The rapid development of biosensing technologies together with the advent of deep learning
has marked an era in healthcare and biomedical research where widespread devices like …

EEG is a common and safe test that uses small electrodes to record electrical signals from
the brain. It has a broad range of applications in medical diagnosis, including diagnosis of …

Objective: Alzheimer's disease (AD) is a progressive neurodegenerative disorder that affects
a significant percentage of the elderly. EEG has emerged as a promising tool for the timely …

The study of time series is crucial for understanding trends and anomalies over time,
enabling predictive insights across various sectors. Spatio-temporal data, on the other hand …

Medical time series (MedTS) data, such as Electroencephalography (EEG) and
Electrocardiography (ECG), play a crucial role in healthcare, such as diagnosing brain and …

Brain disorders pose a substantial global health challenge, persisting as a leading cause of
mortality worldwide. Electroencephalogram (EEG) analysis is crucial for diagnosing brain …

Background Alzheimer's disease (AD) is the most common neurogenerative disorder,
making up 70% of total dementia cases with a prevalence of more than 55 million people …

Electroencephalography (EEG) is a non-invasive method to measure the electrical activity of
the brain and can be regarded as an effective means of diagnosing Alzheimer's disease …

Introduction Diagnosing Alzheimer's disease (AD) lesions via visual examination of
Electroencephalography (EEG) signals poses a considerable challenge. This has prompted …

Distinguishing between Alzheimer's disease (AD) and frontotemporal dementia (FTD)
presents a clinical challenge. Inexpensive and accessible techniques such as …