Massachusetts Institute of Technology

University of Texas System

Luca Giancardo

Carlos Sanchez Mendoza

Ian Butterworth

Alvaro Sanchez Ferro

Sunil A Sheth

Sean I Savitz

Aurelien Bourquard

Tobias Hahn

In one embodiment, a patient's brain is evaluated after onset of a stroke by capturing computed tomography angiography (CTA) images of the brain, analyzing the CTA images with a CTA image analysis program to evaluate the patient's brain, and generating results based upon the analysis that provide an assessment of the brain. In some cases, the CTA image analysis program comprises a machine-learning algorithm that has been trained on the results of perfusion imaging analysis.

Systems and methods for evaluating the brain after onset of a stroke using computed tomography angiography

Analysis of keystroke dynamics performed by an individual can be used for assessment and monitoring of the individual's motor function. Keystroke events related to a user pressing one or more keys on a keyboard or regions on a touch screen may be analyzed to identify a plurality of distributions of keystroke event intervals. The plurality of distributions may be analyzed to identify one or more features indicative of variation among the distributions and indicative of the user's motor function. Monitoring of a user's motor function may include comparing a value for a feature for one plurality of distribution to a second value for the same feature for another plurality of distributions.

Apparatus and method for motor function characterization

A system constructs a positional contour of a variably contoured surface using data from aD capture device. A processor captures data from a tangential orientation capture device and produces a set of relative orientations. The set of relative orientations is transformed with a set of orientation manifold transformer parameters to produce a set of low dimensional orientations. The set of low dimensional orientations and a trained mapping function definition are used to produce a low dimensional point cloud. The low dimensional point cloud is transformed with a set of point cloud manifold transformer parameters, producing a reconstructed synchronized rotationally invariant point cloud.

System and method for providing reconstruction of human surfaces from orientation data

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Houston, TX, United States of America

Luca Giancardo