Electrocardiogram identification: Use a simple set of features in QRS complex to identify individuals

QR Code

Electrocardiogram identification: Use a simple set of features in QRS complex to identify individuals

This paper presents a Multilayer Perception Neural Network developed to identify human subjects using electrocardiogram (ECG) signals. We use the amplitude values of Q, R and S as a features for our experiments. In this study, a total of 87 dataset were collected among 14 subjects from the Physik...

Full description

Bibliographic Details
Main Authors:	, Tuerxunwaili, Mohd Nor, Rizal, Abdul Rahman, Abdul Wahab, Sidek, Khairul Azami, Ibrahim, Adamu Abubakar
Format:	Proceeding Paper
Language:	English English
Published:	Springer International Publishing 2016
Subjects:	TK7885 Computer engineering
Online Access:	http://irep.iium.edu.my/60818/ http://irep.iium.edu.my/60818/9/60818-Electrocardiogram%20Identification-Use%20a%20simple.pdf http://irep.iium.edu.my/60818/8/60818-Electrocardiogram%20identification-SCOPUS.pdf

Similar Items

Cardioid graph based ECG biometric using compressed QRS complex
by: Iqbal, Fatema-tuz-Zohra, et al.
Published: (2015)

ECG biometric recognition in different physiological conditions using robust normalized QRS complexes
by: Sidek, Khairul Azami, et al.
Published: (2012)

ECG biometric recognition in different physiological conditions using robust normalized QRS complexes
by: Sidek, Khairul Azami, et al.
Published: (2012)

Simple and efficient multibiometric technique for subject recognition using multilead electrocardiogram signal
by: Sidek, Khairul Azami, et al.
Published: (2013)

Real time electrocardiogram identification with multi-modal machine learning algorithms
by: Waili, Tuerxun, et al.
Published: (2017)

Automobile driver recognition under different physiological conditions using the electrocardiogram
by: Sidek, Khairul Azami, et al.
Published: (2011)

Development of an electrocardiogram based biometric identification system: a case study in the university
by: Mohammed Nadzri, Nur Izzati, et al.
Published: (2016)

Development of a driver drowsiness monitoring system using electrocardiogram
by: Nor Shahrudin, Nur Shahirah, et al.
Published: (2018)

Biometric sample extraction using Mahalanobis distance in cardioid based graph using electrocardiogram signals
by: Sidek, Khairul Azami, et al.
Published: (2012)

Influence of the Main Filter on QRS-amplitude and Duration in Human Electrocardiogram.
by: Vranic, I., et al.
Published: (2019)

Electrocardiogram (ECG) based stress recognition integrated with different classification of age and gender
by: Nor Shahrudin, Nur Shahirah, et al.
Published: (2019)

An efficient method for fetal electrocardiogram extraction from the abdominal electrocardiogram signal
by: Hasan, Muhammad Asfarul, et al.
Published: (2009)

Cardioid graph based ECG biometric in varying physiological conditions using compressed QRS
by: Mohd Azam, Siti Nurfarah Ain, et al.
Published: (2020)

Non-contact electrocardiogram (ECG) smart chair for ST segment elevation myocardial infarction detect
by: Wali, Tuerxun, et al.
Published: (2016)

Compressed ECG biometric using cardioid graph based feature extraction
by: Iqbal, Fatema-tuz-Zohra, et al.
Published: (2015)

Distinctive features for normal and crackles respiratory sounds using cepstral coefficients
by: Mohd Johari, Nabila Husna, et al.
Published: (2019)

Blood pressure estimation with complexity features from electrocardiogram and photoplethysmogram signals
by: Yang, Sen, et al.
Published: (2020)

Person identification in irregular cardiac conditions using electrocardiogram signals
by: Sidek, Khairul Azami, et al.
Published: (2011)

Fetal QRS complex Detection Algorithm for FPGA Implementation
by: Ibrahimy, Muhammad Ibn, et al.
Published: (2005)

VHDL Modeling Of Fetal QRS Complex Detection Algorithm
by: Tan, Hung Khoon
Published: (2004)

Distinctive features for classification of respiratory sounds between normal and crackles using cepstral coefficients
by: Mohd Johari, Nabila Husna, et al.
Published: (2018)

Biometric identification for twins using photoplethysmogram signals
by: Mohammed Nadzr, Nur Izzati, et al.
Published: (2017)

Hardware realization of an efficient fetal QRS complex detection algorithm
by: Ibrahimy, Muhammad Ibn, et al.
Published: (2006)

An approach to detect QRS complex using backpropagation neural network
by: Reaz, Mamun Bin Ibne, et al.
Published: (2006)

Design of software tool to detect QRS complex from ECG signal
by: Sediono, Wahju
Published: (2011)

NN-based R-peak detection in QRS complex of ECG signal
by: Ibrahimy, Muhammad Ibn
Published: (2008)

Data mining in mobile ECG based biometric identification
by: Sidek, Khairul Azami, et al.
Published: (2014)

Photoplethysmogram based biometric identification for twins incorporating gender variability
by: Mohammed Nadzri, Nur Izzati, et al.
Published: (2016)

Identification of cardiac autonomic neuropathy patients using cardioid based graph for ECG biometric
by: Sidek, Khairul Azami, et al.
Published: (2011)

Time variability analysis of photoplethysmogram biometric identification system
by: Mohd Azam, Siti Nurfarah Ain, et al.
Published: (2016)

Biometric identification with limited data set
by: Lionnie, Regina, et al.
Published: (2019)

Human identification system based on moment invariant features
by: Mohd Ibrahim, Azhar, et al.
Published: (2012)

Photoplethysmogram based biometric identification incorporating different age and gender group
by: Azam, Siti Nurfarah Ain, et al.
Published: (2018)

Acceleration plethysmogram based biometric identification
by: Jaafar, Nur Azua Liyana, et al.
Published: (2015)

Enhancement of low sampling frequency recordings for ECG biometric matching using interpolation
by: Sidek, Khairul Azami, et al.
Published: (2013)

Development of an acceleration plethysmogram based cardioid graph biometric identification
by: Sidek, Khairul Azami, et al.
Published: (2016)

Real time PPG data acquisition with GUI based application for HRV measurement
by: Zainal, Nur Izzati, et al.
Published: (2016)

Extracting features using computational cerebellar model for emotion classification
by: Yaacob, Hamwira Sakti, et al.
Published: (2013)

A comparative analysis of QRS and cardioid graph based ECG biometric recognition in different physiological conditions
by: Iqbal, Fatema-tuz-Zohra, et al.
Published: (2014)

The development of human biometric identification using acceleration plethysmogram
by: Sidek, Khairul Azami, et al.
Published: (2015)