Constitution
发表于 2025-3-30 11:54:29
EEG Classification of Epileptic Patients Based on Signal Morphology statistical characteristic that promotes greater separation between the two groups, this characteristic was calculated from a set of 119 electroencephalograms from the CHB-MIT database. The acquired characteristic vectors were classified using linear classifiers, reaching 97% accuracy. The results
制定法律
发表于 2025-3-30 16:27:37
Epileptiform Spike Detection in Electroencephalographic Recordings of Epilepsy Animal Models Using Vter adaptability to the algorithm and cope with the variable nature of epileptiform spikes. The algorithm was applied to recordings of animals submitted to acute seizures induced by a chemoconvulsant and results were compared to the visual detection of a specialist. Results showed the proposed algor
Gratuitous
发表于 2025-3-30 18:47:11
Graph Model Evolution During Epileptic Seizures: Linear Model Approachalready applied for that purpose, can be used. Hence, the objective in this work was to carry out PDC connectivity analysis in combination with Surrogate Data to evaluate the communication threshold between brain areas and develop a graph model evolution during epileptic seizure, according to the cl
Negligible
发表于 2025-3-30 23:57:55
Method for the Improvement of Knee Angle Accuracy Based on Kinect and IMU: Preliminary ResultsKalman filter and are obtained from a mathematical equation that allows them to be merged. The fusion system data obtains acceptable RMS error values of 5.5. and an average consistency of 92.5% for the sagittal plane with respect to the goniometer technique. The data is shown through an interface th
Chemotherapy
发表于 2025-3-31 02:38:33
Pavol Quittner,Philippe Souplet. Linear classifiers based on Dragon conformation-independent descriptors were generated through an in-house routine in R environment and validated through standard validation procedures. They were later combined through different ensemble learning schemes. The best ensemble comprised the 29 best-pe
拱墙
发表于 2025-3-31 05:24:49
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