Rome: November 13th, 2019

Current tag list

From Biolab3

calibration force synergies sensors
medical index estimation
coactivation control gait dmd
plates muscle amputees engagement
eeg signals reality asymmetry
emg virtual thickness cortical
social wavelet mri algorithms
posture myoelectric accelerometer motor
biomechanics cognitive imaging analysis

Muscle synergies of the contralateral lower limb in trans-femoral amputees gait
C. De Marchis, S. Ranaldi, S. Conforto
XXII Congress of the International Society of Electrophysiology and Kinesiology (ISEK 2018)

Muscle activity detection in pathological, weak and noisy myoelectric signals
T. Varrecchia, C. D'Anna, A. Scorza, S.A. Sciuto, S. Conforto
IEEE International Symposium on Medical Measurements and Applications (MeMeA)

Modular motor control of the sound limb in gait of people with trans-femoral amputation
C. De Marchis, S. Ranaldi, M. Serrao, A. Ranavolo, F. Draicchio, F. Lacquaniti, S. Conforto
Journal of Neuroengineering and Rehabilitation

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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