The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
The “Arm” Line of Devices for Neurological Rehabilitation
|
|
Author(s): Alessandro Scano (Institute of Industrial Technologies and Automation, Italy), Andrea Chiavenna (Institute of Industrial Technologies and Automation, Italy), Tito Dinon (Institute of Industrial Technologies and Automation, Italy), Alessio Prini (Institute of Industrial Technologies and Automation, Italy), Giulio Spagnuolo (Institute of Industrial Technologies and Automation, Italy), Matteo Malosio (Institute of Industrial Technologies and Automation, Italy)and Lorenzo Molinari Tosatti (Institute of Industrial Technologies and Automation, Italy)
Copyright: 2020
Pages: 30
Source title:
Additive Manufacturing: Breakthroughs in Research and Practice
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-9624-0.ch017
Purchase
|
Abstract
In the modern scenario of neurological rehabilitation, which requires affordable solutions oriented toward promoting home training, the Institute of Industrial Technologies and Automation (ITIA) of the Italian National Research Council (CNR) developed a line of prototypal devices for the rehabilitation of the upper limb, called “Arm.” Arm devices were conceived to promote rehabilitation at affordable prices by capturing all the main features of the state-of-the-art devices. In fact, Arm devices focus on the main features requested by a robot therapist: mechanical adaptation to the patient, ranging from passive motion to high transparency, assist-as-needed and resistive modalities; proper use of sensors for performance monitoring; easy-to-use, modular, and adaptable design. These desirable features are combined with low-cost, additive manufacturing procedures, with the purpose of meeting the requirements coming from research on neuro-motor rehabilitation and motor control and coupling them with the recent breakthrough innovations in design and manufacturing.
Related Content
|
Erfan Nouri, Alireza Kardan, Vahid Mottaghitalab.
© 2024.
33 pages.
|
|
Mudassar Shahzad, Noor-ul-Huda Altaf, Muhammad Ayyaz, Sehrish Maqsood, Tayyba Shoukat, Mumtaz Ali, Muhammad Yasin Naz, Shazia Shukrullah.
© 2024.
31 pages.
|
|
Erfan Nouri, Alireza Kardan, Vahid Mottaghitalab.
© 2024.
32 pages.
|
|
Davronjon Abduvokhidov, Zhitong Chen, Jamoliddin Razzokov.
© 2024.
16 pages.
|
|
Shahid Ali.
© 2024.
25 pages.
|
|
Aamir Shahzad, Rabia Waris, Muhammad Kashif, Alina Manzoor, Maogang He.
© 2024.
13 pages.
|
|
Soraya Trabelsi, Ezeddine Sediki.
© 2024.
23 pages.
|
|
|