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Cited by 949

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ECG analysis: a new approach in human identification

Biel, L., Pettersson, O., Philipson, L., Wide, P.·2001·IEEE Transactions on Instrumentation and Measurement

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.

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Metadata

Authors
Biel, L., Pettersson, O., Philipson, L., & Wide, P.
Venue
IEEE Transactions on Instrumentation and Measurement
Published
2001-06
Volume
50
Issue
3
Pages
808-812
ISSN
0018-9456 (ISSN-L)
OpenAlex
W2170941890
Cited by
949
References
1
FWCI
3.17
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: ECG analysis: a new approach in human identification. https://app.cochat.ai/papers/10.1109/19.930458
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Biel, L., Pettersson, O., Philipson, L., & Wide, P. (2001). ECG analysis: a new approach in human identification. IEEE Transactions on Instrumentation and Measurement. https://doi.org/10.1109/19.930458

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.