Rome: October 4th, 2022

Current tag list

From Biolab3

eeg dopller health attention
prosthetics ergonomics imaging
echography walking mdf spectrum
fatigue mnf power doppler
epidemiology ultrasound muscle medical
stft emg semg driving
public limb

Modular control of kinematics in prosthetic gait: low-dimensional description based on the planar covariation law
S. Ranaldi, C. De Marchis, M. Serrao, A. Ranavolo, F. Draicchio, F. Lacquaniti, S. Conforto
8th European Medical and Biological Engineering Conference (EMBEC 2020)

Myoelectric signs of sustained muscular activity during smartphone texting
C. D'Anna, T. Varrecchia, S. Ranaldi, M. Schmid, S. Conforto
8th European Medical and Biological Engineering Conference. EMBEC 2020

Small and Large Bile Ducts Intrahepatic Cholangiocarcinoma Classification: A Preliminary Feature-Based Study
C. Losquadro, S. Conforto, M. Schmid, G. Giunta, M. Rengo, V. Cardinale, G. Carpino, A. Laghi, A. oleo, R. Muglia, E. Lanza, G. Torzilli
19th International Conference on Computer Analysis of Images and Patterns, CAIP 2021

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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