Biometric Identification From ECG Signals Using Fourier Decomposition and Machine Learning-Reference-Cited by-同舟云学术

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Biometric Identification From ECG Signals Using Fourier Decomposition and Machine Learning

Published:2022 Issue: Volume:71 Page:1-9
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Fatimah Binish¹^ORCID,Singh Pushpendra²^ORCID,Singhal Amit³^ORCID,Pachori Ram Bilas⁴^ORCID

Affiliation:

1. Department of Electronics and Communication Engineering, CMR Institute of Technology, Bengaluru, Karnataka, India

2. Department of Electronics and Communication Engineering, National Institute of Technology (NIT) Hamirpur, Himachal Pradesh, India

3. Department of Electronics and Communication Engineering, Netaji Subhas University of Technology, New Delhi, India

4. Department of Electrical Engineering, IIT Indore, Indore, Madhya Pradesh, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/9717300/09858160.pdf?arnumber=9858160

Reference40 articles.

1. ECG authentication system design incorporating a convolutional neural network and generalized S-Transformation

2. ECG Authentication Method Based on Parallel Multi-Scale One-Dimensional Residual Network With Center and Margin Loss

3. The impact of the MIT-BIH Arrhythmia Database

4. Check Your Biosignals Here: A new dataset for off-the-person ECG biometrics

5. The Fourier decomposition method for nonlinear and non-stationary time series analysis

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