Scan-Driven Fully-Automated Pipeline for a Personalized, 3D Printed Low-Cost Prosthetic Hand

Herbst, Yair; Polinsky, Shunit; Fischer, Anath; Medan, Y.; Schneor, Ronit; Kahn, Joshua; Wolf, Alon

doi:10.1109/case49439.2021.9551456

Cited by 4 publications

(2 citation statements)

References 18 publications

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“…The individual has made several attempts to have a prosthetic hand made, even if only for cosmetic purposes and not for functional movement. However, the challenge faced by the individual is the relatively high cost of making a prosthetic hand for the middle to lower class community, with prices ranging from 15 million to 20 million (for cosmetic prosthetic hands) [7] [8] [9]. Based on their purpose, there are two types of prosthetic hands developed in the world: for cosmetic purposes and for functional purposes [10][11] [12].…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of a Low-Cost and Functional Prosthetic Hand Using 3D Printing Technology for a Member of the Association of Physical Disabilities Indonesia

Triwiyanto,

Luthfiyah,

Forra Wakidi

et al. 2023

Frontiers in Community Service and Empowerment

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Many people with physical disabilities, especially transradial amputees, face difficulties in performing daily activities and have low self-esteem due to the lack of affordable and functional prosthetic hands. The aim of this community service program is to apply 3D printing technology in making prosthetic hands for the members of the Indonesian Physical Disability Association (PPDFI) branch in Surabaya. The method consists of four steps: (1) measuring the physical parameters of the amputees, such as the circumference and length of the residual limb, (2) designing and printing the prosthetic hand using 3D software and printer, (3) testing the mechanical and functional performance of the prosthetic hand, such as the ability to open and close, and (4) providing counseling and mentoring to the amputees to restore their confidence and evaluate their usage. Result: The result of this program is the availability of a low-cost and open-source prosthetic hand for the transradial amputees, which can help them to perform basic activities such as driving, holding a phone, and grabbing a bottle. The prosthetic hand can also be customized according to the needs and preferences of the amputees, such as the color or design. Conclusion: The conclusion of this program is that 3D printing technology can be used to create a functional and affordable prosthetic hand for the transradial amputees, which can improve their quality of life and self-esteem. The program also provides education and guidance to the amputees and the community about the benefits and risks of using prosthetic hands.

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Section: Introductionmentioning

confidence: 99%

Design and Implementation of a Low-Cost and Functional Prosthetic Hand Using 3D Printing Technology for a Member of the Association of Physical Disabilities Indonesia

Triwiyanto,

Luthfiyah,

Forra Wakidi

et al. 2023

Frontiers in Community Service and Empowerment

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“…In this line of research, it is possible to cite works in which the researchers developed some type of prototype of upper limb prosthesis commanded from biopotential signals (du Plessis et al, 2021; Herbst et al, 2021; Lins et al, 2019; Nadjib et al, 2021; Sree et al, 2021). In these, the researchers used some Machine Learning algorithm to classify the signals.…”

Section: Introductionmentioning

confidence: 99%

Development of intelligent and integrated technology for pattern recognition in EMG signals for robotic prosthesis command

Barbosa

Neto

et al. 2022

Expert Systems

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Prostheses play an important role in the rehabilitation of people who have suffered some type of amputation. However, due to its high‐cost and high complexity in performing movements of everyday tasks, users of these prostheses may encounter many difficulties. Therefore, this work proposes the development of a future artificial intelligence technology based on a low‐cost functional prosthesis prototype (manufactured in a 3D printer). In the present work, we describe an intelligent system that uses an artificial neural network to recognize patterns in muscle biopotential signals in order to control a prosthesis prototype in real time. Such a system is divided into three parts: the first that performs a human–machine integration through a graphical user interface; the second that performs the signal acquisition; the third that performs the training and generalization steps of the artificial neural network. The developed interface runs on a web application that has a database hosted in the cloud and in it the system user can: Acquisition of electromyography signals; Training phase of the artificial neural network; Sends the matrix of weights of the trained network to the microcontroller; Activates in the microcontroller, the state of action of the commands from the identified gestures. To compose the results of the present work, a search was initially carried out for the ideal parameters of the artificial neural network through signals obtained from 20 volunteers. In this step, it was possible to identify the topology that best classifies the signals of each gesture, as well as the investigation of the number of neurons in the hidden layer that causes a low generalization power due to overfitting. At the end of the project, it was possible to validate the use of the system with 15 new volunteers, and it was observed that in most cases, the performance of the commands in the prosthesis prototype were performed correctly. In addition, a project cost analysis was carried out, and it was possible to verify that the prototype developed is viable and has an affordable cost in relation to the Brazilian cost of living standards. In this way, the objective of the present work is in the development of a low cost artificial intelligence technology. Such a system is equipped with an algorithm based on neural networks that can deal with different muscle biopotential signals, in order to command a robotic prosthesis.

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A Low-Cost 3D Printed Prosthetic Hand with a Sensory Feedback Interface

Herbst

Sivakumaran

Medan

et al. 2022

2022 9th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob)

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Scan-Driven Fully-Automated Pipeline for a Personalized, 3D Printed Low-Cost Prosthetic Hand

Cited by 4 publications

References 18 publications

Design and Implementation of a Low-Cost and Functional Prosthetic Hand Using 3D Printing Technology for a Member of the Association of Physical Disabilities Indonesia

Design and Implementation of a Low-Cost and Functional Prosthetic Hand Using 3D Printing Technology for a Member of the Association of Physical Disabilities Indonesia

Development of intelligent and integrated technology for pattern recognition in EMG signals for robotic prosthesis command

A Low-Cost 3D Printed Prosthetic Hand with a Sensory Feedback Interface

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