Rome: August 16th, 2022

Current tag list

From Biolab3

human attention movement dopller
fatigue mnf medical
stft electromyography doppler ica
semg emg correlation imaging
synergies ultrasound driving emd
computed eeg tomography echography
contractions ergonomics mdf

An objective, information-based approach for selecting the number of muscle synergies to be extracted via non-negative matrix factorization
S. Ranaldi, C. De Marchis, G. Severini, S. Conforto
IEEE Transactions on Neural Systems and Rehabilitation Engineering

Trunk muscle coactivation in people with and without low back pain during fatiguing frequency-dependent lifting activities
T. Varrecchia, S. Conforto, AM De Nunzio, F. Draicchio, D. Falla, A. Ranavolo
Sensors

A novel sensitivity index from the flow velocity variation in quality control for PW doppler: A preliminary study
G. Fiori, F. Fuiano, A. Scorza, M. Schmid, J. Galo, S. Conforto, S.A. Sciuto
2021 IEEE International Symposium on Medical Measurements and Applications, MeMeA 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 @

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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