Rome: December 8th, 2022

Current tag list

From Biolab3

posture semg text ica
coactivation neck modular ergonomics
fatigue mdf prosthetics emd
muscular smartphone limb modules
ultrasound mnf control
emg walking doppler echography

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

A data-based system for the optimization of emergency medical services allocation in rural countries
G. Guarino, I. Bernabucci, D. Bibbo, M. Caviglia, AJ. Ambai, G. Putoto, L. ragazzoni, F. Tognon, MJ. Vandy, F. Barone-Adesi, M. Schmid
ISCC2022 - IEEE Symposium on Computers and Communications - Workshop ICTS4eHealth

A preliminary study on a novel approach to the assessment of the sample volume length and registration accuracy in PW Doppler quality control
G. Fiori, A. Scorza, M. Schmid, J. Galo, S. Conforto, SA. Sciuto
MEMEA 2022 - IEEE International Symposium on Medical Measurements and Applications


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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Theses @ BioLab3