Exhibitors 2020


WAIH-C (Wearables and Artificial Intelligence for Healthcare and Covid-19)

WAIH-C (Wearables and Artificial Intelligence for Healthcare and Covid-19)

WAIH-C (Wearables and Artificial Intelligence for Healthcare and Covid-19)


A sensory glove, a sensory suit, a sensory cap, sensory socks for the reproduction of human kinematics through avatars and for the study of motor control.
Sensory socks for posture assessment in rehabilitation.
An electroencephalographic band for monitoring the state of attention in drivers of vehicles at risk.
An electromyographic bracelet for the recognition of hand gestures.
Wearable sensors for monitoring patients at risk of Covid-19


Italy


Technoscience San Raffaele

Antonio Pallotti, biomedical engineer, PhD in electronics, PhD student in management at the University of Rome Tor Vergata, university master in teaching, researcher in industrial and information engineering at Technoscience. Expertise in wearable sensors, machine learning, personalized medicine, health technology assessment.


Leandro Lucangeli, biomedical engineer, PhD student in human movement and sport sciences at the “Foro Italico” University of Rome, researcher at Technoscience. Expertise in human kinematics measurements, hardware / firmware / software design.


Emanuele D’Angelantonio, electronic engineer, graduate student in biomedical engineering at the "Roma Tre" University. Expertise in statistical analysis and machine learning.


Fulvio Cordella, clinical engineer, graduate student in biomedical engineering at the University of Rome "La Sapienza". Expertise in statistical analysis and machine learning.


Andrea Cardarelli, bachelor student in medical engineering at the University of Rome Tor Vergata. Expertise: hardware and software design.


Davide Sebastiani, bachelor student in medical engineering at the University of Rome Tor Vergata. Expertise: hardware and software design.



 Health
  Technoscience San Raffaele
 2020

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Data updated on 2021-11-09 - 11.51.35 am