Mauricio Villarroel

TL;DR: MIMIC-II documents a diverse and very large population of intensive care unit patient stays and contains comprehensive and detailed clinical data, including physiological waveforms and minute-by-minute trends for a subset of records.

TL;DR: This work has devised a novel method of cancelling out aliased frequency components caused by artificial light flicker, using auto-regressive (AR) modelling and pole cancellation, and has been able to construct accurate maps of the spatial distribution of heart rate and respiratory rate information from the coefficients of the AR model.

TL;DR: In this article, an automated Perl-based de-identification software package is described that is generally usable on most free-text medical records, e.g., nursing notes, discharge summaries, X-ray reports, etc.

TL;DR: It is shown that continuous estimates of heart rate, respiratory rate and oxygen saturation can be computed with an accuracy which is clinically useful, and the authors have shown that clinically important events such as a bradycardia accompanied by a major desaturation can be identified with their algorithms for processing the video signal.

TL;DR: A novel method is presented to track oxygen saturation changes in a controlled environment using an RGB camera placed approximately 1.5 m away from the subject and carefully selects regions of interest in the camera image by calculating signal-to-noise ratios for each ROI.