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Related Concept Videos

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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Electrocardiogram Fundamentals01:28

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Introduction
An electrocardiogram (ECG) is a diagnostic tool for identifying cardiac conditions such as arrhythmias, conduction abnormalities, and myocardial ischemia.
Definition
An electrocardiogram (ECG) visualizes the heart's electrical activity by tracing the electrical movement associated with each heartbeat on a graph or monitor. As the heart beats, an electrical wave passes through it, correlating with the cardiac cycle events.
Parts of an ECG
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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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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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Securing While Sampling in Wireless Body Area Networks With Application to Electrocardiography.

Ruslan Dautov, Gill R Tsouri

    IEEE Journal of Biomedical and Health Informatics
    |November 6, 2014
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    This study introduces a novel lightweight encryption framework for wireless body area networks in healthcare. It enhances security for biomedical data transmission by integrating compressed sensing with physical layer security, reducing resource needs for sensor nodes.

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    Area of Science:

    • Biomedical Engineering
    • Cybersecurity
    • Signal Processing

    Background:

    • Wireless body area networks (WBANs) face security challenges in biomedical applications due to resource constraints and broadcast transmission.
    • Traditional encryption methods are unsuitable for compact sensor nodes owing to high memory and computational demands.
    • Ensuring data integrity is critical in healthcare where alterations can have severe consequences.

    Purpose of the Study:

    • To propose a lightweight encryption framework for WBANs in biomedical applications.
    • To enhance data security and compression simultaneously at the sampling stage.
    • To overcome the limitations of traditional public or private key infrastructure in resource-constrained environments.

    Main Methods:

    • Integrating compressed sensing with wireless physical layer security.
    • Utilizing the measurement matrix of compressed sensing as an encryption key.
    • Evaluating the framework through analysis, simulation, and experimentation on a wireless electrocardiogram (ECG) setup.

    Main Results:

    • The proposed framework offers a secure and reliable method for transmitting biomedical data.
    • Security is achieved by using the measurement matrix as an inherent encryption key.
    • The approach conserves sensor node resources by eliminating the need for separate encryption algorithms and pre-deployed keys.

    Conclusions:

    • The novel framework effectively addresses security concerns in resource-limited WBANs for healthcare.
    • Compressed sensing augmentation with physical layer security provides an efficient solution for secure biomedical data transmission.
    • The system demonstrates reliable and secure communication against proximity attacks when the eavesdropper is at a reasonable distance.