The impact of the Internet of Things (IoT) on the advancement of the healthcare industry is
immense. The ushering of the Medicine 4.0 has resulted in an increased effort to develop …

Abstract Since its inception, Healthcare 4.0 has empowered the integration of advanced
technologies to create and improve the quality of healthcare services. The delivery of …

Epileptic seizures are one of the most crucial neurological disorders, and their early
diagnosis will help the clinicians to provide accurate treatment for the patients. The …

Epilepsy is a brain disorder disease that affects people's quality of life.
Electroencephalography (EEG) signals are used to diagnose epileptic seizures. This paper …

This paper proposes a new method for epileptic seizure detection in
electroencephalography (EEG) signals using nonlinear features based on fractal dimension …

This paper presents a compression study of electrocardiogram (ECG) signals for e-Health
cardiac online diagnostic systems. The study uses 75 real electrocardiogram records …

Ambient Assisted Living (AAL) is becoming a necessity in today's world. It provides care to
the elderly patients who are under observation. With the advancements in the technology …

Mobile health (mHealth) applications are expected to proliferate due to the recent advances
in IoT sensing devices and wireless technologies. Monitoring brain signals using mobile …

Edge machine learning (Edge ML) is expected to serve as a key enabler for real-time mobile
health (mHealth) applications. However, its reliability is governed by the limited energy and …

The extraction of useful knowledge from collected data has always been the holy grail for
enterprises and researchers, supporting efficient decision making, provided service's …