Analysis of Waveform Data of ECG/RESP/ICG with Fourier Transform

Jian Chiun Liou, Zong Xuan Hsieh, Zhi Yu Lin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

ECG can observe the heart activity state of the human body, which has always been a very important parameter in physiological signals. By observing and comparing the correlation and difference with related physiological signals. It is hoped that the characteristics and particularities of these can be found, and the efficiency of judging pathological characteristics from them can be improved. In the future, it is also hoped that this will meet and improve clinical applications and needs.

Original languageEnglish
Title of host publicationProceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages605-606
Number of pages2
ISBN (Electronic)9781665470506
DOIs
Publication statusPublished - 2022
Event2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022 - Taipei, Taiwan
Duration: Jul 6 2022Jul 8 2022

Publication series

NameProceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022

Conference

Conference2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022
Country/TerritoryTaiwan
CityTaipei
Period7/6/227/8/22

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Hardware and Architecture
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Media Technology
  • Health Informatics
  • Instrumentation

Fingerprint

Dive into the research topics of 'Analysis of Waveform Data of ECG/RESP/ICG with Fourier Transform'. Together they form a unique fingerprint.

Cite this