Showing results (1-10 of 269) with videos related to

Sort By:
Pageof 27
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
ε-Tube regression: a new method for motion artifact reductionSardar Ansari, Kevin Ward, Kayvan Najarian
IEEE Journal of Biomedical and Health Informatics|April 12, 2014
Epsilon-tube filtering: reduction of high-amplitude motion artifacts from impedance plethysmography signalSardar Ansari, Kevin Ward, Kayvan Najarian
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Noise Detection in Electrocardiography Signal for Robust Heart Rate Variability Analysis: A Deep Learning ApproachSardar Ansari, Jonathan Gryak, Kayvan Najarian
IEEE Journal of Biomedical and Health Informatics|February 11, 2016
Motion Artifact Suppression in Impedance Pneumography Signal for Portable Monitoring of Respiration: An Adaptive ApproachSardar Ansari, Kevin R Ward, Kayvan Najarian
IEEE/ACM Transactions on Computational Biology and Bioinformatics|September 18, 2018
Preprocessing Sequence Coverage Data for More Precise Detection of Copy Number VariationsFatima Zare, Sardar Ansari, Kayvan Najarian, et al.
BMC Medical Informatics and Decision Making|November 7, 2009
A hierarchical method based on active shape models and directed Hough transform for segmentation of noisy biomedical images; application in segmentation of pelvic X-ray imagesRebecca Smith, Kayvan Najarian, Kevin Ward
Physiological Measurement|July 26, 2016
Suppression of false arrhythmia alarms in the ICU: a machine learning approachSardar Ansari, Ashwin Belle, Hamid Ghanbari, et al.
BMC Medical Informatics and Decision Making|November 7, 2009
Brain mapping and detection of functional patterns in fMRI using wavelet transform; application in detection of dyslexiaSoo-Yeon Ji, Kevin Ward, Kayvan Najarian
BMC Medical Informatics and Decision Making|October 17, 2012
Non-linear dynamical signal characterization for prediction of defibrillation success through machine learningSharad Shandilya, Kevin Ward, Michael Kurz, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 8, 2009
Hierarchical object recognition in Pelvic CT ImagesSimina Vasilache, Wenan Chen, Kevin Ward, et al.
Pageof 27