Optimised band-pass filter to ensure accurate ECG-based identification of exercising human subjects

Waveform distortions generated by exercise cause erroneous predictions in human identification based on the electrocardiogram (ECG). An approach for the ECG-based identification to achieve accurate predictions while exercising is proposed. In the proposed scheme, passband of a band-pass filter is op...

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Bibliographic Details
Published in:Electronics letters 2017-02, Vol.53 (4), p.222-224
Main Authors: Nobunaga, T, Tanaka, H, Tanahashi, I, Watanabe, T, Hattori, Y
Format: Article
Language:English
Subjects:
Archives
Bandpass filters
band‐pass filter
band‐pass filters
biomechanics
Biomedical technology
Distortion
ECG waveform variation
ECG‐based identification system
electrocardiogram
electrocardiography
Electronics
exercise
medical signal processing
Robustness
waveform distortion
Waveforms
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Summary:Waveform distortions generated by exercise cause erroneous predictions in human identification based on the electrocardiogram (ECG). An approach for the ECG-based identification to achieve accurate predictions while exercising is proposed. In the proposed scheme, passband of a band-pass filter is optimised to compensate for the distortion. As a result, the proposed scheme archives 100% identification accuracy is revealed when the subject is resting and 99.7% during exercise. The investigation is an important building block in the development of robust ECG-based identification systems that are consistently accurate despite significant ECG waveform variation due to exercise.
ISSN:0013-5194
1350-911X
1350-911X
DOI:10.1049/el.2016.4149