DocumentCode
2946518
Title
ECG analysis: a new approach in human identification
Author
Biel, Lena ; Pettersson, Ola ; Philipson, Lennart ; Wide, Peter
Author_Institution
Dept. of Technol. & Sci., Orebro Univ., Sweden
Volume
1
fYear
1999
fDate
1999
Firstpage
557
Abstract
In this article a new approach in human identification is investigated. For this purpose a standard 12-lead electrocardiogram (EGG), 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 has 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; electrocardiogram; feature extraction; human identification; multivariate analysis; Electric potential; Electric variables measurement; Electrocardiography; Electrodes; Face detection; Feature extraction; Foot; Heart; Humans; Muscles;
fLanguage
English
Publisher
ieee
Conference_Titel
Instrumentation and Measurement Technology Conference, 1999. IMTC/99. Proceedings of the 16th IEEE
Conference_Location
Venice
ISSN
1091-5281
Print_ISBN
0-7803-5276-9
Type
conf
DOI
10.1109/IMTC.1999.776813
Filename
776813
Link To Document