The production, testing, and processing of signals without any interpretation is a crucial task
with time scale periods in today's biological applications. As a result, the proposed work …

Diagnostic Biomedical Signal and Image Processing Applications with Deep Learning
Methods presents comprehensive research on both medical imaging and medical signals …

Abstract The Network of Effective Treatment (IoMT) model is used in various clinical trials
and other healthcare operations. It is based on a novel set of ultraprecise tiny sensing …

Smart Health indicates the use of new technologies in the healthcare sector. Literally it
means “intelligent health”, and the intelligence referred to is digital, guaranteed by …

Medical facilities and technologies have been greatly improved through the application of
biosensors, healthcare systems, health diagnosis and disease prevention technologies …

With the rise and advancement of technology, early detection and involvement in health‐
associated monitoring through home control are growing with population aging. The …

The heart is one of the most important organs of the human body. It circulates blood
throughout the human body and delivers oxygen and nutrients to all the organs for …

Patient behavioral analysis is a critical component in treating patients with a variety of
issues, with head trauma, neurological disease, and mental illness. The analysis of the …

Background Recent advances in machine and deep learning based on an increased
availability of clinical data have fueled renewed interest in computerized clinical decision …

Biomedical signals contain features that represent physiological events, and each of these
events has peaks. The analysis of biomedical signals for monitoring or diagnosing diseases …