl Med

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Background: Heart failure is a global health problem, and elevated left atrial pressure (LAP) is a precursor to identifying decompensated heart failure. At present, out-of-hospital monitoring of patients with heart failure is mostly based on the patient's symptoms and signs, and the use of non-invasive technology is scarce.In this study, a non-invasive ballistocardiography (BCG) device was used to collect thoracic vibration signals generated by heartbeat. We collected these signals from more than 1,000 adults, including those with different heart diseases, and used a sensor system and a composite index related to LAP recognition named the LAP-index, to analyze them. This study aimed to verify the reliability and accuracy of the LAP-index in identifying elevated LAP within heart failure patients.Methods: We prospectively included 158 patients with various extent of diastolic function, some of whom had various underlying diseases, and collected BCG and echocardiographic data using a cross-section methodology.The BCG signal was recorded from multiple optical fiber vibration sensors placed on the back of each patient. We adopted the 2016 ASE/EACVI echocardiography guideline as the standard for determining LAP level from echocardiography parameters. To evaluate the diagnostic efficacy of the LAP-index, we drew a receiver operating characteristic (ROC) curve and calculated the area under the ROC curve (AUC). Results:The LAP-index of the 158 patients ranged from 6 to 32. Of them, 39 were diagnosed as high LAP by echocardiography, and 119 cases had normal or slightly elevated LAP. Comparison of the LAP-index results and echocardiographic results revealed the ROC c-statistic of the LAP-index for identifying high LAP was 0.86 (95% CI: 0.79-0.93; P<0.0001). When the LAP-index was at the best cut-off value of 15.5, the positive agreement rate between it and echocardiography LAP was 0.85, the negative agreement rate was 0.80, and the overall agreement rate was 0.81. Conclusions:The sensor system and the LAP-index, a composite index derived from BCG, have high reliability and accuracy in identifying elevated LAP, which provides a novel possibility for the non-invasive detection of hemodynamic congestion in heart failure patients.

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Non-invasive monitoring of cardiac function through Ballistocardiogram: an algorithm integrating short-time Fourier transform and ensemble empirical mode decomposition

Feng,

Huang,

Jiang

et al. 2023

Front. Physiol.

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The Ballistocardiogram (BCG) is a vibration signal that is generated by the displacement of the entire body due to the injection of blood during each heartbeat. It has been extensively utilized to monitor heart rate. The morphological features of the BCG signal serve as effective indicators for the identification of atrial fibrillation and heart failure, holding great significance for BCG signal analysis. The IJK-complex identification allows for the estimation of inter-beat intervals (IBI) and enables a more detailed analysis of BCG amplitude and interval waves. This study presents a novel algorithm for identifying the IJK-complex in BCG signals, which is an improvement over most existing algorithms that only perform IBI estimation. The proposed algorithm employs a short-time Fourier transform and summation across frequencies to initially estimate the occurrence of the J wave using peak finding, followed by Ensemble Empirical Mode Decomposition and a regional search to precisely identify the J wave. The algorithm’s ability to detect the morphological features of BCG signals and estimate heart rates was validated through experiments conducted on 10 healthy subjects and 2 patients with coronary heart disease. In comparison to commonly used methods, the presented scheme ensures accurate heart rate estimation and exhibits superior capability in detecting BCG morphological features. This advancement holds significant value for future applications involving BCG signals.

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Ballistocardiography to identify high left atrial pressure in patients with heart failure

Cited by 3 publications

References 40 publications

The kinocardiograph for assessment of fluid status in patients with acute decompensated heart failure

The kinocardiograph for assessment of fluid status in patients with acute decompensated heart failure

Using a non-invasive multi-sensor device to evaluate left atrial pressure: an estimated filling pressure derived from ballistocardiography

Non-invasive monitoring of cardiac function through Ballistocardiogram: an algorithm integrating short-time Fourier transform and ensemble empirical mode decomposition

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