Anhar, Anhar and Salpiana, Salpiana and Subramaniam, Siva Kumar and Yasri, Indra and Ujang, Febrizal and Safrianti, Ery (2024) Smart posture system design for scoliosis patients based on the Internet of Things (IoT). In: 2024 4th International Conference on Electrical Engineering and Informatics (ICon EEI), 16-17 Oct 2024, Pekanbaru, Indonesia.
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Smart Posture System Design for Scoliosis Patients Based on the Internet of Things (IoT).pdf Download (578kB) |
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.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Divisions: | Faculty Of Electronics And Computer Technology And Engineering |
| Depositing User: | NURHASHIRAH BORHAN |
| Date Deposited: | 31 Jul 2026 07:22 |
| Last Modified: | 31 Jul 2026 07:22 |
| URI: | http://eprints.utem.edu.my/id/eprint/30110 |
| Statistic Details: | View Download Statistic |
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