Invention Grant
- Patent Title: Systems and methods for clinical decision making for a patient receiving a neuromodulation therapy based on deep learning
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Application No.: US15849492Application Date: 2017-12-20
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Publication No.: US10729907B2Publication Date: 2020-08-04
- Inventor: Sharanya Arcot Desai , Thomas K. Tcheng
- Applicant: NeuroPace, Inc.
- Applicant Address: US CA Mountain View
- Assignee: NeuroPace, Inc.
- Current Assignee: NeuroPace, Inc.
- Current Assignee Address: US CA Mountain View
- Agency: Loza & Loza, LLP
- Agent David S. Sarisky
- Main IPC: A61N1/36
- IPC: A61N1/36 ; A61N1/05 ; A61N1/372 ; G16H20/70

Abstract:
Information relevant to making clinical decisions for a patient is identified based on electrical activity records of the patient's brain and electrical activity records of other patients' brains. A deep learning algorithm is applied to an electrical activity record of the patient, i.e., an input record, and to a set of electrical activity records of other patients, i.e., a set of search records, to obtain an input feature vector of the patient and a set of search feature vectors, each including features extracted by the deep learning algorithm. A similarities algorithm is applied to the input feature vector and the set of search feature vectors to identify a subset of search records most like the input record. Clinical information associated with one or more search records in the identified subset of search records is extracted from a database and used to make decisions regarding the patient's neuromodulation therapies.
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