Using artificial intelligence and machine learning techniques in healthcare applications has
been actively researched over the last few years. It holds promising opportunities as it is …

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 …

In a few years, the world will be populated by billions of connected devices that will be
placed in our homes, cities, vehicles, and industries. Devices with limited resources will …

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 …

Embedded systems technology is undergoing a phase of transformation owing to the novel
advancements in computer architecture and the breakthroughs in machine learning …

With the numerous Internet of Things (IoT) devices, the cloud-centric data processing fails to
meet the requirement of all IoT applications. The limited computation and communication …

The Internet of Things (IoT) has important applications in our daily lives, including health and
fitness tracking, environmental monitoring, and transportation. However, sensor nodes in IoT …

Personal mobile devices such as smartwatches, smart jewelry, and smart clothes have
launched a new trend in the Internet of Things (IoT) era, namely the Internet of Wearable …

This paper serves as a survey and empirical evaluation of the state-of-the-art in activity
recognition methods using accelerometers. The paper is particularly focused on long-term …

Due to the rise of connected devices, a decentralised, patient-centred paradigm is being
adopted in healthcare as an alternative to the traditional hospital and specialist-focused …