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Pulse rhythm

Pulse rhythm

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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A Modified Sonographic Algorithm for Image Acquisition in Life-Threatening Emergencies in the Critically Ill Newborn

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IoT-based emergency cardiac death risk rescue alert system.

Shafiq Ul Rehman¹, Ibrahim Sadek², Binhua Huang³

¹College of Information Technology, Kingdom University, Bahrain.

|July 29, 2024

Summary

This study introduces a wearable system for real-time electrocardiogram (ECG) monitoring to predict Sudden Cardiac Death (SCD). It also includes an alert system for community healthcare workers, addressing a critical gap in remote patient care.

Keywords:

ECG-Based Alert System for Cardiac Death Risk Rescue Edge computing Electrocardiogram Healthcare Wearables

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Area of Science:

Biomedical Engineering
Cardiology
Digital Health

Background:

Remote, real-time, wearable monitoring is crucial for medium-risk patients.
Existing electrocardiogram (ECG) detection methods lack effective emergency response mechanisms.
Sudden Cardiac Death (SCD) prediction and timely intervention are vital for patient outcomes.

Purpose of the Study:

To propose a novel system for real-time ECG monitoring and cloud-based SCD prediction.
To develop an integrated emergency response mechanism for alerted community healthcare workers.
To address the research gap in responding to detected cardiac emergencies in a domestic setting.

Main Methods:

Real-time monitoring of ECG signals using wearable technology.
Cloud-based data transmission for processing and Sudden Cardiac Death (SCD) prediction algorithms.
Development of an alert system to notify local healthcare providers upon predicted SCD events.

Main Results:

Successful real-time ECG data acquisition and transmission.
Accurate prediction of Sudden Cardiac Death (SCD) events.
Timely alerts sent to community healthcare workers, enabling rapid response.

Conclusions:

The proposed system offers a low-cost, effective solution for remote patient monitoring.
The integrated emergency response mechanism enhances patient safety and facilitates prompt medical intervention.
This technology has the potential to significantly improve outcomes for individuals at risk of Sudden Cardiac Death (SCD).