Automatic Detection of Myotonia using a Sensory Glove with Resistive Flex Sensors and Machine Learning Techniques-Reference-Cited by-同舟云学术

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Automatic Detection of Myotonia using a Sensory Glove with Resistive Flex Sensors and Machine Learning Techniques

Published:2023-06-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT)
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Author:

Cesarini Valerio¹,Costantini Giovanni¹,Amato Federica²,Errico Vito¹,Pietrosanti Luca¹,Calado Alexandre Luis¹,Massa Roberto³,Frezza Erica³,Irrera Fernanda⁴,Manoni Alessandro⁴,Saggio Giovanni¹

Affiliation:

1. University of Rome Tor Vergata,Department of Electronic Engineering,Rome,Italy

2. Polytechnic University of Turin,Department of Control and Computer Engineering,Turin,Italy

3. University of Rome Tor Vergata,Department of Systems Medicine,Rome,Italy

4. University of Rome La Sapienza,Department of Information Engineering, Electronics and Telecommunications,Rome,Italy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10180122/10180015/10180176.pdf?arnumber=10180176

Reference24 articles.

1. Reliability and Validity of Clinically Accessible Smart Glove Technologies to Measure Joint Range of Motion

2. A novel array of flex sensors for a goniometric glove

3. Dynamic Measurement Assessments of Sensory Gloves Based on Resistive Flex Sensors and Inertial Measurement Units

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