Implementation of 3D Printing Technology to Design a Posthetic Hand Based Elbow Powered for an Amputee People

Authors

DOI:

https://doi.org/10.35882/ficse.v1i1.1

Keywords:

3D printing, prosthetic hand, transradial amputee, community services

Abstract

The target for this community service program is a resident of Jl. Parikesit RT 05 RW 03 Dusun Picis, Balongdowo Village, Candi District, Sidoarjo Regency. He had a work accident in one of the industries in the city of Sidoarjo in 2010 on the left wrist up to the fingers, so the doctor suggested amputation. He is actually still in his productive age (36 years old) but because of this situation, he is unable to carry out activities in the world of work and has decreased confidence in himself and avoids socializing in society. The purpose of this community partnership program (PKM) activity is to apply 3d printing technology in the manufacture of prosthetic hands for people who have transradial amputations as an effort to improve the quality of life. The implementation methods used are: a) the measurement of several physical parameters on the amputee such as the diameter of the arm circumference, the length of the amputated part, weight and height. In addition to physical parameters, we also carry out medical measurements, including obtaining information on health conditions such as blood pressure, heart health and blood glucose levels, b) designing prosthetic hands using 3D application programs and 3D printers, c) mechanical and functional testing for perform basic movements in the form of opening and closing the palms, d) monitoring and evaluation of the use of prosthetic hands. The results obtained from this activity are that the patient can use the prosthetic hand to assist with activities in carrying out daily activities. In this PKM activity, amputees have been tested, namely the movement of holding a mineral water bottle, holding a banana, peeling a banana peel and driving a two-wheeled motorized vehicle. Monitoring shows that patients need regular exercise in using prosthetic hands so that they are able to control and condition their use. In the future, several developments can be made, including in terms of control and size of the prosthetic hand so that patients can feel the benefits of a prosthetic hand that functions like a normal hand.

References

G. R. Naik, S. Member, A. Al-timemy, and H. T. Nguyen, “Transradial Amputee Gesture Classification using an Optimal Number of sEMG Sensors : An Approach using ICA Clustering,” IEEE Trans. Neural Syst. Rehabil. Eng., vol. 4320, no. c, 2015.

T. Triwiyanto, T. Hamzah, S. Luthfiyah, I. P. A. Pawana, and B. Utomo, “A low cost and open-source anthropomorphic prosthetics hand for transradial amputee,” in International Conference on Science and Applied Science (ICSAS) 2019, 2019, vol. 020086, no. December.

P. J. Kyberd, C. Light, P. H. Chappell, J. M. Nightingale, D. Whatley, and M. Evans, “The design of anthropomorphic prosthetic hands: A study of the Southampton Hand,” Robotica, vol. 19, no. 06, pp. 593–600, 2001.

J. Tomczyński, T. Mańkowski, K. Walas, and P. Kaczmarek, “CIE-Hand towards Prosthetic Limb,” in Advances in Intelligent Systems and Computing 351, R. Szewczyk et al. (eds.), Ed. Switzerland: Springer International Publishing Switzerland 2015, 2015.

M. Ariyanto, Munadi, G. D. Haryadi, R. Ismail, J. A. Pakpahan, and K. A. Mustaqim, “A low cost anthropomorphic prosthetic hand using DC micro metal gear motor,” in 2016 3rd International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE), 2016, no. January, pp. 42–46.

M. D. M. Atique and S. E. Rabbani, “A cost-effective myoelectric prosthetic hand,” J. Prosthetics Orthot., vol. 30, no. 4, pp. 231–235, 2018.

D. Brunelli, A. M. Tadesse, B. Vodermayer, M. Nowak, and C. Castellini, “Low-cost wearable multichannel surface EMG acquisition for prosthetic hand control,” Proc. - 2015 6th IEEE Int. Work. Adv. Sensors Interfaces, IWASI 2015, pp. 94–99, 2015.

D. Pamungkas and K. Ward, “Electro-tactile feedback system for a prosthetic hand,” 22nd Annu. Int. Conf. Mechatronics Mach. Vis. Pract. M2VIP 2015, pp. 27–38, 2015.

J. Perry et al., “Google’s Android becomes the world’s leading smart phone platform,” Gait Posture, vol. 22, p. 1, 2012.

A. A. Neacsu, G. Cioroiu, A. Radoi, and C. Burileanu, “Automatic EMG-based hand gesture recognition system using time-domain descriptors and fully-connected neural networks,” 2019 42nd Int. Conf. Telecommun. Signal Process. TSP 2019, pp. 232–235, 2019.

R. Geizans, “Reinis Geizans Developing 3D Printed Prosthetic Hand Model Controlled by EMG Signal from Forearm,” no. May, 2018.

C. M. Oppus et al., “Brain-computer interface and voice-controlled 3d printed prosthetic hand,” in 2016 IEEE Region 10 Conference (TENCON), 2016, pp. 2689–2693.

Y. Su, a Wolczowski, M. H. Fisher, G. D. Bell, D. Burn, and R. Gao, “Towards an EMG Controlled Prosthetic Hand Using a 3D Electromagnetic Positioning System,” IEEE Instrum. Meas. Technol. Conf., no. May, pp. 261–266, 2005.

N. E. Krausz, R. A. L. Rorrer, and R. F. F. Weir, “Design and Fabrication of a Six Degree-of-Freedom Open Source Hand,” IEEE Trans. Neural Syst. Rehabil. Eng., vol. 24, no. 5, pp. 562–572, 2016.

Downloads

Published

2022-01-26

Issue

Section

Engineering