In contrast between performance through these scenarios, investigators can determine whether models learn meaningful information that lies in the EEG ... The experiments relied on the following two ...

In this post, I’ll share with you a collection of some of the best learn to read apps out there. As their name indicates, these apps are designed to help your kids learn to decode the written code in ...

Machine Learning (ML) and Deep Learning (DL) algorithms can reduce road accidents through their ability to detect sleepy ...

Submitted to IEEE Transactions on Neural Systems and Rehabilitation Engineering. In this work, we have investigated the effect of EEG data preprocessing on the performance of deep learning models. In ...

The second bottleneck we removed is that typically a bedside physician cannot read an EEG. They rely on very specialized neurologists. Most neurologists don’t know how to read an EEG.

Earlier this year, for instance, a study found that shore crabs showed signs of anxiety in the face of electric shocks and ...

Abstract: The primary aim of this study was to assess the classification performance of deep learning models in distinguishing between resting state and motor imagery swallowing, utilizing various ...

Depression is one of the most common mental illnesses. As many as 280 million people worldwide are affected by this disease, which is why researchers have developed an artificial intelligence (AI) ...

In the audio part of the experiment, the patients participated in a question-and-answer session and several activities ...

In this study, we introduced a novel deep learning approach, called SleepEEGNet, for automated sleep stage scoring using a single-channel EEG. We evaluated our model using the Physionet Sleep-EDF ...