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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.
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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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In signal processing, a continuous-time signal can be sampled using an impulse-train sampling technique, followed by the zero-order hold method. Impulse-train sampling involves the use of a periodic impulse train, which consists of a series of delta functions spaced at regular intervals determined by the sampling period. When a continuous-time signal is multiplied by this impulse train, it generates impulses with amplitudes corresponding to the signal's values at the sampling points.
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Direct Method
This invasive approach involves cannulating a peripheral artery. During each cardiac contraction, pressure generates mechanical motion within the catheter, transmitted through rigid, fluid-filled tubing to a transducer. This transducer converts mechanical motion into electrical signals displayed as waveforms on a monitor. An automatic flushing system prevents blood backflow. Due to the potential risk of unexpected arterial blood loss, this method is primarily used in intensive...
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When the heart pumps blood out, arterial elastic fibers play a crucial role in sustaining a high-pressure gradient. They expand to accommodate the received blood and then recoil - a process known as the pulse that can be either manually palpated or electronically quantified. Despite a reduction in its effect with increased distance from the heart, elements of the pulse's systolic and diastolic components persist, observable even at the arteriole level.
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Design Example01:23

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The innovation of touch-tone telephony revolutionized the telecommunications industry by replacing the traditional rotary dial with a dual-tone multi-frequency (DTMF) signaling system. This system uses a matrix-style keypad with buttons arranged in four rows and three columns, creating 12 distinct signals each assigned to a pair of frequencies. Each button press results in a simultaneous generation of two sinusoidal tones – one from a low-frequency group (697 to 941 Hz) and one from a...
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[Dynamic Pulse Signal Processing and Analyzing in Mobile System].

Yongxin Chou, Aihua Zhang, Jiqing Ou

    Zhongguo Yi Liao Qi Xie Za Zhi = Chinese Journal of Medical Instrumentation
    |February 25, 2016
    PubMed
    Summary
    This summary is machine-generated.

    A new method accurately extracts dynamic pulse rate variability (DPRV) from pulse signals in real time. This portable system enables on-the-go DPRV analysis for health monitoring.

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    Area of Science:

    • Biomedical Engineering
    • Physiological Monitoring
    • Signal Processing

    Background:

    • Pulse rate variability (PRV) analysis is crucial for cardiovascular health assessment.
    • Real-time extraction of dynamic pulse rate variability (DPRV) from pulse signals presents technical challenges.
    • Existing methods may lack portability or real-time processing capabilities.

    Purpose of the Study:

    • To propose a novel method for real-time DPRV signal extraction from dynamic pulse signals.
    • To design a portable mobile monitoring system for collecting and processing pulse signals.
    • To validate the accuracy and real-time performance of the proposed DPRV extraction method.

    Main Methods:

    • Development of a front-end module for pulse signal acquisition and wireless transmission.
    • Implementation of a real-time DPRV extraction algorithm on a mobile terminal.
    • Application of time-domain, frequency-domain, and non-linear analyses to the extracted DPRV signal.

    Main Results:

    • The proposed method accurately derives the DPRV signal in real time from dynamic pulse signals.
    • The designed portable system effectively processes and analyzes DPRV signals on a mobile terminal.
    • Demonstrated feasibility of real-time physiological monitoring using mobile technology.

    Conclusions:

    • The developed method and system provide an accurate and portable solution for real-time DPRV analysis.
    • This approach facilitates continuous cardiovascular health monitoring outside clinical settings.
    • The system holds potential for widespread application in remote patient monitoring and personal health tracking.