Computerized ECG interpretation software


Advancing the interpretation and understanding of cardiac biosignals

The first human electrocardiogram (ECG) was recorded in 1887. Since then, the clinical use, methods of interpretation, and ability to record cardiac biosignals have continued to evolve.

Ian Rowlandson is a biomedical engineer and chief scientist of diagnostic cardiology for GE Healthcare, which supplies Mayo Clinic’s ECG technology. In this episode of Mayo Clinic’s “Cardiovascular CME” podcast, he sits down with hosts Anthony Kashou, M.D., and Peter Noseworthy, M.D., to discuss how the use of computerized electrocardiography software has advanced ECG interpretation, clinical workflows, and the overall understanding of electrophysiology.

Discussion highlights include:

  • The history of computerized electrocardiography software.
  • The evolution of the automated ECG interpretation process.
  • Challenges in the development of ECG algorithms.
  • Diagnoses that are difficult for ECG algorithms to capture.
  • The future of computerized electrocardiography.

Listen to the full episode here.

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Cory Pedersen (@cpedersen)

Cory Pedersen