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Heartprint: A Multisession ECG Dataset for Biometric Recognition

Version 3 2022-07-14, 12:02
Version 2 2022-06-23, 15:23
Version 1 2022-06-23, 15:17
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posted on 2022-07-14, 12:02 authored by Md Saiful IslamMd Saiful Islam, Haikel AlHichri, Yakoub Bazi, Nassim Ammour, Naif Alajlan, Rami M. Jomaa

Heartprint is a large biometric database of multisession ECG-signal comprising 1539 records of 15 seconds length collected from 199 subjects. The signals were collected in multiple sessions over ten years starting from 2012 in resting and reading conditions of the subjects and organized in a multisession database. The dataset also covers several demographic classes such as genders, ethnicities, and age groups. Heartprint dataset could be a valuable resource for the development and evaluation of biometric recognition algorithms.  


Please cite the following article if you use this dataset:  Islam, M.S.; Alhichri, H.; Bazi, Y.; Ammour, N.; Alajlan, N.; Jomaa, R.M. Heartprint: A Dataset of Multisession ECG Signal with Long Interval Captured from Fingers for Biometric Recognition. Data 2022, 7, 141. https://doi.org/10.3390/data7100141 

Funding

National Science, Technology and Innovation Plan , MAARIFA, King Abdulaziz City for Science and Technology, Saudi Arabia, grant number 13-INF2168-02

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