Rome: June 6th, 2023

Current tag list

From Biolab3

correlation cop mnf
echography modular mdf contractions
medical electromyography instrumentation fatigue
sensors control semg ultrasound
imaging emg biomedical

Automated conduction velocity estimation based on isochronal activation of heart chambers
M. Santurri, J. Bonga, M. Schmid, F.M. Cauti, F. Solimene, M. Polselli, M. Bura, F. Piccolo, M. Malacrida, G. Pelargonio, F.R. Spera, S. Bianchi, P. Rossi
Journal of Interventional Cardiac Electrophysiology

A data-based system for the optimization of emergency medical services allocation in rural countries
G. Guarino, I. Bernabucci, D. Bibbo, M. Caviglia, AJ. Ambai, G. Putoto, L. Ragazzoni, F. Tognon, MJ. Vandy, F. Barone-Adesi, M. Schmid
ISCC2022 - IEEE Symposium on Computers and Communications - Workshop ICTS4eHealth

A comparative study on Depth of Penetration measurements in diagnostic ultrasounds through the Adaptive SNR threshold method
G. Fiori, F. Fuiano, M. Schmid, S. Conforto, S.A. Sciuto, A. Scorza
IEEE Transactions on Instrumentation and Measurement


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 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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