Gurkan et al., 2013 - Google Patents
A novel human identification system based on electrocardiogram featuresGurkan et al., 2013
View PDF- Document ID
- 2465207867757857872
- Author
- Gurkan H
- Guz U
- Yarman B
- Publication year
- Publication venue
- International Symposium on Signals, Circuits and Systems ISSCS2013
External Links
Snippet
In this work we present a novel biometric authentication approach based on combination of AC/DCT features, MFCC features, and QRS beat information of the ECG signals. The proposed approach is tested on a subset of 30 subjects selected from the PTB database …
- 238000000605 extraction 0 description 5
Classifications
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- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/04—Detecting, measuring or recording bioelectric signals of the body of parts thereof
- A61B5/0402—Electrocardiography, i.e. ECG
- A61B5/0452—Detecting specific parameters of the electrocardiograph cycle
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