Advancement on Automatic Blood Pressure Measurement Using Auscultatory Method: A Literature Review

Naufal, Dziban; Rajab, Tati Latifah Erawati; Setiawan, Andri

doi:10.1109/iceei47359.2019.8988852

Cited by 5 publications

(1 citation statement)

References 23 publications

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“…Blood pressure monitoring that makes use of Korotko sound (KS) has been widely utilized to detect potential hypertension in patients [1][2][3]. KS enables shorter test duration, simple processing, and strong anti-interference capabilities and has clear signal characteristics.…”

Section: Introductionmentioning

confidence: 99%

A Study on the Association between Korotkoff Sound Signaling and Chronic Heart Failure (CHF) Based on Computer-Assisted Diagnoses

Zhang

Wang

Zhou

et al. 2022

Journal of Healthcare Engineering

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Background. Korotkoff sound (KS) is an important indicator of hypertension when monitoring blood pressure. However, its utility in noninvasive diagnosis of Chronic heart failure (CHF) has rarely been studied. Purpose. In this study, we proposed a method for signal denoising, segmentation, and feature extraction for KS, and a Bayesian optimization-based support vector machine algorithm for KS classification. Methods. The acquired KS signal was resampled and denoised to extract 19 energy features, 12 statistical features, 2 entropy features, and 13 Mel Frequency Cepstrum Coefficient (MFCCs) features. A controlled trial based on the VALSAVA maneuver was carried out to investigate the relationship between cardiac function and KS. To classify these feature sets, the K-Nearest Neighbors (KNN), decision tree (DT), Naive Bayes (NB), ensemble (EM) classifiers, and the proposed BO-SVM were employed and evaluated using the accuracy (Acc), sensitivity (Se), specificity (Sp), Precision (Ps), and F1 score (F1). Results. The ALSAVA maneuver indicated that the KS signal could play an important role in the diagnosis of CHF. Through comparative experiments, it was shown that the best performance of the classifier was obtained by BO-SVM, with Acc (85.0%), Se (85.3%), and Sp (84.6%). Conclusions. In this study, a method for noise reduction, segmentation, and classification of KS was established. In the measured data set, our method performed well in terms of classification accuracy, sensitivity, and specificity. In light of this, we believed that the methods described in this paper can be applied to the early, noninvasive detection of heart disease as well as a supplementary monitoring technique for the prognosis of patients with CHF.

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Section: Introductionmentioning

confidence: 99%

A Study on the Association between Korotkoff Sound Signaling and Chronic Heart Failure (CHF) Based on Computer-Assisted Diagnoses

Zhang

Wang

Zhou

et al. 2022

Journal of Healthcare Engineering

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B³X: a novel efficient algorithm for accurate automated auscultatory blood pressure estimation

Centracchio,

De Caro,

Bifulco

et al. 2023

Physiol. Meas.

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Objective. The auscultatory technique is still considered the most accurate method for non-invasive blood pressure (NIBP) measurement, although its reliability depends on operator’s skills. Various methods for automated Korotkoff sounds analysis have been proposed for reliable estimation of systolic (SBP) and diastolic (DBP) blood pressures. To this aim, very complex methodologies have been presented, including some based on artificial intelligence (AI). This study proposes a relatively simple methodology, named B3X, to estimate SBP and DBP by processing Korotkoff sounds recordings acquired during an auscultatory NIBP measurement. Approach. The beat-by-beat change in morphology of adjacent Korotkoff sounds is evaluated via their cross-correlation. The time series of the beat-by-beat cross-correlation and its first derivative are analyzed to locate the timings of SBP and DBP values. Extensive tests were performed on a public database of 350 annotated measurements, and the performance was evaluated according to the BHS, AAMI/ANSI, and ISO quality standards. Main results. The proposed approach achieved “A” scores for SBP and DBP in the BHS grading system, and passed the quality tests of AAMI/ANSI and ISO standards. The B3X algorithm outperformed two well-established algorithms for oscillometric NIBP measurement in both SBP and DBP estimation. It also outperformed four AI-based algorithms in DBP estimation, while providing comparable performance for SBP, at the cost of a much lower computational burden. The full code of the B3X algorithm is provided in a public repository. Significance. The very good performances ensured by the proposed B3X algorithm, at a low computational cost and without the need for parameter training, support its direct implementation into clinical blood pressure monitoring devices. The results of this study pave the way for solving/overcoming the trade-off between the accuracy of the auscultatory technique and the objectivity of oscillatory measurements, by bringing an automated auscultatory blood pressure measurement method in clinical practice.

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The Design of Korotkoff Sound Detection Using Amplitude Parameter and Oscillation Beat to Estimate Non-invasive Blood Pressure

Pratiwi,

Setiawan,

Naufal

et al. 2023

2023 International Seminar on Intelligent Technology and Its Applications (ISITIA)

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Advancement on Automatic Blood Pressure Measurement Using Auscultatory Method: A Literature Review

Cited by 5 publications

References 23 publications

A Study on the Association between Korotkoff Sound Signaling and Chronic Heart Failure (CHF) Based on Computer-Assisted Diagnoses

A Study on the Association between Korotkoff Sound Signaling and Chronic Heart Failure (CHF) Based on Computer-Assisted Diagnoses

B³X: a novel efficient algorithm for accurate automated auscultatory blood pressure estimation

The Design of Korotkoff Sound Detection Using Amplitude Parameter and Oscillation Beat to Estimate Non-invasive Blood Pressure

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Advancement on Automatic Blood Pressure Measurement Using Auscultatory Method: A Literature Review

Cited by 5 publications

References 23 publications

A Study on the Association between Korotkoff Sound Signaling and Chronic Heart Failure (CHF) Based on Computer-Assisted Diagnoses

A Study on the Association between Korotkoff Sound Signaling and Chronic Heart Failure (CHF) Based on Computer-Assisted Diagnoses

B3X: a novel efficient algorithm for accurate automated auscultatory blood pressure estimation

The Design of Korotkoff Sound Detection Using Amplitude Parameter and Oscillation Beat to Estimate Non-invasive Blood Pressure

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B³X: a novel efficient algorithm for accurate automated auscultatory blood pressure estimation