LMAM research focus on the design of wearable and implanted systems to characterise and evaluate pathologies affecting motor function such as osteoarthritis, frailty in ageing, pain, stroke, neurologic disorder or to study motor performances in sports in terms of kinematics, kinetics and energy expenditure. This involves mainly multi-parametric approach, advanced signal processing, non-linear and complexity analysis, sensors’ fusion algorithms, and modeling of biomechanics of movement to devise new methods for gait analysis, activity recognition, functional tests and to extract relevant disease/health related features hidden in human biomechanical signals.
The main research topics are:
LMAM is involved in several projects related to activity monitoring in different cohorte of subjects, where activity classification and movement dynamics and complexity are studied.
Wearable system usable in clinical setting are studied for gait analysis, static and dynamic balance and devising tests for motor functional assessment.
Biomechanics of the movement and metrics of performance are studied using wearable systems and during field measurements in different sports such as running, skiing and swimming. These studies focus also for safety and risk of injury in sport.
Joint kinematics and dynamics are used in biomechanics, for outcome evaluation in orthopedics and to simulated the joint function before and after joint replacement.