International Conference on Computer and Knowledge Engineering

Home / 14th International Conference on Computer and Knowledge Engineering

Evaluation of Efficient Electrocardiomatrix-based Identification Using Deep Learning Methods

Authors :

Amirhossein Safari¹ Narges Mokhtari² Mohsen Hooshmand³ Sadegh Sadeghi⁴ Peyman Pahlevani⁵

1- Institute for Advanced Studies in Basic Sciences (IASBS) 2- Shahid Rajaee University 3- Institute for Advanced Studies in Basic Sciences (IASBS) 4- Institute for Advanced Studies in Basic Sciences (IASBS) 5- Institute for Advanced Studies in Basic Sciences (IASBS)

Keywords :

User identification،Biometric systems،ECG،ECM،Deep learning

Abstract :

Nowadays, biometric systems are essential for identification and authentication. This study proposes deep learning models for user identification using electrocardiometrices (ECMs) as input. The proposed models are evaluated from different perspectives to assess their efficiency and performance for user identification. One aspect involves comparing convolutional and recurrent neural models. In contrast, another element consists of testing the models with different numbers of ECMs and beats per frame for generating the ECMs. The results are based on an analysis of three different electrocardiogram datasets.

List of archived papers

A Weighted TF-IDF-based Approach for Authorship Attribution

Ali Abedzadeh - Reza Ramezani - Afsaneh Fatemi

Artificial Intelligence applications addressing different aspects of the Covid-19 crisis and key technological solutions for future epidemics control

Nadia Khalili - Hojatollah Hamidi

YOLOatt-Med: YOLO-Based Attention Mechanism for Medical Image Classification

Fatemeh Naserizadeh - Erfan Akbarnezhad Sany - Parsa Sinichi - Seyyed Abed Hosseini

Predicting the Recovery Rate of COVID-19 Using a Novel Hybrid Method

Fatemeh Ahouz - Ebrahim Sayahi

Spatial-channel attention-based stochastic neighboring embedding pooling and long short term memory for lung nodules classification

AHMED SAIHOOD - HOSSEIN KARSHENAS - AHMADREZA NAGHSH NILCHI

XAI for Transparent Autonomous Vehicles: A New Approach to Understanding Decision-Making in Self-driving Cars

Maryam Sadat Hosseini Azad - Amir Abbas Hamidi Imani - Shahriar Baradaran Shokouhi

AvashoG2P: A multi-module G2P Converter for Persian

Ali Moghadaszadeh - Fatemeh Pasban - Mohsen Mahmoudzadeh - Maryam Vatanparast - Amirmohammad Salehoof

Camouflage Object Segmentation with Attention-Guided Pix2Pix and Boundary Awareness

Erfan Akbarnezhad Sany - Fatemeh Naserizadeh - Parsa Sinichi - Seyyed Abed Hosseini

Evaluating the Impact of Traveling on COVID-19 Prevalence and Predicting the New Confirmed Cases According to the Travel Rate Using Machine Learning: A Case Study in Iran

Anita Ghandehari - Soheil Shirvani - Hadi Moradi

The Internet of Things-Enabled Smart City: An In-Depth Review of Its Domains and Applications

Amir Meydani - Ali Ramezani - Alireza Meidani

more

Samin Hamayesh - Version 42.3.2