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Body Surface Potential Mapping: Contemporary Applications and Future Perspectives.

Jake Bergquist1,2,3, Lindsay Rupp1,2,3, Brian Zenger1,2,3,4

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Body surface potential mapping (BSPM) offers comprehensive cardiac bioelectric signal analysis, surpassing standard ECG. Future applications integrate computational modeling and artificial intelligence for enhanced clinical utility and research.

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Area of Science:

  • Biomedical Engineering
  • Cardiology
  • Medical Imaging

Background:

  • Body surface potential mapping (BSPM) is a noninvasive method for assessing cardiac bioelectric activity.
  • BSPM provides extensive thoracic bioelectric signal data, exceeding standard electrocardiogram (ECG) capabilities.
  • Despite its advantages, BSPM is underutilized in clinical settings.

Purpose of the Study:

  • To examine contemporary applications of BSPM.
  • To assess the future potential of BSPM in clinical and research domains.
  • To explore advanced modeling and statistical analysis of BSPM data.

Main Methods:

  • Review of current Body Surface Potential Mapping (BSPM) implementations.
  • Analysis of contemporary research and clinical uses of BSPM.
  • Exploration of advanced computational modeling and statistical techniques applied to BSPM data.

Main Results:

  • BSPM is a valuable research tool, providing comprehensive cardiac bioelectric data.
  • BSPM serves as input for electrocardiographic imaging, machine learning, and artificial intelligence.
  • Current state-of-the-art BSPM implementations are being assessed.

Conclusions:

  • BSPM is predicted to remain a vital research tool.
  • BSPM is expected to gain clinical utility through integration with computational modeling and AI.
  • The future of BSPM lies at the intersection of advanced analytics and clinical application.