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相关概念视频

Holter Monitor: 24-Hour Monitoring01:23

Holter Monitor: 24-Hour Monitoring

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Holter monitoring is a continuous electrocardiography (ECG) recording that tracks the heart's electrical activity over an extended period, generally 24 to 48 hours. This noninvasive diagnostic tool detects irregular heart rhythms that may not be captured during a standard ECG performed in a clinical setting.DeviceThe Holter monitor is a portable, small device connected to several electrodes on the patient's chest. These electrodes detect the heart's electrical signals and transmit them to the...
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Pulse rhythm01:30

Pulse rhythm

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Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac...
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Electrocardiogram01:29

Electrocardiogram

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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...
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Estimate the Cognitive Load Using Electrocardiographic Measure: A Human-AI Collaborative Task
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实时,单耳,可穿戴的心电图重建,R峰检测和HR/HRV监控

Carlos Santos, Sebastian Frey, Andrea Cossettini

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 3, 2025
    PubMed
    概括

    这项研究介绍了一种使用心电图 (ECG) 信号进行实时心率 (HR) 和心率变化 (HRV) 监测的新型耳戴系统. 这种节能设备可以通过耳塞连续跟踪心血管.

    科学领域:

    • 生物医学工程 生物医学工程
    • 可穿戴技术可穿戴技术
    • 生物信号处理生物信号处理

    背景情况:

    • 持续的生物信号监测,特别是心率 (HR) 和心率变化 (HRV),对于跟踪生理和认知状态至关重要.
    • 耳罩等头戴设备在HR/HRV监控中具有提高可用性的潜力,但面临着湿电极,弱耳信号和算法兼容性的挑战.
    • 目前的方法往往需要侵入性或繁的设置,限制广泛采用持续的,非侵入性心血管健康评估.

    研究的目的:

    • 引入一个单耳可穿戴系统,在节能嵌入式设备上实时估计心电图 (ECG) 参数.
    • 通过使用先进的电极技术和优化的算法,直接在可穿戴设备上演示强大的HR和HRV参数提取.
    • 通过日常头戴设备实现持续,不引人注目的心血管监测.

    主要方法:

    • 开发一个单耳可穿戴系统,集成最先进的耳内电极技术.
    • 在节能BioGAP设备上实施一个优化的DeepMF算法来处理心电图 (ECG) 信号.
    • 实时HR和HRV参数提取直接在可穿戴设备上的主体独立方法.

    主要成果:

    • 该系统实现了低能耗,HR/HRV参数估计仅为36.7J/推理.
    • 性能与最先进的架构相比,HR的平均误差为0.49bpm,HRV的平均误差为25.82ms.

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  • 估计电池寿命为36小时,总系统功耗为7.6mW.

    • 结论:

    • 开发的系统可以在耳戴设备上直接进行可靠的实时心电图参数估计,为持续的心血管监测铺平了道路.
    • 将HR和HRV测量集成到耳罩等日常设备中,为不引人注目的家庭心血管健康跟踪提供了巨大的潜力.
    • 这项技术可以通过持续的非侵入性监测,帮助早期检测心血管疾病.