—Electroencephalography (EEG) is the recording of electrical activity produced by the firing of neurons within the brain. These activities can be decoded by signal processing tec...
—Finding the best vector autoregression model for any data set, medical or otherwise, is a process that, to this day, is frequently performed manually in an iterative manner requ...
Ando Celino Emerencia, Lian van der Krieke, Elisab...
—This work presents a new visuo-haptic virtual reality (VR) training and planning system for percutaneous transhepatic cholangio-drainage (PTCD) based on partially segmented virt...
Abstract—Predicting the functional outcomes of spinal cord disorder patients after medical treatments, such as a surgical operation, has always been of great interest. Accurate p...
Sunghoon Ivan Lee, Bobak Mortazavi, Haydn A. Hoffm...
—A measurement technique that decreases the root mean square error (RMSE) of measurements of human joint angles using a personal wireless sensor network (WSN) is reported. Its op...
—In this paper, we propose a general framework for tuning component-level kinematic features using therapists’ overall impressions of movement quality, in the context of a Home...
Vinay Venkataraman, Pavan K. Turaga, Michael Baran...
—Random forests are ensemble methods which grow trees as base learners and combine their predictions by averaging. Random forests are known for their good practical performance, ...
Abstract—We study the problem of signal estimation from nonlinear observations when the signal belongs to a low-dimensional set buried in a high-dimensional space. A rough heuris...
—In this paper, we determine the entire secure degrees of freedom (s.d.o.f.) regions of the K-user Gaussian multiple access (MAC) wiretap channel and the K-user interference chan...
—Opportunistic detection rules (ODRs) are variants of fixed-sample-size detection rules in which the statistician is allowed to make an early decision on the alternative hypothe...
Wenyi Zhang, George V. Moustakides, H. Vincent Poo...