Rome: July 5th, 2025

Current tag list

From Biolab3

wearable ai imu work-related
electromyography ml renewable
energy emg ultrasound cop
communities hrc ergonomics disorders
classification robots disease parkinson's

Walking ability of individuals fitted with transfemoral bone-anchored prostheses: A comparative study of gait parameters
S. Ranaldi, A. Naaim, C. De Marchis, T. Robert, R. Dumas, S. Conforto, L. Frossard
Clinical Rehabilitation

Position-specific muscle coactivation in human-robot collaboration
S. Ranaldi, D. Bibbo, G. Corvini, M. Schmid, A. de Nobile, S. Conforto
Gait & Posture

Sample volume length and registration accuracy assessment in quality controls of PW Doppler diagnostic systems: a comparative study
G. Fiori, G. Bocchetta, S. Conforto, S.A. Sciuto, A. Scorza
ACTA IMEKO

BioLab3

Biomedical Engineering Laboratory

Phone Number +39 06 5733 7057
Website http://biolab.uniroma3.it
Founder Tommaso D'Alessio
Research group head Silvia Conforto
Lab coordinator Maurizio Schmid
to send an email please replace AT with @

BioLab³, the Biomedical Engineering Laboratory at the Department of Industrial, Electronic and Mechanical 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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