85 results about "Data complexity" patented technology

Systems and methods detect electrical activity in the human brain in the form of the generated magnetic fields and map the magnetic field strength to the surface of the cerebral cortex. By mapping the measured magnetic fields to the sulcal-defined gyrus of the cerebral cortex rather than to its three-dimensional volume, the data complexity and the resulting image are dramatically reduced. The device allows an inventory of brain function, including, but not limited to, vision, sound, sensory, and cognition, with the sensors placed over the corresponding region or regions of interest of the brain.

The invention discloses a deep learning characteristic generalization method based on a latent variable model. The method is carried out according to the following steps that: S1: on the basis of thelatent variable model, establishing one pair of bidirectional parametric mapping between data space and latent variable space, and combining with a weighted relationship to construct a characteristicgeneralization layer; S2: embedding the characteristic generalization layer into a deep neural network, and dividing the network into three parts, including a DNN (Deep Neural Network)-1, the characteristic generalization layer and a DNN-2; S3: determining the optimization objective of the model, and defining a target function; and S4: lowering characteristic pattern data complexity, and establishing a multi-branch parallel forward propagation structure. The method is favorable for improving the generalization ability of a deep network model, and an overfitting phenomenon during small-scale data training can be lightened. Compared with other methods which use a generative model to enhance data, the method disclosed by the invention simplifies network complexity and improves training efficiency.

A closed loop method and apparatus for controlling the administration of an hypnotic drug to a patient. Electroencephalographic (EEG) signal data is obtained from the patient. At least one measure of the complexity of the EEG signal data is derived from the data. The complexity measure may comprise the entropy of the EEG signal data. The EEG signal data complexity measure is used as the feedback signal in a control loop for an anesthetic delivery unit to control hypnotic drug administration to the patient in a manner that provides the desired hypnotic level in the patient. An EEG signal complexity measure obtained from the cerebral activity of the patient can be advantageously used in conjunction with a measure of patient electromyographic (EMG) activity to improve the response time of hypnotic level determination and of the feedback control of drug administration. A pharmacological transfer function may be used, along with pharmacokinetic and pharmacodynamic models.

The invention provides an intelligent terminal complete icon arrangement method and device. The method comprises the following steps: an intelligent terminal scans equipment in an intelligent domestic environment to obtain parameters of the equipment and a screen size of the intelligent terminal, wherein the parameters comprise the quantity of the equipment, icons, icon sizes and utilization frequency; satisfaction degree values of the equipment are set and are pre-arrayed on the intelligent terminal; the equipment parameters and the screen size of the intelligent terminal are combined to carry out greedy operation to obtain a loading sequence of the equipment; and the intelligent terminal dynamically loads the equipment icons according to the loading sequence of the equipment. According to the intelligent terminal complete icon arrangement method and device, a plurality of corresponding solutions are provided for complete icon selection and arrangement problems when the data complex rates are different; and the method is simple and rapid, the icons are arrayed reasonably and the user practicability is enhanced.