Electronic systems integration of a locomotion rehabilitation platform with ANFIS simulation
Pages 47 - 50
Abstract
Locomotive medical devices that are used for performing non-invasive treatments on patients can achieve positive or negative effects on disease recovery; therefore controlling the monitoring of this equipment becomes the basic objective to achieve a successful physical recovery. This paper first shows how the hardware and software design of a Platform for Human Locomotion Rehabilitation allows for the construction of a compact and reliable machine to rehabilitate people with knee osteoarthritis, and it describes how the "embedded programming" is applied on the platform monitoring system itself. It then expounds on the development of combined Neural Networks and Fuzzy Systems to monitor and control the Rehabilitation Locomotive Platform. We conclude relating variables such as weight-bearing on a patient, the treadmill speed system and the ECG patient's heart rate which must be integrated in the programming process performed by ANFIS and the embedded software using digital processors DSPs.
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Index Terms
- Electronic systems integration of a locomotion rehabilitation platform with ANFIS simulation
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Published In
October 2013
529 pages
ISBN:9781450323482
DOI:10.1145/2513228
- Conference Chairs:
- Ching Y. Suen,
- Amir Aghdam,
- Minyi Guo,
- Program Chairs:
- Jiman Hong,
- Esmaeil Nadimi
Copyright © 2013 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
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- ACCT: Association of Convergent Computing Technology
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Association for Computing Machinery
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Published: 01 October 2013
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RACS '13 Paper Acceptance Rate 73 of 317 submissions, 23%;
Overall Acceptance Rate 393 of 1,581 submissions, 25%
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