Implementasi Myoware Sensor Otot untuk Alat Bantu Terapi Penderita Drop hand dan Pasca Stroke

Tuti Anggraini; Rahmatul yoga Setiawan; Anton Anton

doi:10.30630/eji.14.1.260

Tuti Anggraini Politeknik Negeri Padang
Rahmatul yoga Setiawan Politeknik Negeri Padang
Anton Anton Politeknik Negeri Padang

DOI: https://doi.org/10.30630/eji.14.1.260

Keywords: Drophand, Myoware Muscle Sensor, MAX30100 Sensor.

Abstract

The manufacture of therapeutic aids for patients with drop hand and post-stroke controlled by a microcontroller has been carried out. The objectives of this study are (a) applying muscle sensor myoware to make therapeutic aids for patients with hand drop and post-stroke controlled by a microcontroller and (b) measuring the performance of the device. The research method starts from making tools, and measuring tool performance. The results of measuring the performance of the tool are shown by the myoware muscle sensor readings, when the muscle contracts the voltage is 4.8V and the ADC is 984. The sensor accuracy level is MAX30100 for 99% oxygen readings based on the sensor measurement results compared to a medical pulse oximeter. The measurement results are displayed on the OLED LCD. Overall the tool can function well. Suggestions for further research, can be added data communication based on Internet of Things and machine learning for training motion methods.

Downloads

Download data is not yet available.

References

1 DeCastro A, Keefe P. Wrist Drop. [Updated 2021 Jul 21]. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2021 Jan-. Available from: https://www.ncbi.nlm.nih.gov/books/NBK532993/
2. S. Högg, M. Holzgraefe, I. Wingendorf, J. Mehrholz, C. Herrmann, and M. Obermann, “Upper limb strength training in subacute stroke patients: Study protocol of a randomised controlled trial,” Trials, vol. 20, no. 1, pp. 1–11, 2019, doi: 10.1186/s13063-019-3261-3.
3. A. A. Amin, S. Amanati, D. Purnomo, and A. P. Putra, “Pengaruh Infra Red, Electrical Stimulation Dan Terapi Latihan Pada Drop Hand Et Causa Post Operasi Fraktur Humerus,” J. Fisioter. dan Rehabil., vol. 2, no. 1, pp. 69–76, 2018, doi: 10.33660/jfrwhs.v2i1.49.
4 Goel, K., Singh, S. K., Agarwal, H., Mukherji, J. D., & Kumar, M. (2018). Isolated Wrist Drop Presenting as Acute Stroke: Rare Case Report with Review of Literature. Journal of neurosciences in rural practice, 9(4), 647–649. https://doi.org/10.4103/jnrp.jnrp_115_18
5 D. A. Widyastuti, “Terapi Gen: Dari Bioteknologi Untuk Kesehatan,” Al-Kauniyah J. Biol., vol. 10, no. 1, pp. 49–62, 2017, doi: 10.15408/kauniyah.v10i1.4864.
6 B. He, K. Shu, and H. Zhang, “Diabetes diagnosis and treatment research based on machine learning,” Proc. - 2019 IEEE SmartWorld, Ubiquitous Intell. Comput. Adv. Trust. Comput. Scalable Comput. Commun. Internet People Smart City Innov. SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019, pp. 675–679, 2019, doi: 10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00151..
7. Muhammad Irmansyah, Era Madona, Anggara Nasution. Design And Application Of Portable Heart Rate And Weight Measuring Tool For Premature Baby With Microcontroller Base. International Journal of GEOMATE, Sept., 2019 Vol.17, Issue 61, pp. 195 -201
8. Yulastri, E. Madona, M. Irmansyah, and A. Nasution, “Alat Deteksi Jatuh Berbiaya Murah Dengan Tracking Position Untuk Pasien Vertigo dan Sinkop,” J. RESTI (Rekayasa Sist. dan Teknol. Informasi), vol. 4, no. 6, pp. 9–11, 2020, doi: 10.29207/resti.v4i6.2608.
9. U. Wasilah, S. Rohimah, and M. Su’udi, “Perkembangan Bioteknologi di Indonesia,” Rekayasa, vol. 12, no. 2, pp. 85–90, 2019, doi: 10.21107/rekayasa.v12i2.5469.
10 X. Chen et al., “A Wearable Hand Rehabilitation System with Soft Gloves,” IEEE Trans. Ind. Informatics, vol. 17, no. 2, pp. 943–952, 2021, doi: 10.1109/TII.2020.3010369.
11. P. Madona, “Alat Bantu Terapi Pasca Stroke untuk Tangan,” J. Elektro dan Mesin Terap., vol. 4, no. 1, pp. 27–36, 2018, doi: 10.35143/elementer.v4i1.1422.
12 I. P. D. Lesmana, B. Widiawan, D. R. Hartadi, and M. F. Al Haris, “Pengembangan Terapi Cermin Pada Latihan Bersepeda Berbasis Virtual Reality Untuk Meningkatkan Gerak Motorik Ekstremitas Atas Pasca Stroke,” J. Teknol. Inf. dan Ilmu Komput., vol. 5, no. 4, p. 503, 2018, doi: 10.25126/jtiik.201854914.