DESIGN OF A PORTABLE DIGITAL SCOLIOMETER BASED ON A MICROCONTROLLER FOR EARLY DETECTION OF SCOLIOSIS
Abstract
Scoliosis is a spinal disorder that is often not detected early, potentially causing postural disorders and more serious complications. Early detection through the measurement of Angle of Trunk Rotation (ATR) using conventional scoliometers still has limitations in terms of portability and reading subjectivity. This study aims to design and build a portable microcontroller-based digital scoliometer capable of measuring ATR values in real-time. The developed system uses an MPU6050 sensor to read body tilt angle, processed with the Kalman Filter method to improve data stability, and an ESP32 microcontroller for data processing and transmission to a web-based system via WiFi protocol. Testing was performed experimentally covering component functionality tests, ATR angle reading tests, and data transmission tests. The test results show that the device can measure ATR values stably at various tilt positions, display data in real-time on an LCD, and successfully transmit 8 out of 10 measurement data to the web server without delay. 2 transmissions experienced 4-second and 10-second delay caused by network instability. Overall, the developed digital scoliometer is proven to function as a practical, portable, and digitally-based scoliosis early detection tool.
Downloads
References
M. T. Habna, “Hubungan Antara Postur Duduk dengan Terjadinya Skoliosis pada Remaja Pelajar SMP Negeri 4 Alalak,” J. Kesehat. Hesti Wira Sakti, vol. 13, no. 1, pp. 94–99, 2025, doi: https://doi.org/10.47794/jkhws.v13i01.116.
T. B. Grivas et al., “SOSORT consensus paper : school screening for scoliosis . Where are we today ?,” Scoliosis, vol. 2, pp. 1–23, 2007, doi: 10.1186/1748-7161-2-17.
S. L. Weinstein, L. A. Dolan, J. C. Y. Cheng, A. Danielsson, and J. A. Morcuende, “Adolescent idiopathic scoliosis,” Lancet, vol. 371, no. 9623, pp. 1527–1537, 2008, doi: https://doi.org/10.1016/S0140-6736(08)60658-3.
M. W. Dewangga, P. Kinasih, K. L. Farizqi, A. V. Anggraheni, C. I. Safira, and A. Pristianto, “PROGRAM PREVENTIF DAN DETEKSI DINI SKOLIOSIS PADA ORGANISASI SISWA INTRA SEKOLAH DI SMPN 3 SURAKARTA,” Servirisma J. Pengabdi. Masy., vol. 4, no. 1, pp. 1–8, 2024, doi: https://doi.org/10.21460/servirisma.2024.41.43.
W. P. Bunnell, “Outcome of spinal screening.,” Spine (Phila. Pa. 1976)., vol. 18, no. 12, pp. 1572–1580, Sep. 1993, doi: 10.1097/00007632-199309000-00001.
T. Vendeuvre, A. Tabard-Fougère, S. Armand, and R. Dayer, “Test characteristics of rasterstereography for the early diagnosis of adolescent idiopathic scoliosis,” Bone Joint J., vol. 105-B, no. 4, pp. 431–438, 2023, doi: 10.1302/0301-620X.105B4.BJJ-2021-1440.R3.
S. Abdulmalek et al., “IoT-Based Healthcare-Monitoring System towards Improving Quality of Life: A Review,” Healthcare, vol. 10, no. 10, p. 1993, 2022, doi: 10.3390/healthcare10101993.
InvenSense, “MPU-6050 Product Specification Revision 3.4,” InvenSense Inc., 2013. [Online]. Available: https://invensense.tdk.com/wp-content/uploads/2015/02/MPU-6000-Datasheet1.pdf
B. A. Pratama, D. P. Caniago, M. A. Masril, L. Hernando, and M. Jufri, “Pengembangan Kontrol Robot Omnidirectional Menggunakan Sensor Gerakan Mpu 6050 Berbasis Internet Of Things ( IoT ),” J. Quancom, vol. 3, no. 1, pp. 38–43, 2025.
Espressif, “ESP32 Series Datasheet v4.4,” Espressif Systems, 2022. [Online]. Available: https://documentation.espressif.com/esp32_datasheet_en.pdf
R. Setiawan, H. H. Triharminto, and M. Fahrurozi, “Gesture Control Menggunakan IMU MPU 6050,” Pros. SENASTINDO AAU Yogyakarta, vol. 3, no. November, pp. 24–25, 2021, doi: 10.54706/senastindo.v3.2021.133.
R. E. Kalman, “A New Approach to Linear Filtering and Prediction Problems,” J. Basic Eng., vol. 82, no. 1, pp. 35–45, Mar. 1960, doi: 10.1115/1.3662552.
J. Mohd, N. Huda, M. Azuani, S. Zuraidah, and A. Yusop, “Analysis of Inertial Measurement Accuracy using Complementary Filter for MPU 6050 Sensor,” J. Kejuruter., vol. 34, no. 5, pp. 959–964, 2022, doi: https://doi.org/10.17576/jkukm-2022-34(5)-24.
I. Irmayani, E. Nadine, and M. F. Abdillah, “Perancangan dan Implementasi Sistem Monitoring Peminjaman Arsip Berbasis ESP32 Menggunakan Komunikasi LoRa,” SINUSOIDA, vol. 27, no. 2, pp. 1–11, 2025, doi: https://doi.org/10.37277/s.v27i2.2606.
A. P. Anggraeni, A. Wisaksono, A. H. Falah, and D. H. R. Saputra, “RANCANG BANGUN ALAT MONITORING KEMIRINGAN PADA LANTAI BERBASIS GOOGLE SHEETS,” J. Al Ulum LPPM Univ. Al Washliyah Medan, vol. 13, no. 2, pp. 188–194, 2025, doi: https://doi.org/10.47662/alulum.v13i2.1004.
M. Nailurrohman, F. Santoso, and A. Baijuri, “Rancang Bangun Sistem Smart Key Pada Sepeda Motor Menggunakan Mikrokontroler Esp32 dan Android Via Bluetooth,” G-Tech J. Teknol. Terap., vol. 8, no. 3, pp. 1759–1768, 2024.
A. Rahman, “Deteksi Jatuh pada Lansia Menggunakan Sensor MPU6050 dan ESP32,” Metodol. Penelit., vol. 1, no. 1, 2025, [Online]. Available: https://citilabs.telkomuniversity.ac.id/journals/index.php/metlit/article/view/202

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.



