Systems and methods for identifying and tracking neural correlates of baseball pitch trajectories

• US 10,299,695 B2
• Filed: 02/02/2015
• Issued: 05/28/2019
• Est. Priority Date: 08/02/2012
• Status: Active Grant

• Current Assignee: Trustees Of Columbia University In The City Of New York (Columbia University)
• Original Assignee: Trustees Of Columbia University In The City Of New York (Columbia University)
• Inventors: Muraskin, Jordan, Sherwin, Jason, Sajda, Paul
• Primary Examiner(s): Jang, Christian
• Application Number:
  US14/612,233
• Publication Number:
  US 20160242669A1
• Time in Patent Office: 1,576 Days
• CPC Class Codes: A61B 2503/10 Athletes
• CPC Class Codes: A61B 2576/026 for the brain
• CPC Class Codes: A61B 5/0059 using light, e.g. diagnosis by transillumination, diascopy, fluorescence A61B5/0093, A61B5/1455, A61B5/02416 and A61B5/0261 take precedence
• CPC Class Codes: A61B 5/0075 by spectroscopy, i.e. measuring spectra, e.g. Raman spectroscopy, infrared absorption spectroscopy A61B5/0071 takes precedence
• CPC Class Codes: A61B 5/055 involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
• CPC Class Codes: A61B 5/291 for electroencephalography [EEG]
• CPC Class Codes: A61B 5/316 Modalities, i.e. specific diagnostic methods
• CPC Class Codes: A61B 5/375 using biofeedback
• CPC Class Codes: A61B 5/378 Visual stimuli
• CPC Class Codes: A61B 5/742 using visual displays A61B5/339 takes precedence
• CPC Class Codes: G01R 33/4806 Functional imaging of brain activation
• CPC Class Codes: G16H 30/40 for processing medical images, e.g. editing

Abstract

Methods and systems for evaluating a subject'"'"'s response to a task related to a stimulus include a brain activity sensor, such as an EEG sensor, for measuring neural data generated by the subject in response to the visual stimulus. One or more neural discriminators can be calculated based on the neural data. In order to generate one or more neural discriminators, two or more task conditions can be selected for discrimination. The subject'"'"'s performance can be evaluated based on the one or more neural discriminators. Feedback can be provided to the subject to assist in achieving better performance.

Claims

1. A system for evaluating a subject'"'"'s response when presented with a task related to a stimulus having a trajectory, the system comprising:

a brain activity sensor configured to measure neural response data generated by the subject when presented with the task related to the stimulus having the trajectory;

a signal processing system comprising at least one processor configured to identify one or more neural discriminators associated with the task based on the neural response data using a classifier, wherein the classifier is configured to calculate the one or more neural discriminators that discriminates between two or more task conditions; and

an output device comprising at least one of a monitor or a printer configured to provide information based on the neural discriminators for purposes of evaluation.

2. The system of claim 1, wherein the brain activity sensor comprises an array of brain activity sensors.

3. The system of claim 1, wherein the brain activity sensor comprises an electroencephalography sensor.

4. The system of claim 1, wherein the brain activity sensor comprises a functional magnetic resonance imaging sensor.

5. The system of claim 1, wherein the brain activity sensor comprises a near infrared sensor.

6. The system of claim 1, wherein the two or more task conditions comprise a correct decision and/or an incorrect decision.

7. The system of claim 1, wherein a spatial distribution of the neural response data is applied to the classifier to learn an optimal linear discriminator.

8. A system for evaluating a subject'"'"'s response when presented with a task related to a stimulus having a trajectory, the system comprising:

a brain activity sensor configured to measure neural response data generated by the subject when presented with the task related to the stimulus having the trajectory;

at least one processor;

a computer-readable medium storing instructions that, when implemented, cause the at least one processor to identify one or more neural discriminators associated with the task based on the neural response data using a classifier, wherein the classifier is configured to calculate the one or more neural discriminators that discriminates between two or more task conditions; and

an output device comprising at least one of a monitor or a printer configured to provide information based on the neural discriminators for purposes of evaluation.

9. The system of claim 8, wherein the two or more task conditions comprise a correct decision and/or an incorrect decision.

10. The system of claim 8, wherein a spatial distribution of the neural response data is applied to the classifier to learn an optimal linear discriminator.