Rome: March 13th, 2026

Current tag list

From Biolab3

renewable muscle synergies networks
prediction classification fluid modular
one-health hrc monitoring artificial
bird dynamics sts fatigue
hd-emg task time-space ultrasound
neural detection failure com
energies control analysis electromyography
onset accelerometer

Margins of stability of individuals with bone-anchored or socket-suspended transfemoral prostheses
T. Robert, S. Ranaldi, A. Naaïm, C. De Marchis, R. Dumas, S. Conforto, L. Frossard
29th Congress of the European Society of Biomechanics

Intelligent human–computer interaction: combined wrist and forearm myoelectric signals for handwriting recognition
A. Tigrini, S. Ranaldi, F. Verdini, R. Mobarak, M. Scattolini, S. Conforto, M. Schmid, L. Burattini, E. Gambi, S. Fioretti, A. Mengarelli
Bioengineering

Circulating Extracellular Vesicles in Alcoholic Liver Disease Affect Skeletal Muscle Homeostasis and Differentiation
L. Barberi, C. Porcu, C. Boccia, M. Cosentino, C. Nicoletti, B. Peruzzi, F. Iosi, F. Forconi, G. Bagnato, G. Dobrowonly, S. Di Cola, L. Lapenna, G. Cera, M. Merli, and A. Musarò
J cachexia sarcopenia muscle

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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