Rome: December 4th, 2023

Current tag list

From Biolab3

emg mdf control semg
mnf prosthetics ultrasound
sts ergonomics echography dynamics
cop walking sensors imaging
fatigue limb medical ptt
blood modular

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

Use of a modified SIR-V model to quantify the effect of vaccination strategies on hospital demand during the Covid-19 pandemic
G. Pacetti, F. Barone-Adesi, G. Corvini, C. D'Anna, M. Schmid
EMBC 2022 - 44th Annual International Conference of the Engineering in Medicine & Biology Society

Novel quality assessment protocol based on Kiviat diagram for pulsed wave Doppler diagnostic systems: first results
G. Fiori, G. Bocchetta, M. Schmid, S. Conforto, S.A. Sciuto, A. Scorza
26th IMEKO TC4 International Symposium and 24th International Workshop on ADC/DAC Modelling and Testing


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 @

BioLabĀ³, 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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Nuova Laurea Interclasse in Ingegneria Biomedica

Theses @ BioLab3