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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM47596

Smart System for Non-Invasive Muscle Monitoring in Polymyositis Patients

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM47596

Volume:

9 |

5 |

May 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM47596

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

AKN

A K NIVEDHA*1

N

N.SRIPOORNIMA*2

AE

ALBIN EBBY*3

AKB

ARJUN K B*4

AKS

ASWIN K SHAJI*

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Abstract

This project introduces a wearable system specifically developed to monitor muscle health in individuals with polymyositis using a non-invasive approach. The device integrates a set of biosensors—Electromyography (EMG) to track muscle activity, a pulse oximeter (SpO₂) to measure blood oxygen levels, a Galvanic Skin Response (GSR) sensor for stress detection, and an accelerometer to monitor physical movement. All components are managed by an ESP32 microcontroller, which collects and processes the data in real-time. Physiological readings are wirelessly transmitted to a secure cloud-based platform, while essential health information is also shown on a built-in LCD screen, giving users instant feedback. This design moves away from traditional bulky or invasive systems, offering a portable, user-friendly, and cost-effective alternative. The system is well-suited for use in clinical settings, sports training, and at home. Its capabilities include early detection of muscle fatigue, rehabilitation monitoring, and proactive muscle care. Due to its scalable and affordable design, it can be particularly beneficial in under-resourced environments.Future development will focus on integrating artificial intelligence for predictive analytics and personalized insights, further advancing the quality of care and self-monitoring.

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Cite This Article

A K NIVEDHA*1, N.SRIPOORNIMA*2, ALBIN EBBY*3, ARJUN K B*4, ASWIN K SHAJI*, "Smart System for Non-Invasive Muscle Monitoring in Polymyositis Patients," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 5, May 2025. https://doi.org/10.55041/IJSREM47596

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Publication Date

11/4/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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5

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The authors declare no conflict of interest related to this research work.

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