Extraction of 1/f component from heartbeat interval signal by singular spectrum analysis

Dah Chuan Chiou; Hui Hsun Huang; Hsiao Lung Chan; Chien Ping Wu

Extraction of 1/f component from heartbeat interval signal by singular spectrum analysis

Dah Chuan Chiou^*
, Hui Hsun Huang
, Hsiao Lung Chan
, Chien Ping Wu

^*Corresponding author for this work

Research output: Contribution to journal › Journal Article › peer-review

Abstract

Heartbeat interval time series is an example of natural signals with 1/f characteristics. The exponent α of the 1/f^α spectrum has some clinical significance. But sometimes the 1/f components is superimposed by some sinusoid components in the signal. To estimate the slope accurately, the 1/f component must be extracted from the signal. The singular spectrum analysis (SSA) method is recruited here to perform the task. Experimental results on data from real patients are satisfactory.

Original language	English
Pages (from-to)	302-304
Number of pages	3
Journal	IEICE Transactions on Information and Systems
Volume	E83-D
Issue number	2
State	Published - 2000
Externally published	Yes

Keywords

1/f characteristics
Heart rate variability
Singular spectrum analysis

Cite this

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title = "Extraction of 1/f component from heartbeat interval signal by singular spectrum analysis",

abstract = "Heartbeat interval time series is an example of natural signals with 1/f characteristics. The exponent α of the 1/fα spectrum has some clinical significance. But sometimes the 1/f components is superimposed by some sinusoid components in the signal. To estimate the slope accurately, the 1/f component must be extracted from the signal. The singular spectrum analysis (SSA) method is recruited here to perform the task. Experimental results on data from real patients are satisfactory.",

keywords = "1/f characteristics, Heart rate variability, Singular spectrum analysis",

author = "Chiou, \{Dah Chuan\} and Huang, \{Hui Hsun\} and Chan, \{Hsiao Lung\} and Wu, \{Chien Ping\}",

year = "2000",

language = "英语",

volume = "E83-D",

pages = "302--304",

journal = "IEICE Transactions on Information and Systems",

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TY - JOUR

T1 - Extraction of 1/f component from heartbeat interval signal by singular spectrum analysis

AU - Chiou, Dah Chuan

AU - Huang, Hui Hsun

AU - Chan, Hsiao Lung

AU - Wu, Chien Ping

PY - 2000

Y1 - 2000

N2 - Heartbeat interval time series is an example of natural signals with 1/f characteristics. The exponent α of the 1/fα spectrum has some clinical significance. But sometimes the 1/f components is superimposed by some sinusoid components in the signal. To estimate the slope accurately, the 1/f component must be extracted from the signal. The singular spectrum analysis (SSA) method is recruited here to perform the task. Experimental results on data from real patients are satisfactory.

AB - Heartbeat interval time series is an example of natural signals with 1/f characteristics. The exponent α of the 1/fα spectrum has some clinical significance. But sometimes the 1/f components is superimposed by some sinusoid components in the signal. To estimate the slope accurately, the 1/f component must be extracted from the signal. The singular spectrum analysis (SSA) method is recruited here to perform the task. Experimental results on data from real patients are satisfactory.

KW - 1/f characteristics

KW - Heart rate variability

KW - Singular spectrum analysis

UR - https://www.scopus.com/pages/publications/0033905526

M3 - 文章

AN - SCOPUS:0033905526

SN - 0916-8532

VL - E83-D

SP - 302

EP - 304

JO - IEICE Transactions on Information and Systems

JF - IEICE Transactions on Information and Systems

IS - 2

ER -

Extraction of 1/f component from heartbeat interval signal by singular spectrum analysis

Abstract

Keywords

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