Photoplethysmographic Signal Feature Extraction using an Empirical Mode Decomposition Approach

被引：0

作者：

Abeysekera, Saman S. ^{[1
]}

Jaisankar, Baladjee ^{[1
]}

机构：

[1] Nanyang Technol Univ, Sch Elect & Elect Engn, 50 Nanyang Ave, Singapore 639798, Singapore

来源：

2015 10TH INTERNATIONAL CONFERENCE ON INFORMATION, COMMUNICATIONS AND SIGNAL PROCESSING (ICICS) | 2015年

关键词：

Photoplethysmography; Empirical mode decomposition; Heart-rate monitoring; Blood pressure variations; Spectral analysis; PRESSURE;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Photoplethysmographic signals contain physiologically meaningful features that can be related to heart rate variability, blood pressure variations, etc. This paper presents a description for the photoplethysmographic signal through the use of Empirical mode decomposition. This description allows the signal feature extraction to be simplified via traditional signal processing methods such as spectral estimation and time-frequency analysis.

引用

页数：5

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