Classification of Electrocardiogram (ECG) Waveforms for the Detection of Cardiac Problems

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Classification of Electrocardiogram (ECG)
Waveforms for the Detection of Cardiac Problems

• By Enda Moloney

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Outline

• Overview of project
• ECG waveform
• Goals
• Health and Safety
• Conclusion

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Overview of Project

• Design of a computer-based system for the
  processing and classification of ECG waveforms
• Help with the detection of abnormalities, eg
  cardiac problems
• The aim of this to help Doctors so patients can
  be referred to a specialist earlier

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Heart
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ECG Waveform

• Electrical signal spreads
• from the right atrium to the
• left atrium, this is a P wave
• on the diagram. This has
• been known to show
• atrium enlargement

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ECG waveform

• The QRS complex corresponds to depolarization of
  ventricles
• Need Matlab and Fourier Analysis to develop
  algorithm for QRS

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T Wave

• The T wave represents the recovery of the
  ventricles
• Inverted T wave can be a sign of coronary problems

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Heart
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Goals

• 3-Nov-08
• Have Matlab extracting ECG waveform, develop a
  algorithm to detect the QRS complex
• 24-Nov-08
• Have Implement a neural network and integrate
  with the Front End Processor. Verity using the
  MIT-BIH database
• 12-Jan-09
• Transfer the ECG system from Matlab to C, as a
  real-time Implementation. The neural network
  needs to be in C.

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Goals

• 9-Feb-09
• Develop hardware circuit to interact with the
  software, thus a circuit that has a ECG sensor
• 9-Mar-09
• Investigate possible extensions of the system.
  Eg. Web-based database system that could be used
  story cardiology records and analysis

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Health and Safety

• Design of electronic circuits
• Hardware/software conflicts
• Testing of human subjects need approval

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Conclusion

• The project links biology, computers and
  engineering electronics
• This could be very useful in the medical field