Clustering Analysis of Aging Diseases and Chronic Habits With Multivariate Time Series Electrocardiogram and Medical Records

Clustering Analysis of Aging Diseases and Chronic Habits With Multivariate Time Series Electrocardiogram and Medical Records

BackgroundWith recent technology, multivariate time-series electrocardiogram (ECG) analysis has played an important role in diagnosing cardiovascular diseases. However, discovering the association of wide range aging disease and chronic habit with ECG analysis still has room to be explored. This art...

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Bibliographic Details
Main Authors: Kuo-Kun Tseng, Jiaqian Li, Yih-Jing Tang, Ching-Wen Yang, Fang-Ying Lin, Zhaowen Zhao
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-05-01
Series:Frontiers in Aging Neuroscience
Subjects:
electrocardiogram
disease analysis
habit analysis
feature extraction
k-means clustering
Online Access:https://www.frontiersin.org/article/10.3389/fnagi.2020.00095/full

Internet

https://www.frontiersin.org/article/10.3389/fnagi.2020.00095/full

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