Arterial pressure changes monitoring with a new precordial noninvasive sensor

Bombardini, Tonino; Gemignani, V.; Bianchini, Elisabetta; Venneri, Lucia; Petersen, C.; Pasanisi, Emilio; Pratali, Lorenza; Pianelli, Mascia; Faita, Francesco; Giannoni, Maria Fabrizia; Arpesella, Giorgio

doi:10.1186/1476-7120-6-41

Cited by 15 publications

(19 citation statements)

References 33 publications

(46 reference statements)

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“…Later, Bombardini et al utilized a force sensor to collect heart sound signals and carefully investigated the relationship between S2 and blood pressure in 146 patients. They found that the S2 recordings quantitatively documented the blood pressure changes and that the correlation coefficients between the amplitude of S2 and systolic, diastolic, and mean blood pressure were 0.544, 0.502, and 0.567, respectively [17]. Accordingly, it is possible to non-invasively estimate blood pressure from the heart sound signals.…”

Section: Methodsmentioning

confidence: 99%

Cuffless and Continuous Blood Pressure Estimation from the Heart Sound Signals

Peng

Yan

Zhang

et al. 2015

Sensors

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Cardiovascular disease, like hypertension, is one of the top killers of human life and early detection of cardiovascular disease is of great importance. However, traditional medical devices are often bulky and expensive, and unsuitable for home healthcare. In this paper, we proposed an easy and inexpensive technique to estimate continuous blood pressure from the heart sound signals acquired by the microphone of a smartphone. A cold-pressor experiment was performed in 32 healthy subjects, with a smartphone to acquire heart sound signals and with a commercial device to measure continuous blood pressure. The Fourier spectrum of the second heart sound and the blood pressure were regressed using a support vector machine, and the accuracy of the regression was evaluated using 10-fold cross-validation. Statistical analysis showed that the mean correlation coefficients between the predicted values from the regression model and the measured values from the commercial device were 0.707, 0.712, and 0.748 for systolic, diastolic, and mean blood pressure, respectively, and that the mean errors were less than 5 mmHg, with standard deviations less than 8 mmHg. These results suggest that this technique is of potential use for cuffless and continuous blood pressure monitoring and it has promising application in home healthcare services.

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Section: Methodsmentioning

confidence: 99%

Cuffless and Continuous Blood Pressure Estimation from the Heart Sound Signals

Peng

Yan

Zhang

et al. 2015

Sensors

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“…The RMS feature is correlated with the pulse area and waveform amplitude. This parameter reflects the cardiac and valve closure force [8].…”

Section: Discussionmentioning

confidence: 99%

An automatic method for arterial pulse waveform recognition using KNN and SVM classifiers

Pereira

Paiva

Correia

et al. 2015

Med Biol Eng Comput

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“…Consequently, muscular movements or vibrations from other sources can interfere in obtaining an accurate recording (Starr, ). However, non‐myocardial vibrations such as body and respiratory movement can be eliminated by frequency filtering and has been used with reasonable success (Bombardini et al ., ,b).…”

Section: Ballistocardiographymentioning

confidence: 97%

“…For an overview of ballistocardiograph annotations refer to Table . BCG can also be designed to simultaneously capture the heart's electrical activity producing an ECG QRS complex (Bombardini et al ., ,b). Figure provides an illustration of a simultaneous ECG and ballistocardiograph recording.…”

Section: Digital Ballistocardiographymentioning

confidence: 97%

See 1 more Smart Citation

Using ballistocardiography to measure cardiac performance: a brief review of its history and future significance

Vogt

MacQuarrie

Neary

2012

Clin Physio Funct Imaging

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Ballistocardiography (BCG) is a non-invasive technology that has been used to record ultra-low-frequency vibrations of the heart allowing for the measurement of cardiac cycle events including timing and amplitudes of contraction. Recent developments in BCG have made this technology simple to use, as well as time- and cost-efficient in comparison with other more complicated and invasive techniques used to evaluate cardiac performance. Recent technological advances are considerably greater since the advent of microprocessors and laptop computers. Along with the history of BCG, this paper reviews the present and future potential benefits of using BCG to measure cardiac cycle events and its application to clinical and applied research.

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Arterial pressure changes monitoring with a new precordial noninvasive sensor

Abstract: S2 recording quantitatively documents systemic pressure changes.

Cited by 15 publications

References 33 publications

Cuffless and Continuous Blood Pressure Estimation from the Heart Sound Signals

Cuffless and Continuous Blood Pressure Estimation from the Heart Sound Signals

An automatic method for arterial pulse waveform recognition using KNN and SVM classifiers

Using ballistocardiography to measure cardiac performance: a brief review of its history and future significance

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