Hand Training Bagi Penderita Stroke Menggunakan 3D Printing
Keywords:
stroke, rehabilitasi tangan, 3D printing, aktuator lunak, hand training, TPUAbstract
Stroke is one of the leading causes of disability in Indonesia, often affecting motor functions, particularly in the
hands. Rehabilitation plays a crucial role in restoring these functions. This study aims to design and develop a hand training device for stroke patients using 3D printing technology and a soft pneumatic actuator system. The process began with CAD-based design, followed by fabrication using Fused Deposition Modeling (FDM) 3D printing with TPU material, and final assembly of all components. Testing results showed that the device could effectively perform finger flexion movements at air pressures ranging from 0.49 MPa, and was capable of gripping objects such as a spiked ball. This device offers an affordable, customizable, and flexible rehabilitation solution to assist stroke patients in regaining hand motor function.
References
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G. A. (2019). Global burden of stroke. Circulation Research, 120(3), 439–448. https://doi.org/10.1161/CIRCRESAHA.118.310421
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(2019). Stroke: Key facts. Retrieved from https://www.who.int/news-room/fact-sheets/detail/stroke
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(2021). Kontrol eksoskeleton tangan dengan sensor taktil untuk rehabilitasi pasien pasca stroke. Jurnal Teknik ITS, 10(1), 2337-3539.
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Rahman, M. (2022). Hand rehabilitation devices: A comprehensive systematic review. Micromachines, 13(5), 789. https://doi.org/10.3390/mi13050789
[10]. Jianwei, L., Aiguo, S., & Senior, M.
(2023). A novel soft glove utilizing honeycomb pneumatic actuators for assisting activities of daily living. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 31(5), 432–441.
[11]. Patel, S., Park, H., Bonato, P., Chan, L.,
& Rodgers, M. (2012). A review of wearable sensors and systems with application in rehabilitation. Journal of NeuroEngineering and Rehabilitation, 9(21), 1–17. https://doi.org/10.1186/1743-0003-9-21
[12]. Veerbeek, J. M., Langbroek
-Amersfoort, A. C., van Wegen, E. E. H., Meskers, C. G. M., & Kwakkel, G. (2017). Effects of robot-assisted therapy for the upper limb after stroke. Neurorehabilitation
and Neural Repair, 31(2), 107–121. https://doi.org/10.1177/1545968316666957
[13]. Polygerinos, P., Correll, N., Morin, S.
A., Mosadegh, B., Onal, C. D., Petersen, K., ... & Walsh, C. J. (2017). Soft robotics: Review of fluid-driven intrinsically soft devices; manufacturing, sensing, control, and applications in human-robot interaction. Advanced Engineering Materials, 19(12), 1700016. https://doi.org/10.1002/adem.201700016
[14]. Cameirão, M. S., Bermúdez i Badia, S.,
Duarte, E., & Verschure, P. F. M. J. (2011). Virtual reality based rehabilitation speeds up functional recovery of the upper extremities after stroke: A randomized controlled pilot study in the acute phase of stroke using the Rehabilitation Gaming System. Restorative Neurology and Neuroscience, 29(5), 287–298. https://doi.org/10.3233/RNN-2011-0599
[15]. Kim, J., Park, H., & Kang, B. B.
(2020). Soft wearable robotic hand with integrated sensing of grasping forces for rehabilitation. IEEE Robotics and Automation Letters, 5(3), 3625–3632. https://doi.org/10.1109/LRA.2020.2976421
Laporan Nasional Riskesdas 2018. Badan Penelitian dan Pengembangan Kesehatan, Kemenkes RI.
[2]. Feigin, V. L., Norrving, B., & Mensah,
G. A. (2019). Global burden of stroke. Circulation Research, 120(3), 439–448. https://doi.org/10.1161/CIRCRESAHA.118.310421
[3]. World Health Organization (WHO).
(2019). Stroke: Key facts. Retrieved from https://www.who.int/news-room/fact-sheets/detail/stroke
[4]. Arnanda, R. (2022). Asuhan
keperawatan pada pasien stroke iskemik masa rehabilitasi. Jurnal Keperawatan Neuro, 3(2), 112–118.
[5]. Yumna, H., Arifin, A., & Babgei, A.
(2021). Kontrol eksoskeleton tangan dengan sensor taktil untuk rehabilitasi pasien pasca stroke. Jurnal Teknik ITS, 10(1), 2337-3539.
Penulis1, Penulis2
Jurnal Teknik Mesin (JTM) Vol . x No. 1 (20xx) xx – xx
[6]. Liang, C., Yang, T., Liu, R., Yu, J., Hu,
M., & Wang, L. (2022). Efficiency of rehabilitation robotic gloves combined with mirror therapy on functional recovery of hemiplegic upper limbs. Journal of Anesthesia & Pain Medicine, 7(3), 91–98.
[7]. Yang, S., Koh, C., Hsu, C., Chen, P.,
Chen, J., & Lan, Y. (2021). An instrumented glove-controlled portable hand-exoskeleton for bilateral hand rehabilitation. Biosensors, 11(12), 495. https://doi.org/10.3390/bios11120495
[8]. Sadana, K. (2018). Pemanfaatan
teknologi 3D printing dalam proses desain produk gaya hidup. Seminar Nasional Sistem Informasi dan Teknologi Informasi, 2018, 123–129.
[9]. Kabir, R., Sunny, M., Ahmed, H., &
Rahman, M. (2022). Hand rehabilitation devices: A comprehensive systematic review. Micromachines, 13(5), 789. https://doi.org/10.3390/mi13050789
[10]. Jianwei, L., Aiguo, S., & Senior, M.
(2023). A novel soft glove utilizing honeycomb pneumatic actuators for assisting activities of daily living. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 31(5), 432–441.
[11]. Patel, S., Park, H., Bonato, P., Chan, L.,
& Rodgers, M. (2012). A review of wearable sensors and systems with application in rehabilitation. Journal of NeuroEngineering and Rehabilitation, 9(21), 1–17. https://doi.org/10.1186/1743-0003-9-21
[12]. Veerbeek, J. M., Langbroek
-Amersfoort, A. C., van Wegen, E. E. H., Meskers, C. G. M., & Kwakkel, G. (2017). Effects of robot-assisted therapy for the upper limb after stroke. Neurorehabilitation
and Neural Repair, 31(2), 107–121. https://doi.org/10.1177/1545968316666957
[13]. Polygerinos, P., Correll, N., Morin, S.
A., Mosadegh, B., Onal, C. D., Petersen, K., ... & Walsh, C. J. (2017). Soft robotics: Review of fluid-driven intrinsically soft devices; manufacturing, sensing, control, and applications in human-robot interaction. Advanced Engineering Materials, 19(12), 1700016. https://doi.org/10.1002/adem.201700016
[14]. Cameirão, M. S., Bermúdez i Badia, S.,
Duarte, E., & Verschure, P. F. M. J. (2011). Virtual reality based rehabilitation speeds up functional recovery of the upper extremities after stroke: A randomized controlled pilot study in the acute phase of stroke using the Rehabilitation Gaming System. Restorative Neurology and Neuroscience, 29(5), 287–298. https://doi.org/10.3233/RNN-2011-0599
[15]. Kim, J., Park, H., & Kang, B. B.
(2020). Soft wearable robotic hand with integrated sensing of grasping forces for rehabilitation. IEEE Robotics and Automation Letters, 5(3), 3625–3632. https://doi.org/10.1109/LRA.2020.2976421
Published
2026-08-18
How to Cite
Hasdiansah, Yogi ilyasyah, & Zaldy S. Suzen. (2026). Hand Training Bagi Penderita Stroke Menggunakan 3D Printing. Jurnal Teknik Mesin, 19(1). Retrieved from http://ejournal2.pnp.ac.id/index.php/jtm/article/view/1983
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