Abstract: Disclosed herein are systems and methods for revascularization assessment. The methods can in some cases include one or more of the steps of measuring blood perfusion as a function of time to obtain time series data, mathematically transforming the time series data into a power spectrum, calculating at least one parameter of the power spectrum within a specific frequency range, and using the at least one calculated parameter as a discriminator for the first population and the second population.

Abstract: A method for detecting the presence of slowing patterns in an EEG sample comprising a plurality of channels of EEG signals, each channel comprising one or more segments, the method comprising: obtaining a first classifier that is trained to classify EEG samples as containing abnormal slow waves or not; performing a sequence of artifact removal processes on the EEG sample to generate a preprocessed EEG sample; extracting a first feature set from the preprocessed EEG sample; and passing the first feature set to the first classifier to predict whether the EEG sample contains abnormal slow waves or not; wherein the sequence of artifact removal processes comprises removal of one or more ocular artifacts and removal of one or more electrode artifacts.

Abstract: There is provided a method for seizure detection. The method includes: obtaining brain signal data of brain electrical activity of a subject; processing the brain signal data using a deep neural network to obtain a first processed output data of the brain signal data, the first processed output data indicating one or more seizure events in the brain signal data; processing the first processed output data using a statistical model to obtain a second processed output data of the brain signal data, wherein the statistical model is configured to model transitions between the one or more seizure events and one or more non-seizure events in the first processed output data of the brain signal data; and determining the one or more seizure events based on the second processed output data of the brain signal data.

Abstract: A method of monitoring a gas distribution network operating at low pressure, using at least one processor, is provided. The method includes: obtaining sensor data from a plurality of sensors in the gas distribution network configured to detect at least one characteristic of gas flow through the gas distribution network; extracting at least a first type of features from the sensor data; detecting one or more anomalies in the gas distribution network based on at least the first type of features extracted; and determining a location of the one or more anomalies in the gas distribution network based on at least the first type of features extracted. A corresponding system for monitoring a gas distribution network operating at low pressure is provided.

Abstract: Disclosed herein are systems and methods for revascularization assessment. The methods can in some cases include one or more of the steps of measuring blood perfusion as a function of time to obtain time series data, mathematically transforming the time series data into a power spectrum, calculating at least one parameter of the power spectrum within a specific frequency range, and using the at least one calculated parameter as a discriminator for the first population and the second population.

Abstract: A system and method for incorporating partially coherent illumination models into the problem of phase and amplitude retrieval from a stack of intensity images. The recovery of phase could be realized by many methods, including Kalman filters or other nonlinear optimization algorithms that provide least squares error between the measurement and estimation.

Abstract: Disclosed herein are systems and methods for revascularization assessment. The methods can in some cases include one or more of the steps of measuring blood perfusion as a function of time to obtain time series data, mathematically transforming the time series data into a power spectrum, calculating at least one parameter of the power spectrum within a specific frequency range, and using the at least one calculated parameter as a discriminator for the first population and the second population.

Abstract: Disclosed herein are systems and methods for revascularization assessment. The methods can in some cases include one or more of the steps of measuring blood perfusion as a function of time to obtain time series data, mathematically transforming the time series data into a power spectrum, calculating at least one parameter of the power spectrum within a specific frequency range, and using the at least one calculated parameter as a discriminator for the first population and the second population.

Abstract: Systems and methods of the present invention provide for storing an annotated set of confirmed epileptiform discharges (ED) waveforms in a database; receiving, by a computing device, a signal encoding electroencephalograph (EEG) data from a plurality of electrodes each attached to a subject and detecting EEG data; generating a user interface displaying a plurality of waveforms based upon at least a portion of the EEG data; receiving an initial selection of a portion of one of the plurality of waveforms comprising an ED; identifying a list of candidate waveforms including potential EDs by determining an alignment of the initial selection with a portion of one of the plurality of waveforms in the EEG data; displaying the list of candidate waveforms on the user interface; receiving, from the user and via the user interface, an identification of a subset of the list of candidate waveforms; and storing the subset of the list of candidate waveforms as an annotated list of confirmed EDs in the database.

Abstract: A system and method for incorporating partially coherent illumination models into the problem of phase and amplitude retrieval from a stack of intensity images. The recovery of phase could be realized by many methods, including Kalman filters or other nonlinear optimization algorithms that provide least squares error between the measurement and estimation.

Abstract: An intensity image is collected at each of a plurality of locations spaced apart in a propagation direction of a light beam. Information from the intensity images is combined using a Kalman filter which assumes that at least one co-variance matrix has a diagonal form. This leads to considerable reduction in computational complexity. An augmented Kalman filter model (augmented space state model) is used in place of the standard Kalman filter model. The augmented Kalman filter improves the robustness to noise.

Abstract: Disclosed herein are systems and methods for revascularization assessment. The methods can in some cases include one or more of the steps of measuring blood perfusion as a function of time to obtain time series data, mathematically transforming the time series data into a power spectrum, calculating at least one parameter of the power spectrum within a specific frequency range, and using the at least one calculated parameter as a discriminator for the first population and the second population.