Electroencephalography (EEG) signals are crucial for investigating brain function and
cognitive processes. This study aims to address the challenges of efficiently recording and …

The Internet of Medical Things (IoMT) has revolutionized healthcare, but its vulnerabilities
demand robust security solutions, especially for resource-constrained devices. In this …

Existing domain adaptation (DA) methods typically require access to source domain data,
which raises privacy concerns due to the sensitive information contained in …

The application of the Internet of Things (IoT) is highly expected to have comprehensive
economic, business, and societal implications for our smart lives; indeed, IoT technologies …

To decrease the interference in the process of epileptic feature extraction caused by
insufficient detection capability in partial channels of focal epilepsy, this paper proposes a …

Epilepsy is a chronic neurological disorder that may be diagnosed and monitored using
routine diagnostic tests like Electroencephalography (EEG). However, manual introspection …

The health-related Internet of Things (IoT) plays an irreplaceable role in the collection,
analysis, and transmission of medical data. As a device of the health-related IoT, the …

Objective Scalp electroencephalograms (EEGs) are critical for neurological evaluations,
particularly in epilepsy, yet they demand specialized expertise that is often lacking in many …

The proposed hybrid CNN-BiLSTM architecture aims to address the challenge of detecting
epileptic seizures systematically from EEG signal analysis. The system consists of several …

Early detection and proper treatment of epilepsy seizure is essential and meaningful to
those who suffer from this disease. Symptoms of seizures are confusion, abnormal gazing …