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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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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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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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Special considerations while measuring pulse01:13

Special considerations while measuring pulse

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Assessing a patient's pulse is a fundamental skill in healthcare, but certain situations require special attention:
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Instrumentation Amplifier01:25

Instrumentation Amplifier

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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...
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Correlation between ECG and Cardiac Cycle01:25

Correlation between ECG and Cardiac Cycle

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The electrical signals recorded on an electrocardiogram (ECG) occur before the mechanical processes of contraction and relaxation during the cardiac cycle.
A cardiac action potential originates in the SA node and spreads throughout the atria and the AV node in approximately 0.03 seconds. This results in the P wave in an ECG and triggers atrial contraction. The action potential is then briefly slowed at the AV node, allowing the atria to contract and fill the ventricles with blood before...
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Related Experiment Video

Updated: Aug 29, 2025

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program
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Lightweight heartbeat detection algorithm for consumer grade wearable ECG measurement devices and its implementation.

Nobuaki Matsuura, Kei Kuwabara, Takayuki Ogasawara

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |September 10, 2022
    PubMed
    Summary

    We created a lightweight heartbeat detection algorithm for wearable devices. This new method improves heart rate accuracy, even with motion noise, by analyzing electrocardiogram (ECG) data.

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    Area of Science:

    • Biomedical Engineering
    • Signal Processing
    • Wearable Technology

    Background:

    • Consumer-grade wearable devices require efficient algorithms for accurate physiological monitoring.
    • Electrocardiogram (ECG) signal analysis is crucial for heart rate measurement but susceptible to noise in real-world applications.
    • Existing algorithms may be too computationally intensive for resource-constrained wearable devices.

    Purpose of the Study:

    • To develop a lightweight and efficient heartbeat detection algorithm for ECG analysis in consumer wearables.
    • To enhance the accuracy of heart rate measurement in the presence of noise, particularly from body motion.
    • To enable seamless integration of advanced ECG processing into commercially available wearable devices.

    Main Methods:

    • Developed a novel algorithm based on calculating clearance height in the inverted time differential of ECG signals.
    • Focused on algorithm sensitivity to the QRS complex for precise heartbeat detection.
    • Optimized the algorithm for efficient implementation on consumer-grade hardware.

    Main Results:

    • The algorithm demonstrated high sensitivity to the QRS complex, enabling accurate heartbeat detection.
    • Experimental validation in a commercial wearable device confirmed its practical applicability.
    • Significant improvement in heart rate measurement accuracy was observed, effectively mitigating noise from body motion.

    Conclusions:

    • The developed lightweight ECG algorithm is suitable for implementation in consumer wearable devices.
    • The algorithm provides a robust solution for accurate heart rate monitoring despite motion artifacts.
    • This advancement facilitates the integration of reliable cardiac health monitoring into everyday wearable technology.