A non-invasive approach to investigation of ventricular blood pressure using cardiac sound features

Tang, Hong; Zhang, Jinghui; Chen, Huaming; Mondal, Ashok; Park, Yongwan

doi:10.1088/1361-6579/aa552a

Cited by 7 publications

(5 citation statements)

References 26 publications

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“…The ECG parameters in this study were comparable with previously reported values in conscious healthy Beagles [49,50], while PCG parameters were similar to published reports in healthy dogs [51]. In the previous studies, it was reported that heart sound is correlated with the left ventricular systolic blood pressure and cardiac output [52,53]. The use of digital PCG allows a visual and measurable description of heart sounds and murmurs in dogs that can be valuable in disease diagnosis [51,[54][55][56].…”

Section: Discussionsupporting

confidence: 89%

Use of proposed systolic and myocardial performance indices derived from simultaneous ECG and PCG recordings to assess cardiac function in healthy Beagles

et al. 2022

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Background and Aim: Cardiac time intervals (CTIs) can provide important information on the electrical and mechanical properties of the heart. We hypothesized that cardiac function can be described using the combined power of electrocardiography (ECG) and phonocardiography (PCG) signals. This study aimed to (1) validate a novel custom device in measuring CTI parameters; (2) compare CTI parameters with a commercially available device and standard transthoracic echocardiography (STE); and (3) compare calculated systolic performance index (SPI) and myocardial performance index (MPI) with Tei index from the STE. Materials and Methods: This study determined CTIs based on simultaneous ECG and PCG recordings in 14 healthy Beagle dogs using the custom-built device. These CTI parameters were compared with a commercially available device (Eko DUO ECG + Digital Stethoscope; Eko DUO) and the STE. Agreement of CTI parameters between the custom device and the commercially available device or STE was evaluated. Calculated SPI and MPI based on Wigger's diagram were proposed, compared with SPI and Tei index, and correlated with STE parameters. Results: We found that the ECG and PCG parameters measured from the custom-built device did not differ from the commercially available device and the STE. By combining ECG and PCG signals, we established CTI parameters in healthy dogs including indices for systolic function (SPI: QS1/S1S2) and global cardiac function {F1 ([QS1+S2]/S1S2), F2 ([RS1+S2]/S1S2), and F3 (RS1 + [QS2-QT]/S1S2)}. The SPI, F2, and F3 were comparable with echocardiographic parameters describing systolic (Pre-ejection period/left ventricular ejection time [LVET]) and Tei index ([MCOdur-LVET]/ LVET), respectively. Only SPI and F3 were correlated significantly with MCOdur and heart rate, respectively. Conclusion: We have validated the use of the custom-built device to describe CTIs that are comparable to the commercially available device and STE in healthy Beagles. The proposed SPI and MPI derived from CTI parameters can be useful in clinical practice to describe the cardiac function, especially in areas where access to STE is constrained.

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Section: Discussionsupporting

confidence: 89%

Use of proposed systolic and myocardial performance indices derived from simultaneous ECG and PCG recordings to assess cardiac function in healthy Beagles

et al. 2022

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“…Herein, we want to demonstrate that our soft EMAC sensing tattoo is capable of continuous BP estimation. So far, quite a few papers have mentioned the correlation between the STI and BP . Tang and co‐workers have noticed a strong negative correlation between systolic blood pressure (SBP) and systole through measurements on six subjects using a conventional ECG sensor and a microphone for PCG.…”

Section: Resultsmentioning

confidence: 99%

“…They stated that exercise elevated the heart rate and cardiac muscle contractility in the first phase, which would result in shorter valve closure time intervals . In later work, they conducted animal experiments to investigate the correlation between the systole (RAC) and the blood pressure of the left ventricle (LVBP) . The variation of BP, which ranged from 90 to 282 mmHg, controlled by different doses of epinephrine, was measured by an invasive catheter inserted into the left ventricle.…”

Section: Resultsmentioning

confidence: 99%

“…However, all previous sensors involved rigid components such as MEMS accelerometers, rigid metal electrodes, and piezoelectric ceramics. [49] The variation of BP, which ranged from 90 to 282 mmHg, controlled by different doses of epinephrine, was measured by an invasive catheter inserted into the left ventricle. So far, quite a few papers have mentioned the correlation between the STI and BP.…”

Section: Correlation Between Hemodynamic Parameters and Bpmentioning

confidence: 99%

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A Chest‐Laminated Ultrathin and Stretchable E‐Tattoo for the Measurement of Electrocardiogram, Seismocardiogram, and Cardiac Time Intervals

et al. 2019

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Seismocardiography (SCG) is a measure of chest vibration associated with heartbeats. While skin soft electronic tattoos (e‐tattoos) have been widely reported for electrocardiogram (ECG) sensing, wearable SCG sensors are still based on either rigid accelerometers or non‐stretchable piezoelectric membranes. This work reports an ultrathin and stretchable SCG sensing e‐tattoo based on the filamentary serpentine mesh of 28‐µm‐thick piezoelectric polymer, polyvinylidene fluoride (PVDF). 3D digital image correlation (DIC) is used to map chest vibration to identify the best location to mount the e‐tattoo and to investigate the effects of substrate stiffness. As piezoelectric sensors easily suffer from motion artifacts, motion artifacts are effectively reduced by performing subtraction between a pair of identical SCG tattoos placed adjacent to each other. Integrating the soft SCG sensor with a pair of soft gold electrodes on a single e‐tattoo platform forms a soft electro‐mechano‐acoustic cardiovascular (EMAC) sensing tattoo, which can perform synchronous ECG and SCG measurements and extract various cardiac time intervals including systolic time interval (STI). Using the EMAC tattoo, strong correlations between STI and the systolic/diastolic blood pressures, are found, which may provide a simple way to estimate blood pressure continuously and noninvasively using one chest‐mounted e‐tattoo.

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“…Therefore, heart sound analysis is an important means of non-invasive detection of cardiovascular disease. It has become one of the effective methods for clinical diagnosis of the cardiac disease [1].…”

Section: Introductionmentioning

confidence: 99%

Heart Sound Signal Classification Algorithm: A Combination of Wavelet Scattering Transform and Twin Support Vector Machine

et al. 2019

IEEE Access

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By classifying the heart sound signals, it can provide very favorable clinical information to the diagnosis of cardiovascular diseases. According to the characteristics of heart sound signals which are complex and difficult to classify and recognize, a new method of feature extraction and classification about heart sound signal is proposed by a combination of wavelet scattering transform and twin support vector machine in this paper. The method is as follows: The heart sound signal data set is firstly divided into two parts, one as a training set and the other as a testing set. Then the wavelet scattering transform is applied to the heart sound signals in the training set and the testing set. The scattering transform is a new timefrequency analysis method. It overcomes the shortcomings of the traditional wavelet transform which has the time-shift changes. It has the advantages of translation invariance and elastic deformation stability. Thus obtain the scattering feature matrix of the heart sound signal. Due to the large dimension of scattering feature matrix, this paper uses multidimensional scaling (MDS) method to reduce the dimension. This method is compared with the classical dimension reduction method-principal component analysis (PCA). Finally, the dimensionality-reduced feature matrix is input into the twin support vector machine (TWSVM) for training. After training the classifier to get the optimal parameters, the dimensionality-reduced scattering feature matrix of the testing signal is input into the classifier for testing. Experimental results show that the classification accuracy of the proposed method can reach 98% or more, and the running time is greatly reduced compared with support vector machine (SVM). INDEX TERMS Wavelet scattering transform, multidimensional scaling (MDS), twin support vector machine (TWSVM), signal classification.

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A non-invasive approach to investigation of ventricular blood pressure using cardiac sound features

Cited by 7 publications

References 26 publications

Use of proposed systolic and myocardial performance indices derived from simultaneous ECG and PCG recordings to assess cardiac function in healthy Beagles

Use of proposed systolic and myocardial performance indices derived from simultaneous ECG and PCG recordings to assess cardiac function in healthy Beagles

A Chest‐Laminated Ultrathin and Stretchable E‐Tattoo for the Measurement of Electrocardiogram, Seismocardiogram, and Cardiac Time Intervals

Heart Sound Signal Classification Algorithm: A Combination of Wavelet Scattering Transform and Twin Support Vector Machine

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