Bioengineering of Human Movement

The group has a long and consolidated experience of participation in funded research projects as well as collaboration and technology transfer to industry at international and national level, also supported by a reliable network of academic and non-academic partners. The research activity is addressed to the multiple aspects of the quantification of motor function both from the point of view of the biomechanics of the musculoskeletal system and from that of motor control, in terms of characterization of development and evaluation of performance in the healthy and pathologic subjects. The fields of application range from the clinical (e.g. development of methods for the diagnosis and monitoring of pathology) to the sport (e.g. quantification of performance and injury prevention), from the methodological (e.g. development of methods and tools) to the modeling one (e.g. characterization and description of motor function in specific populations). 

Skills of the research group: 

  • Technologies and methods for movement analysis: clinical, ergonomics, sport 
  • Technologies and methods for personalized medicine: from prevention to treatment 
  • Technologies and methods for monitoring and rehabilitation 
  • Technologies and methods for healthy and active aging and prevention of falls 
  • Artificial Intelligence for risk stratification and prediction of adverse events and trajectories of functional decline 
  • Technologies and methods for the quantification and monitoring of the maturation of motor control in the age of development (typical and pathological) 
  • Advanced processing of biomedical data and signals, models and algorithms 
  • Design of Personal Health Systems and Smart Environments

ERC Fields 

  • LS7_1 - Medical engineering and technology 
  • LS2_14 - Biological systems analysis, modelling and simulation  
  • PE6_11 - Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video) 
  • PE6_12 - Scientific computing, simulation and modelling tools 

Scientific Coordinator: Prof. Lorenzo Chiari 

Faculty

Angelo Cappello

Full Professor

Lorenzo Chiari

Full Professor

Silvia Fantozzi

Associate Professor

Sabato Mellone

Junior assistant professor (fixed-term)

Rita Stagni

Associate Professor

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