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Erschienen in:
Introduction: Computational Pulse Diagnosis Kapitel lesen Erstes Kapitel lesen

2018 | OriginalPaper | Buchkapitel

16. Comparison Between Pulse and ECG

verfasst von : David Zhang, Wangmeng Zuo, Peng Wang

Erschienen in: Computational Pulse Signal Analysis

Verlag: Springer Singapore

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Abstract

Both wrist pulse and electrocardiogram (ECG) signals are mainly caused by cardiac activities and are valuable in analyzing heart rhythms and cardiac diseases. For noninvasive monitoring, recent studies indicate that ECG and wrist pulse signal can be adopted for the diagnosis of several non-cardiac diseases and reflect the movement of blood and the change of vessel diameter. To reveal the complementarities between pulse signal and ECG, a comparative study of these two signals is conducted for the diagnosis of non-cardiac diseases. The two types of signals are compared based on two classes of indicators: information complexity and classification performance. The results show that wrist pulse blood flow signal is more informative by complexity measure and can achieve higher classification accuracy. Some examples of non-cardiac diseases, e.g., diabetes, liver, and gallbladder diseases, are given to illustrate the strengths of wrist pulse signal.

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Vorheriges Kapitel Comparison of Three Different Types of Wrist Pulse Signals
Nächstes Kapitel Discussion and Future Work
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Metadaten
Titel
Comparison Between Pulse and ECG
verfasst von
David Zhang
Wangmeng Zuo
Peng Wang
Copyright-Jahr
2018
Verlag
Springer Singapore
Buch
Computational Pulse Signal Analysis

Print ISBN: 978-981-10-4043-6

Electronic ISBN: 978-981-10-4044-3

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-981-10-4044-3_16