Dear Colleagues,

This special issue aims to bring together the state-of-the-art information about the modern data analysis methods in clinical motion analysis, clinical signal processing, innovative sensor systems and sensor networks, handling, and storage of public health data. Special attention will be reserved for methods involving artificial intelligence, machine learning, and classification.

The methodological papers can be focussed both on the metrological features and on the clinical applications of the methods. In fact, human motion analysis is acquiring considerable importance in clinical practice as it provides helpful support to the diagnosis and follow-up of patients. The current research is going towards novel methodologies aimed to: (i) simplify the data collection procedures from the clinical point of view, (ii) increase the accuracy and reliability of the measurements, (iii) identify reliable functional evaluation methods, (iv) increase the knowledge about motor-related pathologies and the effect of treatments.

To this purpose, novel measurement protocols and sensors, data processing, and classification methods are strongly needed and are currently the object of extensive research.

This special issue is, therefore, an opportunity to collect innovative and high quality papers on the following topics: biomechanics, comfort, ergonomics, human motion analysis, performance evaluation, occupational medicine, rehabilitation medicine, work-related injuries, modern measurement techniques, sensors and sensor systems, wireless sensor networks, data processing methods, machine learning applied to human performance, clinical information systems and data storage, digital healthcare.

Papers concerning topics related to the previously listed ones may also be considered. Both original research and review articles are open to submission in this issue.

Dr. Andrea Ancillao

Guest Editor

Manuscript Submission Information

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