Detection of ECG Fiducial Points using Moving Average Filters for Diagnosis of Cardiac Disease

被引：0

作者：

Choudhary, Shikha ^{[1
]}

Choudhary, Sunita ^{[2
]}

机构：

[1] REC Ambedkarnagar, Dept Elect Engn, Ambedkarnagar, UP, India

[2] IET Lucknow, Dept Biotechnol, Lucknow, Uttar Pradesh, India

来源：

2018 5TH IEEE UTTAR PRADESH SECTION INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONICS AND COMPUTER ENGINEERING (UPCON) | 2018年

关键词：

Sensitivity; Moving Average Filter; PositivePredictivity; Electrocardiogram; FEATURE-EXTRACTION; COMPLEX DETECTION; QRS; SIGNAL;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This paper is an approach to develop an easy, effective and robust algorithm for the detection of ECG fiducial points and thereby using the information provided by these fiducial points for the analysis of the patient's cardiac health. This algorithm makes use of Adaptive Thresholding and Moving Average Filters for QRS Complex detection. The identification of P-wave and T-wave is carried out by a simple search forward and backward procedure. The algorithm has been tested on several ECG data available on online database i.e. PhysioNet with sampling frequency ranging from 128Hz-1 KHz. The accuracy of this technique has been determined on the results obtained by two statistical parameters i.e.; Positive Predictivity (+P) and sensitivity(SE).

引用

页码：467 / 471

页数：5

共 50 条

[1] Detection of ECG Fiducial Points Using Recursive Estimation and Kalman Filtering
Avendano, Luis E.
Padilla, Jorge, I
Delgado-Trejos, Edilson
Cuesta-Frau, David
2020 COMPUTING IN CARDIOLOGY, 2020,
[2] EMD Method for Automatic ECG Fiducial Points Detection
Rezgui, Dhouha
Lachiri, Zied
2016 SECOND INTERNATIONAL IMAGE PROCESSING, APPLICATIONS AND SYSTEMS (IPAS), 2016,
[3] Fiducial Based Approach to ECG Biometrics Using Limited Fiducial Points
Tantawi, M.
Salem, A.
Tolba, Mohamed Fahmy
ADVANCED MACHINE LEARNING TECHNOLOGIES AND APPLICATIONS, AMLTA 2014, 2014, 488 : 199 - 210
[4] Detection of Fiducial Points in ECG Waves using Iteration based Adaptive Thresholds
Kang, Wonjune
Byun, Kyunguen
Kang, Hong-Goo
2015 37TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2015, : 2721 - 2724
[5] High Frequency Noise Removal from ECG using Moving Average Filters
Pandey, Vishakha
Giri, V. K.
2016 INTERNATIONAL CONFERENCE ON EMERGING TRENDS IN ELECTRICAL ELECTRONICS & SUSTAINABLE ENERGY SYSTEMS (ICETEESES), 2016, : 191 - 195
[6] GPS fault detection and exclusion using moving average filters
Tsai, YH
Chang, FR
Yang, WC
IEE PROCEEDINGS-RADAR SONAR AND NAVIGATION, 2004, 151 (04) : 240 - 247
[7] Adaptive Mathematical Morphology for QRS Fiducial Points Detection in the ECG
Yazdani, Sasan
Vesin, Jean-Marc
2014 COMPUTING IN CARDIOLOGY CONFERENCE (CINC), VOL 41, 2014, 41 : 725 - 728
[8] Detection of Change Points in Time Series with Moving Average Filters and Wavelet Transform: Application to EEG Signals
Kekovic, G.
Sekulic, S.
NEUROPHYSIOLOGY, 2019, 51 (01) : 2 - 8
[9] Detection of Change Points in Time Series with Moving Average Filters and Wavelet Transform: Application to EEG Signals
G. Keković
S. Sekulić
Neurophysiology, 2019, 51 : 2 - 8
[10] Implementing Moving Average Filters Using Recursion
Engelberg, Shlomo
IEEE SIGNAL PROCESSING MAGAZINE, 2023, 40 (07) : 78 - 80

← 1 2 3 4 5 →