Wanneer u tabellen koppelt via relaties, vergroot u het bereik of decontextwaarin uw formules worden geëvalueerd. Formules in een draaitabel kunnen bijvoorbeeld worden beïnvloed door filters of kolom- en rijkoppen in de draaitabel. U kunt formules schrijven waarmee de...
Isolated statistical comparisons of results for subjects with abnormal EEG recordings: (a) across classifications, and (b) across classification methods with significant results. Kruskal–Wallis test P-value significance thresholds set at: *\(P<.01\), **\(P< .001\). Unmarked comparisons within ...
arealso consistent with poorer neutralization of the virus with the full set of B.1.351-spike m...
In ERP-image plots, EEG data epochs (trials) are first sorted along some relevant dimension (for example, subject reaction times, within-trial theta power levels, mean voltage in a given latency window, alpha phase at stimulus onset, or etc.), then (optionally) smoothed across neighboring tri...
An efficient method is desired to first identify the set of features from multiple modalities that are important for a specific biological condition of interest (e.g., cell type) and then, quantify the relationship across these features. Here, we introduce an explainable multi-task deep neural ...
The first is for digital mammography readings. The second is for lung cancer detection. The challenges are not yet launched. Access: http://coding4cancer.org/ EEG Challenge Datasets on Kaggle Melbourne University AES/MathWorks/NIH Seizure Prediction - Predict seizures in long-term human ...
Data Augmentation for Seizure Prediction with Generative Diffusion Model Data augmentation (DA) can significantly strengthen the electroencephalogram (EEG)-based seizure prediction methods. However, existing DA approaches are ju... K Shu,L Wu,Y Zhao,... - 《IEEE Transactions on Cognitive & Developmen...
Decomposition and feature extraction are done using Stockwell-transform for the ECG signal, while Discrete Wavelet Transform (DWT) is used for EEG. These ... A Belle,RH Hargraves,K Najarian - 《Computational & Mathematical Methods in Medicine》 被引量: 31发表: 2012年 ECG signal enhancement usin...
Here, we estimate a 16-channel spectro-temporal response function (STRF) from 2 minutes of EEG data recorded while a human participant listened to natural speech. To map in the forward direction (encoding model), we set the direction of causality to 1. To capture the entire STRF timecour...
We start with high dimensional data \(\hat{Y}\), for example an EEG recording with a large number of channels or an fMRI data set with a large number of voxels or ROI’s, recorded at discrete time intervals. The data can have more than one trial. Our implementations work transparently...