Adaptive QRS Detection Based on Maximum A Posteriori Estimation

作者: Per Ola Borjesson , Olle Pahlm , Leif Sornmo , Mats-Erik Nygards

DOI: 10.1109/TBME.1982.324901

关键词:

摘要: A mathematical model for the occurrence of nonoverlapping pulse-shaped waveforms corrupted with colored Gaussian noise is considered purpose QRS detection. The number waveforms, arrival times, amplitudes, and widths are regarded as random variables. joint MAP estimation all unknown quantities consists linear filtering followed by an optimization procedure. class filters introduced which easy to implement. mismatching obtained using this detection complexes investigated. procedure time-consuming modified so that a threshold test obtained. formulation leads "eye-closing" covering segment before well after accepted event. Adaptivity detector gained utilizing past future signal properties in determining thresholds acceptance.

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