Smart Posture System Design for Scoliosis Patients Based on the Internet of Things (IoT)

Scoliosis, a spine deformity characterized by an abnormal curvature, often in the shape of the letter C or S, is a condition with an unknown cause in most cases (75-85% are idiopathic scoliosis). In this context, our research is a comprehensive exploration, aiming to design an intelligent body posture system for people with scoliosis using Internet of Things (IoT) technology. The system employs a flex sensor to measure the angle of spinal curvature and ESP 32 as a processor and controller server. The research yields hardware and software angles and conditions. There are three scenarios to test the performance of the system; testing on normal patients without complaint, with complaint, and scoliosis patients. Voltage measurements show error values ranging from 0,87%-17,7%, and the tool functions effectively. The device testing is conducted on both regular patients and scoliosis sufferers for monitoring and early detection.

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Publication Details

Published
2024-10-16
DOI
https://doi.org/10.1109/iconeei64414.2024.10747938
Primary Topic
E-commerce and Technology Innovations
Type
article
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Smart Posture System Design for Scoliosis Patients Based on the Internet of Things (IoT)

Anhar Anhar, Siva Kumar Subramaniam, Febrizal Ujang, Indra Yasri et al.
E-commerce and Technology Innovations
article

Smart Posture System Design for Scoliosis Patients Based on the Internet of Things (IoT)

Anhar Anhar, Siva Kumar Subramaniam, Febrizal Ujang, Indra Yasri, Ery Safrianti, Salpiana Salpiana
article en

Abstract

Scoliosis, a spine deformity characterized by an abnormal curvature, often in the shape of the letter C or S, is a condition with an unknown cause in most cases (75-85% are idiopathic scoliosis). In this context, our research is a comprehensive exploration, aiming to design an intelligent body posture system for people with scoliosis using Internet of Things (IoT) technology. The system employs a flex sensor to measure the angle of spinal curvature and ESP 32 as a processor and controller server. The research yields hardware and software angles and conditions. There are three scenarios to test the performance of the system; testing on normal patients without complaint, with complaint, and scoliosis patients. Voltage measurements show error values ranging from 0,87%-17,7%, and the tool functions effectively. The device testing is conducted on both regular patients and scoliosis sufferers for monitoring and early detection.

Technical University of Malaysia Malacca (MY), Riau University (ID)
Openalex Percentile: Top 63%
E-commerce and Technology Innovations
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