Automated detection of the onset and systolic peak in the pulse wave using Hilbert transform

Physikalisch-Technische Bundesanstalt (PTB) database is electrocardiograms (ECGs) set from healthy volunteers and patients with different heart diseases. PTB is provided for research and teaching purposes by National Metrology Institute of Germany. The analysis method of complex QRS in ECG signals for diagnosis of heart disease is extremely important. In this article, a method on Shannon energy (SE) in order to detect QRS complex in 12 leads of ECG signal is provided. At first, this algorithm computes the Shannon energy (SE) and then makes an envelope of Shannon energy (SE) by using the defined threshold. Then, the signal peaks are determined. The efficiency of the algorithm is tested on 70 cases. Of all 12 standard leads, ECG signals include 840 leads of the PTB Diagnostic ECG Database (PTBDB). The algorithm shows that the Shannon energy (SE) sensitivity is equal to 99.924%, the detection error rate (DER) is equal to 0.155%, Positive Predictivity (+P) is equal to 99.922%, and Classification Accuracy (Acc) is equal to 99.846%.

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“…[ 25 ]. After band-pass filter, the signal is normalized with ( 1 ) in stage 1 [ 26 ].

where a [ n ] is a normalized amplitude; f [ n ] is an after processes band-pass filter (BPF).…”

Section: Methodsmentioning

confidence: 99%

Shannon’s Energy Based Algorithm in ECG Signal Processing

Beyramienanlou

Lotfivand

2017

Computational and Mathematical Methods in Medicine

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“…The photoplethysmography (PPG) is a simple, inexpensive and non‐invasive optical technique for recording and monitoring blood volume in tissue as a function of time [1–7]. The PPG signal is used in many clinical applications such as cardiovascular monitoring, vascular assessment, and autonomic function assessment.…”

Section: Introductionmentioning

confidence: 99%

“…The PPG signal is used in many clinical applications such as cardiovascular monitoring, vascular assessment, and autonomic function assessment. The PPG waveform may consist of five distinct characteristic points such as the pulse onset, the systolic peak (or the percussion peak), the tidal wave, the dicrotic notch (or the incisura wave), and the dicrotic wave peak [5–7]. The pulse onset represents minimum blood volume changes, which indicates the beginning of ventricular contraction and ejection of blood into the aorta (early systole).…”

Section: Introductionmentioning

confidence: 99%

“…Many methods were presented based on different signal processing techniques [5–16]. Most methods include three major stages: (i) preprocessing stage for removal of background noises; (ii) candidate feature (or envelope waveform) extraction stage; and (iii) peak finding stage.…”

Section: Introductionmentioning

confidence: 99%

“…The pulse peaks were identified based on the analysis of the slope, amplitude, and width. In [7], the fourth‐order Chebyshev type I bandpass filter was designed with a bandwidth of 0.5–16 Hz to remove the noise and baseline distortion in the PPG signals. The Shannon energy envelope was extracted from the normalised filtered PPG signal.…”

Section: Introductionmentioning

confidence: 99%

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Use of zero‐frequency resonator for automatically detecting systolic peaks of photoplethysmogram signal

Vadrevu

Manikandan

2019

Healthcare Technology Letters

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This work investigates the application of zero-frequency resonator (ZFR) for detecting systolic peaks of photoplethysmogram (PPG) signals. Based on the authors’ studies, they propose an automated noise-robust method, which consists of the central difference operation, the ZFR, the mean subtraction and averaging, the peak determination, and the peak rejection/acceptance rule. The method is evaluated using different kinds of PPG signals taken from the standard MIT-BIH polysomnographic database and Complex Systems Laboratory database and the recorded PPG signals at their Biomedical System Lab. The method achieves an average sensitivity (Se) of 99.95%, positive predictivity (Pp) of 99.89%, and overall accuracy (OA) of 99.84% on a total number of 116,673 true peaks. Evaluation results further demonstrate the robustness of the ZFR-based method for noisy PPG signals with a signal-to-noise ratio (SNR) ranging from 30 to 5 dB. The method achieves an average Se = 99.76%, Pp = 99.84%, and OA = 99.60% for noisy PPG signals with a SNR of 5 dB. Various results show that the method yields better detection rates for both noise-free and noisy PPG signals. The method is simple and reliable as compared with the complexity of signal processing techniques and detection performance of the existing detection methods.

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A Robust Method to Reliable Cardiac QRS Complex Detection Based on Shannon Energy and Teager Energy Operator

Beyramienanlou

2020

Circuits Syst Signal Process

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Automated detection of the onset and systolic peak in the pulse wave using Hilbert transform

Cited by 28 publications

References 24 publications

Shannon’s Energy Based Algorithm in ECG Signal Processing

Shannon’s Energy Based Algorithm in ECG Signal Processing

Use of zero‐frequency resonator for automatically detecting systolic peaks of photoplethysmogram signal

A Robust Method to Reliable Cardiac QRS Complex Detection Based on Shannon Energy and Teager Energy Operator

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