Research of ear PPG signals compared with ECG signals by empirical mode decomposition and Hilbert-Huang transform

Yi-Cheng Huang, Chun Shien Lin

Research output: Contribution to journalArticle

Abstract

As the population ageing and increasing public awareness on health, home healthcare devices will experience a rapid growth in the future. Measurements will become easier and more instantaneous as the technology advancement, while the equipment will become lighter and more convenient. The photoplethysmogram (PPG) is a simple and portable device commonly used nowadays to learn heart rate variability (HRV). Through simultaneous measurements using ear PPG and institutional electrocardiogram (ECG), the present study uses Hilbert-Huang Transform to decompose ECG data, and empirical mode decomposition technology to eliminate unwanted wander line and normal low frequency noise in the ECG. Verification with clinical HRV in ECG is facilitated by evaluating the results from the correlative comparison in frequency domain between the new data and PPG, in order to strengthen the justifiability over the use of ear PPG.

Original languageEnglish
Pages (from-to)1-8
Number of pages8
JournalJournal of Technology
Volume28
Issue number1
Publication statusPublished - 2013 Apr 30

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Electrocardiography
Decomposition
Aging of materials
Health
Mathematical transformations

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

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Research of ear PPG signals compared with ECG signals by empirical mode decomposition and Hilbert-Huang transform. / Huang, Yi-Cheng; Lin, Chun Shien.

In: Journal of Technology, Vol. 28, No. 1, 30.04.2013, p. 1-8.

Research output: Contribution to journalArticle

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