Body surface potential mapping provides comprehensive acquisition of bioelectric signals across the thorax and is predicted to find clinical utility combined with computational modeling and AI.
Body surface potential mapping (BSPM) is a noninvasive modality to assess cardiac bioelectric activity with a rich history of practical applications for both research and clinical investigation. BSPM provides comprehensive acquisition of bioelectric signals across the entire thorax, allowing for more complex and extensive analysis than the standard electrocardiogram (ECG). Despite its advantages, BSPM is not a common clinical tool. BSPM does, however, serve as a valuable research tool and as an input for other modes of analysis such as electrocardiographic imaging and, more recently, machine learning and artificial intelligence. In this report, we examine contemporary uses of BSPM, and provide an assessment of its future prospects in both clinical and research environments. We assess the state of the art of BSPM implementations and explore modern applications of advanced modeling and statistical analysis of BSPM data. We predict that BSPM will continue to be a valuable research tool, and will find clinical utility at the intersection of computational modeling approaches and artificial intelligence.
Bergquist et al. (Fri,) conducted a review in Cardiac bioelectric activity assessment. Body surface potential mapping (BSPM) vs. Standard electrocardiogram (ECG) was evaluated. Body surface potential mapping provides comprehensive acquisition of bioelectric signals across the thorax and is predicted to find clinical utility combined with computational modeling and AI.