Recent advances in data analytics and computer-aided diagnostics stimulate the vision of
patient-centric precision healthcare, where treatment plans are customized based on the …

Post-stroke therapy restores lost skills. Traditionally, patients are supported by skilled
therapists who monitor their progress and evaluate the program's effectiveness. Due to a …

This paper tackles the challenge of automatically assessing physical rehabilitation exercises
for patients who perform the exercises without clinician supervision. The objective is to …

The integration of wearable sensor technology and machine learning algorithms has
significantly transformed the field of intelligent medical rehabilitation. These innovative …

Exercise therapy is seen as one of the major treatments for the rehabilitation for patients,
particularly using modern technologies, such as virtual reality or augmented reality …

Robotics is a popular branch of Machine Learning that has grown the interest of researchers
for many years. Machine learning is used for developing various robotic systems which find …

Biomedical engineering is the concept of applying fundamental theories and analytical
practices to medicine and biology. It can be profitable in the field of healthcare from …

The World Health Organization promotes healthy living through regular physical activities,
such as exercise and sports, as well as access to healthcare and rehabilitation services for …

Exercise-based cardiac rehabilitation requires patients to perform a set of certain prescribed
exercises a specific number of times. Local muscular endurance exercises are an important …

The purpose is to study the applicability of digital and intelligent real-time Image Processing
(IP) in fitness motion detection under the environment of the Internet of Things (IoT). Given …