Human activity recognition (HAR) technology that analyzes data acquired from various types
of sensing devices, including vision sensors and embedded sensors, has motivated the …

Background Wearable sensors connected via networked devices have the potential to
generate data that may help to automate processes of care, engage patients, and increase …

Cloud computing is a massive amount of dynamic ad distributed resources that are
delivered on request to clients over the Internet. Typical centralized cloud computing models …

Biomedical Signal Analysis for Connected Healthcare provides rigorous coverage on
several generations of techniques, including time domain approaches for event detection …

It is widely recognized that nanoscience and nanotechnology and their subfields, such as
nanophotonics, nanoelectronics, and nanomechanics, have had a tremendous impact on …

Hectic lifestyle coupled sometimes with deficient choices in food and exercise, has led to an
increase in the number of individuals being diagnosed with joint generation disorders. In …

Abstract Analysis of disorders in the human body using computational methods had given
greater impact for diagnosis and cure. Vibroarthrographic signals are noninvasive modality …

Improving health and lives of people is undoubtedly one of the prime goals of healthcare
organizations, policy-makers, and leaders around the world. The need of ageing, disability …

The largest as well as complicated joint in the human body is knee joint. A minor pathology
in human knee can lead to major discomfort to a person. The pathology may be from a …

Edge computing aims to address the challenges associated with communicating and
transferring large amounts of data generated remotely to a data center in a timely and …