Recent advances in understanding the importance of respiratory frequency (f R) as a
sensitive marker of a variety of physiopathological stressors are fostering growing interest in …

Respiratory monitoring is essential in sleep studies, sport training, patient monitoring, or
health at work, among other applications. This paper presents a comprehensive systematic …

Current methods for continuous respiration monitoring such as respiratory inductive or
optoelectronic plethysmography are limited to clinical or research settings; most wearable …

There is considerable interest in the noncontact monitoring of patients as it allows for
reduced restriction of patients, the avoidance of single-use consumables and less patient …

Psychological stress may cause various health problems. To prevent the potential chronic
illness that long-term psychological stress could cause, it is important to detect and monitor …

Physical exercise affects many facets of life, including mental health, social interaction,
physical fitness, and illness prevention, among many others. Therefore, several AI-driven …

Assessment of respiratory function allows early detection of potential disorders in the
respiratory system and provides useful information for medical management. There is a wide …

Respiratory disease is the leading cause of death in the UK. Methods for assessing
pulmonary function and chest wall movement are essential for accurate diagnosis, as well …

The recognition of human activity is a challenging topic for machine learning. We present an
analysis of Support Vector Machines (SVM) and Random Forests (RF) in their ability to …

Introduction: There is increasing interest in technologies that may enable remote monitoring
of respiratory disease. Traditional methods for assessing respiratory function such as …