Suppr超能文献

在此检查你的生物信号:一个新的非接触式心电图生物特征数据集。

Check your biosignals here: a new dataset for off-the-person ECG biometrics.

机构信息

Instituto de Telecomunicações, Instituto Superior Técnico, 1049-001 Lisboa, Portugal.

Instituto de Telecomunicações, Instituto Superior Técnico, 1049-001 Lisboa, Portugal; Instituto Superior de Engenharia de Lisboa, 1959-007 Lisboa, Portugal.

出版信息

Comput Methods Programs Biomed. 2014 Feb;113(2):503-14. doi: 10.1016/j.cmpb.2013.11.017. Epub 2013 Dec 8.

Abstract

The Check Your Biosignals Here initiative (CYBHi) was developed as a way of creating a dataset and consistently repeatable acquisition framework, to further extend research in electrocardiographic (ECG) biometrics. In particular, our work targets the novel trend towards off-the-person data acquisition, which opens a broad new set of challenges and opportunities both for research and industry. While datasets with ECG signals collected using medical grade equipment at the chest can be easily found, for off-the-person ECG data the solution is generally for each team to collect their own corpus at considerable expense of resources. In this paper we describe the context, experimental considerations, methods, and preliminary findings of two public datasets created by our team, one for short-term and another for long-term assessment, with ECG data collected at the hand palms and fingers.

摘要

“在此检查生物信号”(CYBHi)倡议是作为创建数据集和一致可重复获取框架的一种方式而开发的,以进一步扩展心电图(ECG)生物识别技术的研究。特别是,我们的工作针对的是新兴的非人体数据采集趋势,这为研究和行业带来了广泛的新挑战和机遇。虽然可以轻松找到使用胸部医疗级设备采集的 ECG 信号数据集,但对于非人体 ECG 数据,通常每个团队都需要花费大量资源来收集自己的语料库。在本文中,我们描述了由我们团队创建的两个公共数据集的背景、实验考虑因素、方法和初步发现,一个用于短期评估,另一个用于长期评估,这些数据集采集自手掌和手指的 ECG 数据。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验