**Preface to "Electromyography Signal Acquisition and Processing for Movement Analysis"**

The assessment of muscle recruitment is acknowledged as one of the main issues of movement analysis. Muscle activity is typically monitored using surface electromyography (sEMG), a non-invasive technique widely adopted both in research and clinical settings. Recent advancements in commercial EMG signal acquisition technologies and sensors, the development of high-density surface EMG systems, the introduction of sensor fusion, and the availability of data storage and file sharing systems have changed the perspectives surrounding the measuring, capturing, and analysing of EMG signals, specifically in movement analysis. The areas of application are also increasing and differentiating. Besides typical fields such as basic research, clinics, and sports, EMG analysis is increasingly proposed in novel scenarios related to robotics, exoskeleton technology, prosthetics, assistive devices, electrical stimulation, and ergonomics.

The present book is designed to comprehensively cover the open research issues related to the improvement of classic approaches and the development of innovative technology and methodology for EMG-signal acquisition and processing in the domain of movement analysis. Furthermore, the scientific articles included in the current book also aim to focus on different fields of application of EMG analysis, including in clinics, physiology, rehabilitation, sports, and ergonomics. Computational intelligence methods, such as machine and deep learning, have recently emerged as promising tools for the development and application of intelligent systems in interpreting EMG signals. Contributions in this field are also included.

> **Francesco Di Nardo , Valentina Agostini , and Silvia Conforto** *Editors*
