DocumentCode
1504747
Title
ECG analysis: a new approach in human identification
Author
Biel, Lena ; Pettersson, Ola ; Philipson, Lennart ; Wide, Peter
Author_Institution
Dept. of Sci. & Technol., Orebro Univ., Sweden
Volume
50
Issue
3
fYear
2001
fDate
6/1/2001 12:00:00 AM
Firstpage
808
Lastpage
812
Abstract
A new approach in human identification is investigated. For this purpose, a standard 12-lead electrocardiogram (ECG) recorded during rest is used. Selected features extracted from the ECG are used to identify a person in a predetermined group. Multivariate analysis is used for the identification task. Experiments show that it is possible to identify a person by features extracted from one lead only. Hence, only three electrodes have to be attached on the person to be identified. This makes the method applicable without too much effort
Keywords
biometrics (access control); electrocardiography; feature extraction; medical signal processing; principal component analysis; sensor fusion; signal classification; ECG analysis; PCA; SIMCA classifier; data fusion; feature extraction; human identification; multivariate analysis; Electric potential; Electric variables measurement; Electrocardiography; Electrodes; Face detection; Feature extraction; Fingerprint recognition; Foot; Heart; Humans;
fLanguage
English
Journal_Title
Instrumentation and Measurement, IEEE Transactions on
Publisher
ieee
ISSN
0018-9456
Type
jour
DOI
10.1109/19.930458
Filename
930458
Link To Document