Rome: April 11th, 2021

Current tag list

From Biolab3

inertial prostheses wbv public
walking force device
cognitive frontiers platform eeg
posture emotions cfr task
health analysis dmd load
sensors movement epidemiology testing
ecg in and covid-
medical emg biotechnology coactivation
vr dual bioengineering

Pelvic obliquity as a compensatory mechanism leading to lower energy recovery: characterization among the types of prostheses in subjects with transfemoral amputation
S.F. Castiglia, A. Ranavolo, T. Varrecchia, C. De Marchis, A. Tatarelli, F. Magnifica, L. Fiori, C. Conte, F. Draicchio, S. Conforto, M. Serrao
Gait and Posture

Short-term effects of mitigation measures for the containment of the COVID-19 outbreak: An experience from Northern Italy
G. Moirano, M. Schmid, F. Barone-Adesi
Disaster Medicine and Public Health Preparedness

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)


Biomedical Engineering Laboratory

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