Dicrotic notch detection using wavelet transform analysis

Antonelli, Lynn T.; Ohley, William J.; Khamlach, R.

doi:10.1109/iembs.1994.415400

Cited by 14 publications

(7 citation statements)

References 4 publications

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“…( 15 ). Its location corresponds to the closure of the aortic valve and subsequent retrograde blood flow, and can be used to monitor cardiac function [ 64 , 65 ].…”

Section: Ppg Features and Its Applicationsmentioning

confidence: 99%

On the Analysis of Fingertip Photoplethysmogram Signals

Elgendi

2012

CCR

917

609

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Photoplethysmography (PPG) is used to estimate the skin blood flow using infrared light. Researchers from different domains of science have become increasingly interested in PPG because of its advantages as non-invasive, inexpensive, and convenient diagnostic tool. Traditionally, it measures the oxygen saturation, blood pressure, cardiac output, and for assessing autonomic functions. Moreover, PPG is a promising technique for early screening of various atherosclerotic pathologies and could be helpful for regular GP-assessment but a full understanding of the diagnostic value of the different features is still lacking. Recent studies emphasise the potential information embedded in the PPG waveform signal and it deserves further attention for its possible applications beyond pulse oximetry and heart-rate calculation. Therefore, this overview discusses different types of artifact added to PPG signal, characteristic features of PPG waveform, and existing indexes to evaluate for diagnoses.

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“…( 15 ). Its location corresponds to the closure of the aortic valve and subsequent retrograde blood flow, and can be used to monitor cardiac function [ 64 , 65 ].…”

Section: Ppg Features and Its Applicationsmentioning

confidence: 99%

On the Analysis of Fingertip Photoplethysmogram Signals

Elgendi

2012

CCR

917

609

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“…Aortic notch or Dicrotic notch is a small downward deflection in the arterial pulse that separates systolic and diastolic phase. It is observed in the aortic pressure signal as a consequence of closing of aortic valve [5].…”

Section: Introductionmentioning

confidence: 99%

Novel Notch Detection Algorithm for Detection of Dicrotic Notch in PPG Signals

Nara¹,

Kaur²,

Verma³

2014

IJCA

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Photoplethysmography (PPG) is a non-invasive optical technique that measures relative blood volume changes in the blood vessels and is widely used for research and physiological studies. Dicrotic notch represent the closure of the aortic semi-lunar valve and subsequent receding blood flow when ventricles relax. Their location is used to calculate systolic time intervals and monitor cardiac function. They play a significant role in early evaluation of various diseases such as sclerosis, occlusion, arterial spasm etc. This paper proposes a novel Notch Detection Algorithm (NDA) for detection of dicrotic notches from PPG signal that are measured by non-invasive photoplethysmography sensors. The proposed algorithm is implemented with the help of self developed Graphical User Interface (GUI) in MATLAB.

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“…To assist computerized analysis, many beat detectors have been reported for characterizing ABP waveforms in the literature. Most of the reported detectors paid major attention on systolic peaks and the onsets or dicrotic notches only [1][2][3][4]. Although the onset of ABP pulse denotes the arrival of the arterial pressure pulse at the recording site, the majority of the ABP pulse and pulse-component detection methods identify the peak of the ABP waveform as the fiducial mark of the ABP pulse [1,[5][6][7].…”

Section: Introductionmentioning

confidence: 99%

“…There are comparatively fewer systems and algorithms dedicated to the full delineation of ABP waveforms [9]. Many beat detectors have also been reported for characterizing ABP waveforms in the literature [1][2][3][4][10][11][12][13]. Aboy et al [4] described a new automatic beat detection algorithm that can be used to detect the percussion component in intracranial pressure (ICP) signals and the systolic peak in ABP and pulse oximetry (SpO 2 ) signals.…”

Section: Introductionmentioning

confidence: 99%

Empirical wavelet transform-based delineator for arterial blood pressure waveforms

Singh

Sunkaria

2016

Bio-Algorithms and Med-Systems

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Arterial blood pressure (ABP) waveforms provide plenty of pathophysiological information about the cardiovascular system. ABP pulse analysis is a routine process used to investigate the health status of the cardiovascular system. ABP pulses correspond to the contraction and relaxation phenomena of the human heart. The contracting or pumping phase of the cardiac chamber corresponds to systolic pressure, whereas the resting or filling phase of the cardiac chamber corresponds to diastolic pressure. An ABP waveform commonly comprises systolic peak, diastolic onset, dicrotic notch, and dicrotic peak. Automatic ABP delineation is extremely important for various biomedical applications. In this paper, a delineator for onset and systolic peak detection in ABP signals is presented. The algorithm uses a recently developed empirical wavelet transform (EWT) for the delineation of arterial blood pulses. EWT is a new mathematical tool used to decompose a given signal into different modes and is based on the design of an adaptive wavelet filter bank. The performance of the proposed delineator is evaluated and validated over ABP waveforms of standard databases, such as the MIT-BIH Polysomnoghaphic Database, Fantasia Database, and Multiparameter Intelligent Monitoring in Intensive Care Database. In terms of pulse onset detection, the proposed delineator achieved an average error rate of 0.11%, sensitivity of 99.95%, and positive predictivity of 99.92%. In a similar manner for systolic peak detection, the proposed delineator achieved an average error rate of 0.10%, sensitivity of 99.96%, and positive predictivity of 99.92%.

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Dicrotic notch detection using wavelet transform analysis

Cited by 14 publications

References 4 publications

On the Analysis of Fingertip Photoplethysmogram Signals

On the Analysis of Fingertip Photoplethysmogram Signals

Novel Notch Detection Algorithm for Detection of Dicrotic Notch in PPG Signals

Empirical wavelet transform-based delineator for arterial blood pressure waveforms

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