Abstract: A method including receiving an input data set for an expectant mother during a time window, the input data set including fetal heart rate data; completing the input data set with a missing data sample to provide a completed data set; removing a segment from the completed data set based on at least one criterion to provide a corrected data set; calculating a baseline fetal heart rate based at least on the corrected data set; detecting an event occurring during the time window based at least on at least one of the corrected data set or the baseline fetal heart rate; classifying the event as either an acceleration, a deceleration, or a baseline change based on at least one of the corrected data set or the baseline fetal heart rate; and generating an output indicative of at least the event to enable an action with respect to the expectant mother.

Abstract: A method including receiving an input data set for an expectant mother during a time window, the input data set including fetal heart rate data; completing the input data set with a missing data sample to provide a completed data set; removing a segment from the completed data set based on at least one criterion to provide a corrected data set; calculating a baseline fetal heart rate based at least on the corrected data set; detecting an event occurring during the time window based at least on at least one of the corrected data set or the baseline fetal heart rate; classifying the event as either an acceleration, a deceleration, or a baseline change based on at least one of the corrected data set or the baseline fetal heart rate; and generating an output indicative of at least the event to enable an action with respect to the expectant mother.

Abstract: A method of analyzing neurophysiological data recorded from a subject is disclosed. The method comprises identifying activity-related features in the data, and parceling the data according to the activity-related features to define a plurality of capsules, each representing a spatiotemporal activity region in the brain. The method further comprises comparing at least some of the defined capsules to at least one reference capsule, and estimating a brain function of the subject based on the comparison.

Abstract: A method of configuring a local brain stimulation tool is disclosed. The method comprises: obtaining a reference brain network activity (BNA) pattern, and a BNA pattern describing a neurophysiological state of the subject, each of the BNA patterns having a plurality of nodes and each node representing a brain location and at least one brain wave frequency. The method further comprises comparing the BNA patterns; and configuring the local brain stimulation tool to apply local brain stimulation at a frequency selected based on the comparison.

Abstract: A method of analyzing neurophysiological data recorded from a subject is disclosed. The method comprises identifying activity-related features in the data, and parceling the data according to the activity-related features to define a plurality of capsules, each representing a spatiotemporal activity region in the brain. The method further comprises comparing at least some of the defined capsules to at least one reference capsule, and estimating a brain function of the subject based on the comparison.

Abstract: A method of analyzing neurophysiological data recorded from a subject is disclosed. The method comprises identifying activity-related features in the data, and parceling the data according to the activity-related features to define a plurality of capsules, each representing a spatiotemporal activity region in the brain. The method further comprises comparing at least some of the defined capsules to at least one reference capsule, and estimating a brain function of the subject based on the comparison.

Abstract: A method of analyzing neurophysiological data is disclosed. The method comprises: identifying activity-related features in the data, constructing a brain network activity (BNA) pattern having a plurality of nodes, each representing a feature of the activity-related features, and assigning a connectivity weight to each pair of nodes in the BNA pattern.

Abstract: A method of estimating the likelihood of brain concussion from neurophysiological data acquired from the brain of the subject is disclosed. The method comprises: identifying activity-related features in the data; constructing a subject-specific brain network activity (BNA) pattern having a plurality of nodes, wherein each node represents a feature of the activity-related features, and each pair of nodes is assigned with a connectivity weight; calculating a BNA pattern similarity describing a comparison between the constructed BNA pattern and a baseline BNA pattern being specific to the subject; and assessing the likelihood of brain concussion responsively to the BNA pattern similarity.

Abstract: A method for functional analysis of neurophysiological data by decomposing neurophysiological data and EEG signal to form a plurality of signal features. The signal features may then optionally be analyzed to determined one or more patterns.

Abstract: A method of managing pain using neurophysiological data acquired from the brain of a subject is disclosed. The method comprises: identifying activity-related features in the data; parceling the data according to the activity-related features to define a plurality of capsules, each representing a spatiotemporal activity region in the brain; comparing at least some of the defined capsules to at least one reference capsule; and assessing the likelihood that the subject is experiencing pain responsively to the comparison.

Abstract: A method of configuring a local brain stimulation tool is disclosed. The method comprises: obtaining a reference brain network activity (BNA) pattern, and a BNA pattern describing a neurophysiological state of the subject, each of the BNA patterns having a plurality of nodes and each node representing a brain location and at least one brain wave frequency. The method further comprises comparing the BNA patterns; and configuring the local brain stimulation tool to apply local brain stimulation at a frequency selected based on the comparison.

Abstract: A method of managing pain using neurophysiological data acquired from the brain of a subject is disclosed. The method comprises: identifying activity-related features in the data; parceling the data according to the activity-related features to define a plurality of capsules, each representing a spatiotemporal activity region in the brain; comparing at least some of the defined capsules to at least one reference capsule; and assessing the likelihood that the subject is experiencing pain responsively to the comparison.

Abstract: A device for use in reducing or preventing the occurrence of restenosis following procedures such as PTCA, in which a stent is used to hold a bodily lumen open. The device comprises a two layered stent, one lying within the other. Both stent layers have an open weave structure, such that they can expand to the correct dimensions after implantation. The outer stent layer is static and grips the inner wall of the lumen in which it is deployed in the usual manner. The inner layer stent is constructed such that it can be vibrated relative to the outer static stent layer. The inner layer stent may be made of a material which can be vibrated from an external source, such as a ferromagnetic material. This vibration prevents restenosis of the treated lumen. Alternatively, a vibrator, such as a piezoelectric device, can be installed on the inner stent layer.

Abstract: A method of managing pain using neurophysiological data acquired from the brain of a subject is disclosed. The method comprises: identifying activity-related features in the data; parceling the data according to the activity-related features to define a plurality of capsules, each representing a spatiotemporal activity region in the brain; comparing at least some of the defined capsules to at least one reference capsule; and assessing the likelihood that the subject is experiencing pain responsively to the comparison.

Abstract: A method of analyzing neurophysiological data recorded from a subject is disclosed. The method comprises identifying activity-related features in the data, and parceling the data according to the activity-related features to define a plurality of capsules, each representing a spatiotemporal activity region in the brain. The method further comprises comparing at least some of the defined capsules to at least one reference capsule, and estimating a brain function of the subject based on the comparison.

Abstract: A method for functional analysis of neurophysiological data by decomposing neurophysiological data and EEG signal to form a plurality of signal features. The signal features may then optionally be analyzed to determined one or more patterns.

Abstract: Systems and methods for constructing a neural model, wherein the system and method comprises analyzing neuropsychological data to obtain the model and modeling functional plasticity.

Abstract: A device for use in reducing or preventing the occurrence of restenosis following procedures such as PTCA, in which a stent is used to hold a bodily lumen open. The device comprises a two layered stent, one lying within the other. Both stent layers have an open weave structure, such that they can expand to the correct dimensions after implantation. The outer stent layer is static and grips the inner wall of the lumen in which it is deployed in the usual manner. The inner layer stent is constructed such that it can be vibrated relative to the outer static stent layer. The inner layer stent may be made of a material which can be vibrated from an external source, such as a ferromagnetic material. This vibration prevents restenosis of the treated lumen. Alternatively, a vibrator, such as a piezoelectric device, can be installed on the inner stent layer.

Abstract: A method of estimating the likelihood of brain concussion from neurophysiological data acquired from the brain of the subject is disclosed. The method comprises: identifying activity-related features in the data; constructing a subject-specific brain network activity (BNA) pattern having a plurality of nodes, wherein each node represents a feature of the activity-related features, and each pair of nodes is assigned with a connectivity weight; calculating a BNA pattern similarity describing a comparison between the constructed BNA pattern and a baseline BNA pattern being specific to the subject; and assessing the likelihood of brain concussion responsively to the BNA pattern similarity.

Abstract: A method for functional analysis of neurophysiological data by decomposing neurophysiological data and EEG signal to form a plurality of signal features. The signal features may then optionally be analyzed to determined one or more patterns.