단일 리드 심전도를 이용한 개인 식별Identification of Individuals using Single-Lead Electrocardiogram Signal
- Other Titles
- Identification of Individuals using Single-Lead Electrocardiogram Signal
- Authors
- 임서현; 민경란; 이종실; 장동표; 김인영
- Issue Date
- Jun-2014
- Publisher
- 대한의용생체공학회
- Keywords
- individual identification; single-lead; electrocardiogram; ensemble average
- Citation
- 의공학회지, v.35, no.3, pp.42 - 49
- Indexed
- KCI
- Journal Title
- 의공학회지
- Volume
- 35
- Number
- 3
- Start Page
- 42
- End Page
- 49
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/159764
- DOI
- 10.9718/JBER.2014.35.3.42
- ISSN
- 1229-0807
- Abstract
- We propose an individual identification method using a single-lead electrocardiogram signal. In this paper,lead I ECG is measured from subjects in various physical and psychological states. We performed a noise reductionfor lead I signal as a preprocessing stage and this signal is used to acquire the representative beat waveform for individualsby utilizing the ensemble average. From the P-QRS-T waves, features are extracted to identify individuals,19 using the duration and amplitude information, and 16 from the QRS complex acquired by applying Pan-Tompkinsalgorithm to the ensemble averaged waveform. To analyze the effect of each feature and to improve efficiency whilemaintaining the performance, Relief-F algorithm is used to select features from the 35 features extracted. Some orall of these 35 features were used in the support vector machine (SVM) learning and tests. The classification accuracyusing the entire feature set was 98.34%. Experimental results show that it is possible to identify a person by featuresextracted from limb lead I signal only.
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