A longitudinal and cross-section investigation on peritoneal dialysis patients: Does the cardiovascular conditions affect on ECG biometrics?

Tsu Wang Shen; Shan Chun Chang; Chih Hsien Wang; Te-Chao Fang

A longitudinal and cross-section investigation on peritoneal dialysis patients: Does the cardiovascular conditions affect on ECG biometrics?

Tsu Wang Shen, Shan Chun Chang, Chih Hsien Wang, Te-Chao Fang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Electrocardiogram is previously verified as a new biometric for human identification. However, it is uncertain if changes of cardiovascular conditions may cause any difference. The research investigates if cardiovascular conditions may impact ECG biometrics. A longitudinal and cross-section investigation is applied on peritoneal dialysis patients. Our results show that ECG is still able to identify individuals, even the average correlation coefficients decreased after years. However, we still suggest that ECG biometric may calibrate after years on peritoneal dialysis patients.

Original language	English
Title of host publication	Computing in Cardiology
Pages	497-500
Number of pages	4
Volume	37
Publication status	Published - 2010
Externally published	Yes
Event	Computing in Cardiology 2010, CinC 2010 - Belfast, United Kingdom Duration: Sep 26 2010 → Sep 29 2010

Other

Other	Computing in Cardiology 2010, CinC 2010
Country	United Kingdom
City	Belfast
Period	9/26/10 → 9/29/10

ASJC Scopus subject areas

Computer Science Applications
Cardiology and Cardiovascular Medicine

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title = "A longitudinal and cross-section investigation on peritoneal dialysis patients: Does the cardiovascular conditions affect on ECG biometrics?",

abstract = "Electrocardiogram is previously verified as a new biometric for human identification. However, it is uncertain if changes of cardiovascular conditions may cause any difference. The research investigates if cardiovascular conditions may impact ECG biometrics. A longitudinal and cross-section investigation is applied on peritoneal dialysis patients. Our results show that ECG is still able to identify individuals, even the average correlation coefficients decreased after years. However, we still suggest that ECG biometric may calibrate after years on peritoneal dialysis patients.",

author = "Shen, {Tsu Wang} and Chang, {Shan Chun} and Wang, {Chih Hsien} and Te-Chao Fang",

year = "2010",

language = "English",

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note = "Computing in Cardiology 2010, CinC 2010 ; Conference date: 26-09-2010 Through 29-09-2010",

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AU - Shen, Tsu Wang

AU - Chang, Shan Chun

AU - Wang, Chih Hsien

AU - Fang, Te-Chao

PY - 2010

Y1 - 2010

N2 - Electrocardiogram is previously verified as a new biometric for human identification. However, it is uncertain if changes of cardiovascular conditions may cause any difference. The research investigates if cardiovascular conditions may impact ECG biometrics. A longitudinal and cross-section investigation is applied on peritoneal dialysis patients. Our results show that ECG is still able to identify individuals, even the average correlation coefficients decreased after years. However, we still suggest that ECG biometric may calibrate after years on peritoneal dialysis patients.

AB - Electrocardiogram is previously verified as a new biometric for human identification. However, it is uncertain if changes of cardiovascular conditions may cause any difference. The research investigates if cardiovascular conditions may impact ECG biometrics. A longitudinal and cross-section investigation is applied on peritoneal dialysis patients. Our results show that ECG is still able to identify individuals, even the average correlation coefficients decreased after years. However, we still suggest that ECG biometric may calibrate after years on peritoneal dialysis patients.

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