Application of wavelet transform and Shannon energy on R peak detection algorithm

2016 ◽  
Author(s):  
Nantarika Thiamchoo ◽  
Pornchai Phukpattaranont
Keyword(s):  
Wavelet Transform ◽  
Detection Algorithm ◽  
Peak Detection ◽  
Peak Detection Algorithm ◽  
Shannon Energy

scholarly journals R Peak Detection Algorithm based on Continuous Wavelet Transform and Shannon Energy

2017 ◽  
Vol 10 (2) ◽  
pp. 167-175 ◽  
Author(s):  
Nantarika Thiamchoo ◽  
Pornchai Phukpattaranont
Keyword(s):  
Cardiovascular Disease ◽  
Wavelet Transform ◽  
Continuous Wavelet Transform ◽  
Detection Algorithm ◽  
Peak Detection ◽  
Continuous Wavelet ◽  
Qrs Complex ◽  
Peak Detection Algorithm ◽  
Shannon Energy ◽  
Ecg Data

The R peak detection algorithm is a necessary tool for monitoring and diagnosing the cardiovascular disease. This paper presents the R peak detection algorithm based on continuous wavelet transform (CWT) and Shannon energy. We evaluate the proposed algorithm with the 48 record of ECG data from MIT-BIH arrhythmia database. Results show that the proposed algorithm gives very good DER (0.48%-0.50%) compared to those from previous publications (0.168%-0.87%). We demonstrated that the use of the CWT with a single scaling parameter is capable of removing noises. In addition, we found that Shannon energy cannot improve the DER value but it can highlight the R peak from the low QRS complex in ECG beat leading to the improvement in the robustness of the R peak detection algorithm.

Fiber Bragg Grating Spectrum Peak-Detection Algorithm Based on Difference of Gaussian

2021 ◽  
Vol 58 (7) ◽  
pp. 0706002
Author(s):  
蔺彦章 Lin Yanzhang ◽  
刘毅 Liu Yi ◽  
潘玉恒 Pan Yuheng ◽  
李国燕 Li Guoyan
Keyword(s):  
Fiber Bragg Grating ◽  
Detection Algorithm ◽  
Peak Detection ◽  
Bragg Grating ◽  
Peak Detection Algorithm ◽  
Difference Of Gaussian

Research of Peak-Detection Algorithm Based on Absolute Wavelength Calibration of Excimer Laser

2018 ◽  
Vol 45 (7) ◽  
pp. 0701003
Author(s):  
袁靖超 Yuan Jingchao ◽  
赵江山 Zhao Jiangshan ◽  
李慧 Li Hui ◽  
刘广义 Liu Guangyi
Keyword(s):  
Excimer Laser ◽  
Detection Algorithm ◽  
Peak Detection ◽  
Wavelength Calibration ◽  
Peak Detection Algorithm

scholarly journals Low Resource Complexity R-peak Detection Based on Triangle Template Matching and Moving Average Filter

Sensors ◽  
2019 ◽  
Vol 19 (18) ◽  
pp. 3997 ◽  
Author(s):  
Tam Nguyen ◽  
Xiaoli Qin ◽  
Anh Dinh ◽  
Francis Bui
Keyword(s):  
Template Matching ◽  
Moving Average ◽  
Detection Algorithm ◽  
Peak Detection ◽  
Moving Average Filter ◽  
Ecg Signals ◽  
Low Resource ◽  
Peak Detection Algorithm ◽  
Robustness To Noise ◽  
Average Filter

A novel R-peak detection algorithm suitable for wearable electrocardiogram (ECG) devices is proposed with four objectives: robustness to noise, low latency processing, low resource complexity, and automatic tuning of parameters. The approach is a two-pronged algorithm comprising (1) triangle template matching to accentuate the slope information of the R-peaks and (2) a single moving average filter to define a dynamic threshold for peak detection. The proposed algorithm was validated on eight ECG public databases. The obtained results not only presented good accuracy, but also low resource complexity, all of which show great potential for detection R-peaks in ECG signals collected from wearable devices.

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