PUTRA, ALDO DWI (2026) Preliminary Study Of sEMG-ESP32-Based Oysync Prototype: Modeling Of Muscle Response Coefficients To Load In Healthy Subjects As A Basis For The Development Of Spasticity Quantification. Undergraduate thesis, UPN Veteran Jawa Timur.
![[img]](https://repository.upnjatim.ac.id/style/images/fileicons/text.png) |
Text (Cover)
22036010053.-cover.pdf Download (912kB) |
|
Text (Bab 1)
22036010053.-bab1.pdf.pdf Download (292kB) |
|
Text (Bab 2)
22036010053.-bab2.pdf.pdf Restricted to Repository staff only until 14 July 2029. Download (971kB) | Request a copy |
|
Text (Bab 3)
22036010053.-bab3.pdf.pdf Restricted to Repository staff only until 14 July 2029. Download (660kB) | Request a copy |
|
Text (Bab 4)
22036010053.-bab4.pdf.pdf Restricted to Repository staff only until 14 July 2029. Download (910kB) | Request a copy |
|
Text (Bab 5)
22036010053.-bab5.pdf.pdf Download (282kB) |
|
Text (Daftar Pustaka)
22036010053.-daftarpustaka.pdf.pdf Download (206kB) |
|
Text (Lampiran)
22036010053.-lampiran.pdf.pdf Restricted to Repository staff only until 14 July 2029. Download (389kB) | Request a copy |
Abstract
Assessing muscle activity during elbow flexion requires an objective, portable, and cost-effective signal acquisition system. This study presents a preliminary development of the OYSYNC wearable prototype, which integrates an OYmotion surface electromyography (sEMG) sensor, an ESP32-S3 Zero microcontroller, MicroSD storage, and a Blynk-based Internet of Things (IoT) interface for real-time muscle signal recording, processing, and visualization. Empirical evaluation was conducted on 13 healthy subjects (aged 20–22 years) performing active elbow flexion-extension tasks under varying loads of 0, 2, 4, and 6 kg. sEMG signals from the Biceps brachii and Brachioradialis were processed into Root Mean Square (RMS) parameters and subsequently analyzed against load variations and subcutaneous fat thickness. The results demonstrate that the prototype consistently captures muscle activation patterns, despite an empirical RMS sampling frequency of 34 Hz per muscle. Furthermore, the skinfold thickness of the biceps area exhibits a negative exponential correlation with both the corrected RMS amplitude and the sEMG load-response coefficient. This relationship was quantified through the proposed Constant Spasticity Load (CSL) model with the equation CSL=25,691e-0,093(fat thickness (mm)) yielding a p-value of 0.001 the Pearson correlation coefficient was r = 0.88 (R2 of 0,7864). These findings suggest that OYSYNC serves as a viable preliminary platform for muscle activity analysis and sEMG-based quantitative modeling. However, further validation in clinical populations remains imperative before the system can be deployed for clinical spasticity interpretation.
| Item Type: | Thesis (Undergraduate) | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Contributors: |
|
||||||||
| Subjects: | T Technology > TJ Mechanical engineering and machinery T Technology > TK Electrical engineering. Electronics Nuclear engineering |
||||||||
| Divisions: | Faculty of Engineering > Departement of Mechanical Engineering | ||||||||
| Depositing User: | Aldo Pasaribu | ||||||||
| Date Deposited: | 15 Jul 2026 04:22 | ||||||||
| Last Modified: | 15 Jul 2026 06:37 | ||||||||
| URI: | https://repository.upnjatim.ac.id/id/eprint/55453 |
Actions (login required)
 |
View Item |