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AUTOMATIC LOWER LIMB REHABILITATION DEVICE.

Authors :
M. G., VINOTH ARRUN
R., KIRUTHIKA
T. R., ABISHITHA
P. M., HARISUDHA
P., AARTHI
Source :
i-Manager's Journal on Embedded Systems; Jun2024, Vol. 12 Issue 2, p15-19, 5p
Publication Year :
2024

Abstract

Physiotherapy plays a pivotal role in the treatment of neurological and musculoskeletal disorders. With significant advancements in mechatronics, orthotic devices have garnered interest across various sectors, including medicine and industry. Orthotic devices are external wearable machines powered by electric motors and can be applied to different body parts such as upper and lower limbs, heels, or toes, serving various purposes including rehabilitation, power assistance, diagnostics, monitoring, and ergonomics. However, existing wearable devices suffer from issues related to size, cost, and weight, being bulky, expensive, and heavy. Therefore, the objective of this paper is to design a portable, lightweight, and cost-effective rehabilitation system for individuals with a paralyzed leg, leveraging the Internet of Things (IoT). The proposed wearable device, utilizing a PIC microcontroller, aims to monitor and control the lower limb and toes. Additionally, the inclusion of accelerometer and electromyography (EMG) sensors enhances the functionality of the device, allowing for precise movement monitoring and muscle activity detection. By integrating IoT capabilities, users can perform specific movements and exercises tailored to train the patient's impaired leg remotely, gradually restoring its functionality. This paper bridges the gap between traditional rehabilitation methods and modern IoT-enabled technology, offering a versatile solution for individuals with paralyzed legs. The lightweight and portable nature of the device, coupled with its affordability, makes it accessible to a wider demographic, potentially revolutionizing the fields of physiotherapy and rehabilitation. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
22787895
Volume :
12
Issue :
2
Database :
Complementary Index
Journal :
i-Manager's Journal on Embedded Systems
Publication Type :
Academic Journal
Accession number :
178825768
Full Text :
https://doi.org/10.26634/jes.12.2.20848