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相关概念视频

Instrumentation Amplifier01:25

Instrumentation Amplifier

425
An electrocardiography (ECG) machine is an essential piece of medical equipment used to monitor the electrical activity of the heart. It operates by detecting small electrical changes on the skin that result from the depolarization of the heart muscle during each heartbeat. However, these signals are in the microvolt range and can be easily overwhelmed by noise or interference.
To overcome this challenge, an ECG machine utilizes an instrumentation amplifier. This specialized amplifier is...
425
Electrocardiogram01:29

Electrocardiogram

2.0K
An electrocardiogram (ECG or EKG) is a critical diagnostic tool that records the electrical signals produced by the heart during each heartbeat. This recording is achieved through electrodes placed strategically on the arms, legs, and chest. The electrocardiograph amplifies these signals and produces 12 distinct tracings, offering a comprehensive understanding of the heart's electrical activity.
Three major waveforms are present in a typical ECG recording: the P wave, the QRS complex, and...
2.0K

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相关实验视频

Updated: May 24, 2025

Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function
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Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function

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用心电图进行双因素生物识别验证:两种可取消的方法

Jui-Kun Chiu, Tzu-Yun Lin, Wei-Shen Hsu

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |March 5, 2025
    PubMed
    概括

    本研究引入了用于安全身份验证的新型双因素心电图 (ECG) 生物识别系统. 这些系统为生物识别数据提供了强大的安全性和隐私保护.

    科学领域:

    • 生物识别信息 生物识别信息
    • 网络安全 网络安全
    • 心脏病学 心脏病学

    背景情况:

    • 生物识别身份验证使用独特的生理或行为特征进行身份验证.
    • 心电图 (ECG) 是可行的生物识别特征,但基于心电图的验证系统尚未得到充分探索.
    • 现有的生物识别系统面临隐私和安全方面的挑战.

    研究的目的:

    • 提出使用ECG的两种新型双因素可取消生物识别验证方案.
    • 通过基于ECG的识别来增强生物识别身份验证的安全性和隐私.
    • 为了应对心电图生物识别验证中节拍间变化的挑战.

    主要方法:

    • 开发可取消的双因素生物识别验证方案.
    • 在模板创建中使用生物结合和最小平均相关性能量过器.
    • 实施基于四分位数范围的方法来进行身份匹配.
    • 解决心电图信号中节拍间变化的问题.

    主要成果:

    • 成功构建可撤销和不可逆转的生物识别模板.
    • 在最佳条件下,达到低至1%的等错率 (EER).
    • 证明有效的身份验证,尽管节奏间的变化.

    更多相关视频

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    Simultaneous Video-EEG-ECG Monitoring to Identify Neurocardiac Dysfunction in Mouse Models of Epilepsy
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    相关实验视频

    Last Updated: May 24, 2025

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    Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis
    08:22

    Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis

    Published on: April 26, 2024

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    Simultaneous Video-EEG-ECG Monitoring to Identify Neurocardiac Dysfunction in Mouse Models of Epilepsy
    11:54

    Simultaneous Video-EEG-ECG Monitoring to Identify Neurocardiac Dysfunction in Mouse Models of Epilepsy

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  • 缓解了与ECG生物识别相关的隐私侵犯和安全问题.

    • 结论:

    • 拟议的ECG生物识别验证方案提供了一种安全且保护隐私的身份验证方法.
    • 可取消模板的集成提高了基于心电图的生物识别的安全性.
    • 四分区间范围方法有效地处理节拍间的变化,以进行可靠的验证.