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.
Authors
- Anhar Anhar (ORCID: https://orcid.org/0000-0001-6825-5956)
- Siva Kumar Subramaniam (ORCID: https://orcid.org/0000-0001-6807-7977)
- Febrizal Ujang (ORCID: https://orcid.org/0000-0003-1433-8769)
- Indra Yasri
- Ery Safrianti (ORCID: https://orcid.org/0000-0003-3113-5648)
- Salpiana Salpiana
Institutions
- Technical University of Malaysia Malacca (MY)
- Riau University (ID)
Publication Details
- Published
- 2024-10-16
- DOI
- https://doi.org/10.1109/iconeei64414.2024.10747938
- Primary Topic
- E-commerce and Technology Innovations
- Type
- article
- Field-Weighted Citation Impact
- 0.00