From the past few decades many nature inspired algorithms have been developed and
gaining more popularity because of their effectiveness in solving problems of distinct …

Artificial Intelligence (AI) is the domain of computer science that focuses on the development
of machines that operate like humans. In the field of AI, medical disease detection is an …

Particle swarm optimization (PSO) is a heuristic global optimization method, proposed
originally by Kennedy and Eberhart in 1995. It is now one of the most commonly used …

In recent years, there has been major interest in the exposure to physical therapy during
rehabilitation. Several publications have demonstrated its usefulness in clinical/medical and …

Background and objectives Automatic electrocardiogram (ECG) heartbeat classification is
substantial for diagnosing heart failure. The aim of this paper is to evaluate the effect of …

Wearable devices are a fast-growing technology with impact on personal healthcare for both
society and economy. Due to the widespread of sensors in pervasive and distributed …

Path planning algorithms have been used in different applications with the aim of finding a
suitable collision-free path which satisfies some certain criteria such as the shortest path …

This paper presents a literature review on pattern recognition of electromyography (EMG)
signals and its applications. The EMG technology is introduced and the most relevant …

Decision tree algorithms are extensively used in machine learning field to classify
biomedical signals. De-noising and feature extraction methods are also utilized to get higher …

Support vector machine (SVM) is one of the well-known learning algorithms for classification
and regression problems. SVM parameters such as kernel parameters and penalty …