Wearable Real-Time Heart Attack Detection and Warning System to Reduce Road Accidents

Muhammad E H Chowdhury1, Khawla Alzoubi2, Amith Khandakar3

  • 1Electrical Engineering Department, College of Engineering, Qatar University, Doha-2713, Qatar. mchowdhury@qu.edu.qa.

Insights

A new wearable system detects heart attacks in drivers using ECG data. This technology accurately identifies heart attacks, potentially reducing fatal road accidents caused by sudden cardiac events.

Area of Science:

  • Biomedical Engineering
  • Cardiology
  • Transportation Safety

Background:

  • Heart attacks are a leading cause of death globally and a significant factor in road accidents.
  • Current detection methods are insufficient for real-time driver monitoring, leading to preventable fatalities.

Purpose of the Study:

  • To develop a wearable system for real-time heart attack detection and warning in drivers.
  • To reduce road accidents caused by drivers experiencing sudden cardiac events.

Main Methods:

  • A two-subsystem wearable device: one for ECG recording, another for intelligent detection via Bluetooth.
  • Evaluation of dry electrodes, power consumption, and machine learning algorithms (SVM with EMBD features).

Main Results:

  • Support Vector Machine (SVM) with polynomial kernel and extended modified B-distribution (EMBD) features achieved high accuracy.
  • The system detected 97.4% of ST-elevation myocardial infarction (STEMI) and 96.3% of non-ST-elevation MI (NSTEMI).

Conclusions:

  • The proposed wearable system offers a promising solution for early heart attack detection in drivers.
  • This technology has the potential to significantly decrease road accident fatalities and injuries.

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