Detection of Uterine MMG Contractions Using a Multiple Change Point Estimator and the K-Means Cluster Algorithm - La Rosa, Patricio S.; Nehorai, Arye; Eswaran, Hari; Lowery, Curtis L.; Preissl, Hubert (IEEE transactions on biomedical engineering, 2008)
Keywords: Action Potentials - physiology; Algorithms; Artificial Intelligence; Asymptotic properties; Autoregressive process; Change detection algorithms; changepoint detection; Cluster Analysis; Clustering algorithms; Criteria; Detection algorithms; Diagnosis, Computer-Assisted - methods; Electromyography - methods; False alarms; Female; Humans; Magnetics; magnetomyogram (MMG); Mathematical models; Muscle Contraction - physiology; Patients; Pattern Recognition, Automated - methods; Pregnancy; Probability; Robustness; Segments; Silicon carbide; Statistical analysis; Statistical distributions; Studies; Testing; uterine contraction; Uterine Contraction - physiology