Background falls and fall-related injuries are common in older adults, have negative effects
on functional independence and quality of life and are associated with increased morbidity …

Smart wearables collect and analyze data, and in some scenarios make a smart decision
and provide a response to the user and are finding more and more applications in our daily …

The Internet of Things (IoT) is playing a vital role in the rapid automation of the healthcare
sector. The branch of IoT dedicated towards medical science is at times termed as …

The goal of Internet of Medical Things (IoMT) and digital healthcare systems is to provide
people with the ease of receiving quality healthcare at the comfort of their homes. Hence, the …

Fall risk assessment and fall detection are crucial for the prevention of adverse and long-
term health outcomes. Wearable sensor systems have been used to assess fall risk and …

Neurodegenerative diseases (NDD) are progressive degenerative disorders of the
neurological system with significant social impact worldwide. Their detection at the initial …

Background wearable sensors are often used to acquire data for gait analysis as a strategy
to study fall events, due to greater availability of acquisition platforms, and advances in …

The use of wearable equipment and sensing devices to monitor physical activities, whether
for well-being, sports monitoring, or medical rehabilitation, has expanded rapidly due to the …

Recently, wearable devices have got increasing popularity in wide applications in medical
and disaster rescue efforts to ensure the health and safety of users, which facilitates the …

Since the surface electromyography signal (sEMG) is a weak and unstable signal, human
action recognition based on sEMG time domain or frequency domain feature extraction has …