Rome: March 22nd, 2023

Current tag list

From Biolab3

control public limb
biomedical electromyography instrumentation cop
health prosthetics correlation imaging
emg contractions human fatigue
walking sensors modular kinematics
medical epidemiology analysis echography
movement

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

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 novel method for the gain conversion factor estimation in quality assessment of ultrasound diagnostic systems
G. Fiori, A. Scorza, M. Schmid, J. Galo, S. Conforto, SA. Sciuto
MEMEA 2022 - IEEE International Symposium on Medical Measurements and Application

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 @

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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