1 citations · 1 across the 1 of their papers we have counts for
3 papers
Pain Detection with fNIRS-Measured Brain Signals: A Personalized Machine Learning Approach Using the Wavelet Transform and Bayesian Hierarchical Modeling with Dirichlet Process Priors
Daniel Lopez-Martinez, Ke Peng, Arielle Lee +2
Currently self-report pain ratings are the gold standard in clinical pain assessment. However, the development of objective automatic measures of pain could substantially aid pain…
Multi-task multiple kernel machines for personalized pain recognition from functional near-infrared spectroscopy brain signals
Daniel Lopez-Martinez, Ke Peng, Sarah C. Steele +3
Currently there is no validated objective measure of pain. Recent neuroimaging studies have explored the feasibility of using functional near-infrared spectroscopy (fNIRS) to measu…
ADIS - A robust pursuit algorithm for probabilistic, constrained and non-square blind source separation with application to fMRI
Gautam Pendse, David Borsook, Lino Becerra
In this article, we develop an algorithm for probabilistic and constrained projection pursuit. Our algorithm called ADIS (automated decomposition into sources) accepts arbitrary no…