Rome: September 30th, 2023

Current tag list

From Biolab3

sensors instrumentation walking ultrasound
cop work-related echography
disorders modular prosthetics hrc
emg limb biomedical ergonomics
robots control imu imaging
medical sts

Walking ability of individuals fitted with transfemoral bone-anchored prostheses: A comparative study of gait parameters
S. Ranaldi, A. Naaim, C. De Marchis, T. Robert, R. Dumas, S. Conforto, L. Frossard
Clinical Rehabilitation

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

A Simulation Study to Assess the Factors of Influence on Mean and Median Frequency of sEMG Signals during Muscle Fatigue.
G. Corvini, S. Conforto
Sensors

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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