Rome: May 20th, 2022

Current tag list

From Biolab3

movement echography stft ultrasound
ergonomics emd human fatigue
tomography computed synergies ica
medical muscular emg
imaging doppler posture modules
motor dopller smartphone

Estimation of mean and median frequency from synthetic sEMG signals: Effects of different spectral shapes and noise on estimation methods
G. Corvini, C. D'Anna, S. Conforto
Biomedical Signal Processing and Control

Non-Invasive Methods for PWV Measurement in Blood Vessel Stiffness Assessment
G. Fiori, F. Fuiano, A. Scorza, S. Conforto, S.A. Sciuto
IEEE Reviews in Biomedical Engineering

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


Biomedical Engineering Laboratory

Phone Number +39 06 5733 7057
Founder Tommaso D'Alessio
Research group head Silvia Conforto
Lab coordinator Maurizio Schmid
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BioLabĀ³, the Biomedical Engineering Laboratory at the Department of 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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