IoT-based emergency cardiac death risk rescue alert system.

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).