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Poster Session Ⅲ 차세대컴퓨팅 기술 전 분야

ECG 신호를 이용한 사용자 식별 시스템 – 1D 및 2D ECG 데이터 비교 연구

원문정보

User Identification System using ECG signals – A comparitive study of 1D and 2D ECG data

Ziyang Gong, Jun-Ho Yoon, Chang Choi

한국차세대컴퓨팅학회 한국차세대컴퓨팅학회 학술대회 2023 한국차세대컴퓨팅학회 춘계학술대회 2023.06 pp.253-256
피인용수 : 0건 (자료제공 : 네이버학술정보)

초록

영어

ECG signals are based on capturing the electrical activity generated by the heart. Different types of analysis techniques have been performed on ECG signals to make it usable for different purposes. The purpose of this study is to compare the 1-dimensional and 2-dimensional analysis techniques performed on ECG signals and different types of AI-based algorithms used to train the data. For this purpose, previuos researches based on different types of ECG data are studied to carry out comparative analysis. The results show that user identification system built using 2D ECG data results in better identification accuracy as compared to 1D ECG signals.

목차

Abstract
1. Introduction
2. Related works
3. Methods
Acknowledgement
References

키워드

저자정보

  • Ziyang Gong Dept. of Computer Engineering Gachon University
  • Jun-Ho Yoon Dept. of Computer Engineering Gachon University
  • Chang Choi Dept. of Computer Engineering Gachon University

참고문헌

자료제공 : 네이버학술정보

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