Rome: January 21st, 2021

Current tag list

From Biolab3

sensors risk kinematics ecg
pd gait processing medical
cognitive vehicles neck coactivation
dop posture imaging
text emg evaluation force
load devices smart ann
echographs prosthetics signal ergonomics
testing imu device

Global lower limb muscle coactivation during walking in trans-femoral and trans-tibial amputees
A. Tatarelli, M. Serrao, T. Varrecchia, L. Fiori, A. Silvetti, C. De Marchis, S. Ranaldi, F. Draicchio, S. Conforto, A. Ranavolo
IEEE International Symposium on Medical Measurements and Applications (MeMeA 2020)

Changes in leg cycling muscle synergies after training augmented by functional electrical stimulation in subacute stroke survivors: a pilot study
E. Ambrosini, M. Parati, E. Peri, C. De Marchis, C. Nava, A. Pedrocchi, G. Ferriero, S. Ferrante
Journal of Neuroengineering and Rehabilitation

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)

BioLab3

Biomedical Engineering Laboratory

Phone Number +39 06 5733 7057
Fax +39 06 5733 7026
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 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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