Biosignal-based technology has been increasingly available in our daily life, being a critical
information source. Wearable biosensors have been widely applied in, among others …

Abstract Nowadays, Artificial Intelligence (AI) based modeling is the major consideration to
build efficient, automated, and smart systems for our today's needs. Many companies are …

Falls in older people are a major health concern as the leading cause of disability and the
second most common cause of accidental death. We developed a rapid fall risk assessment …

With the development of wearable devices such as smartwatches, several studies have
been conducted on the recognition of various human activities. Various types of data are …

Industrial data scarcity is one of the largest factors holding back the widespread use of
machine learning in manufacturing. To overcome this problem, the concept of transfer …

Introduction Parkinson's disease is one of the most prevalent neurodegenerative diseases.
In the most advanced stages, PD produces motor dysfunction that impairs basic activities of …

Musculoskeletal disorders (MSD) are a highly prevalent work-related health problem.
Biomechanical exposure to hazardous postures during work is a risk factor for the …

R peak detection is fundamental to the analysis of long-term electrocardiogram (ECG)
signals. Despite their significant success in R peak detection, neural networks based on …

12-lead electrocardiogram (ECG) delineation is a critical step in diagnosing of various heart
diseases. Current practices for 12-lead ECG delineation typically involve processing each of …

The behavior of cattle holds valuable insights into their health, well-being, and productivity.
Accurately classifying their diverse actions has become increasingly important in modern …