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Evaluation of a root mean squared based ischemia detector on the long-term ST database with body position change cancellation

Abstract:

In this work we revisit an ischemia detector based on the root mean square (RMS) series of the repolarization interval developed and validated using the European Society of cardiology ST-T database (ESCDB). This detector, developed within this database framework, gets sensitivity (S)/positive pbkp_redictivity (+P) performance figures of 85%/86%. Our aim now is to re-evaluate the detector in the much richer Long-Term ST Database where ST episodes of different origin are present, making a much more challenging scenario for the detector. Just a straight forward adaptation of the RMS detector reduces its performance figures, S/+P, to 70%/68%. This, apart from other reasons, is a consequence of the presence in the database of ST episodes generated by body position changes (BPC) which can be misinterpreted. A BPC detector incorporated to the previous detector noticeably improves the figures up to 75%/71%. © 2005 IEEE.