54 results about "Spatial classification" patented technology

The human neural response is coupled with computer pattern analysis for robust single-event detection of significant non-stationary brain responses triggered upon occurrence of a task-relevant stimulus. Classifier performance is enhanced fusing together the outputs of multiple different classifiers albeit multiple spatial classifiers to extract a temporal pattern as the brain response evolves, time and frequency-based spatio-temporal classifiers, and / or EEG and pupillary classifiers.

The present invention provides a method for image deblurring based on correctly specifying the lack of smoothness in the unknown desired sharp image, in terms of Lipschitz (Besov) space classification. The method makes essential use of Singular Integrals and Fast Fourier Transform (FFT) algorithms to estimate the image's Lipschitz exponent α. Such Singular Integrals and Fast Fourier Transforms are then used in a method for regularizing the ill-posed deblurring problem, resulting in a fast, direct, (i.e., non-iterative) computationally effective deblurring procedure.

The invention discloses an ECG signal detection device and analysis method based on a joint neural network. First, a joint neural network algorithm is built on a machine learning server and a model is trained. For the preprocessed ECG data, the model is passed through the residual neural network. The network module extracts the spatial features of the data and obtains the spatial classification probability, and extracts the time-series features of the data on the dimensionality-reduced spatial feature map through the bidirectional long-short-term memory neural network and the attention module to obtain the time-series classification probability, and finally fuses the two classification probabilities Obtain the test results; obtain a small amount of ECG data from the wearable device, manually mark it and input it into the machine learning server for model fine-tuning, and deploy the final model to the smart mobile device; finally, the wearable device and the smart mobile device will be connected through wireless Transport enables real-time anomaly detection. The present invention develops a wearable device from collection to real-time detection of electrocardiographic signals, and provides effective technical means for assisting in the diagnosis of heart diseases.