Heartprint: A Multisession ECG Dataset for Biometric Recognition

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. <br> 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. <em>Data</em> <strong>2022</strong>, <em>7</em>, 141. https://doi.org/10.3390/data7100141

Heartprint是一款多时段心电信号（Electrocardiogram, ECG）大型生物特征数据库，收录了来自199名受试者的1539条时长15秒的记录。该数据集的信号采集始于2012年，在长达十年的多个时段内完成，采集场景涵盖受试者静息与阅读两种状态，并被整理为多时段数据库。本数据集还覆盖了性别、种族、年龄分组等多个人口统计学类别。Heartprint数据集可用于开发与评估生物特征识别算法，是极具价值的研究资源。<br>若使用本数据集，请引用以下文献：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