SYSTEMS AND METHODS FOR CLINICAL DECISION MAKING FOR A PATIENT RECEIVING A NEUROMODULATION THERAPY BASED ON DEEP LEARNING

    公开(公告)号:US20220379118A1

    公开(公告)日:2022-12-01

    申请号:US17882482

    申请日:2022-08-05

    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.

    SYSTEMS AND METHODS FOR CLINICAL DECISION MAKING FOR A PATIENT RECEIVING A NEUROMODULATION THERAPY BASED ON DEEP LEARNING

    公开(公告)号:US20200316383A1

    公开(公告)日:2020-10-08

    申请号:US16906914

    申请日:2020-06-19

    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.

    Multimodal brain sensing lead
    33.
    发明授权

    公开(公告)号:US10390721B2

    公开(公告)日:2019-08-27

    申请号:US15478168

    申请日:2017-04-03

    Inventor: Thomas K. Tcheng

    Abstract: A medical lead with at least a distal portion thereof implantable in the brain of a patient is described, together with methods and systems for using the lead. The lead is provided with at least two sensing modalities (e.g., two or more sensing modalities for measurements of field potential measurements, neuronal single unit activity, neuronal multi unit activity, optical blood volume, optical blood oxygenation, voltammetry and rheoencephalography). Acquisition of measurements and the lead components and other components for accomplishing a measurement in each modality are also described as are various applications for the multimodal brain sensing lead.

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