Method, system, and computer-accessible medium for classification of at least one ictal state
AssigneeNew York University
InventorsPiotr W. Mirowski, Deepak Madhavan, Yann Lecun, Ruben Kuzniecky
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Abstract
An exemplary methodology, procedure, system, method and computer-accessible medium can be provided for receiving physiological data for the subject, extracting one or more patterns of features from the physiological data, and classifying the at least one state of the subject using a spatial structure and a temporal structure of the one or more patterns of features, wherein at least one of the at least one state is an ictal state.
Claims47
A method for classifying at least one state of a subject, comprising:
- receiving physiological data for the subject;
- extracting one or more patterns of features from the physiological data;
- and
- using a computing arrangement, classifying the at least one state of the subject using a spatial structure and a temporal structure of the one or more patterns of features, wherein at least one of the at least one state is an ictal state.
2-13. (canceled)
15-17. (canceled)
20-22. (canceled)
24-31. (canceled)
A computer-accessible medium for classifying at least one state of a subject, the computer-accessible medium including instructions thereon, wherein, when a computing arrangement executes the instructions, the computing arrangement is configured to perform procedures comprising:
- receiving physiological data for the subject;
- extracting one or more patterns of features from the physiological data of the subject;
- and
- using a computing arrangement for classifying the at least one state of the subject using at least one of a spatial structure and a temporal structure of the one or more patterns of features, wherein at least one of the at least one state is an ictal state.
A system for classifying at least one state of a subject, comprising:
- an input module, which, when executed by a computing arrangement, causes the computing arrangement to obtain one or more first extracted patterns of features from physiological data of a subject at a particular time interval;
- and
- a classifier module, which, when executed by the computing arrangement, causes the computing arrangement to classify at least one state of the subject using at least one of a spatial and temporal structure of the one or more extracted patterns of features, wherein at least one of the at least one state is an ictal state.
41-42. (canceled)
44-48. (canceled)
(canceled)
(canceled)
The method of claim 20, wherein the measure of the synchronization is based on wavelet analysis-based synchrony values grouped in one or more frequency bands.
Dependencies are inferred from the claim text.