Rome: May 20th, 2022

Current tag list

From Biolab3

neck stft text human
dopller mdf medical
fatigue ultrasound synergies tomography
emg doppler echography imaging
mnf semg movement coactivation
ergonomics computed

Assessment of Drivers’ Risk Levels Using a Virtual Reality Simulator
M.R. De Blasiis, C. D'Anna, S. Conforto
AHFE Conference on Human Aspects of Transportation, 2021

An objective, information-based approach for selecting the number of muscle synergies to be extracted via non-negative matrix factorization
S. Ranaldi, C. De Marchis, G. Severini, S. Conforto
IEEE Transactions on Neural Systems and Rehabilitation Engineering

Linking head and neck posture with muscular activity and perceived discomfort during prolonged smartphone texting
C. D'Anna, M. Schmid, S. Conforto
International Journal of Industrial Ergonomics


Biomedical Engineering Laboratory

Phone Number +39 06 5733 7057
Founder Tommaso D'Alessio
Research group head Silvia Conforto
Lab coordinator Maurizio Schmid
to send an email please replace AT with @

BioLabÂł, the Biomedical Engineering Laboratory at the Department of Engineering, Roma Tre University, aims at developing and offering new approaches, methodological innovations, and technological solutions to be applied in the field of human movement science at large.

The field of application ranges from the functional evaluation and analysis of motor and physiological markers associated with neuromuscular disorders and conditions (e.g. Parkinson's disease, Stroke, Prosthesis use, Ageing), to the long-term monitoring and description of the quality of human movement and behaviour in unconstrained scenarios, to the development of technologies for human enhancement, rehabilitation, assistance and social inclusion at all age levels.

To this end, EMG, wearable inertial sensors, marker-based and marker-free kinematics, force sensors are used as data sources, and investigated, often in combination. Application fields include performance optimisation in sport activities, risk assessment in ergonomics, motor recovery monitoring in rehabilitation, evaluation of bio-feedback effects on motor control in neuromechanics.

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