Design and Prototyping Soft Fingers for a Hand Prosthesis with the Aim of Predicting the Gripping Force Using LSTM

2021 ◽  
Author(s):  
Atusa Ghorbani Siavashani ◽  
Aghil Yousefi-Koma ◽  
Amirhosein Vedadi
Keyword(s):  
Hand Prosthesis ◽  
Gripping Force

scholarly journals Design of a 3D-printed hand prosthesis featuring articulated bio-inspired fingers

2020 ◽  
pp. 095441192098088
Author(s):  
Juan Sebastian Cuellar ◽  
Dick Plettenburg ◽  
Amir A Zadpoor ◽  
Paul Breedveld ◽  
Gerwin Smit
Keyword(s):  
3D Printing ◽  
Design Principles ◽  
Prosthetic Hand ◽  
Hand Prosthesis ◽  
Fused Deposition ◽  
Pinch Force ◽  
Actuation System ◽  
3D Printed ◽  
Energy Dissipated ◽  
Dual Material

Various upper-limb prostheses have been designed for 3D printing but only a few of them are based on bio-inspired design principles and many anatomical details are not typically incorporated even though 3D printing offers advantages that facilitate the application of such design principles. We therefore aimed to apply a bio-inspired approach to the design and fabrication of articulated fingers for a new type of 3D printed hand prosthesis that is body-powered and complies with basic user requirements. We first studied the biological structure of human fingers and their movement control mechanisms in order to devise the transmission and actuation system. A number of working principles were established and various simplifications were made to fabricate the hand prosthesis using a fused deposition modelling (FDM) 3D printer with dual material extrusion. We then evaluated the mechanical performance of the prosthetic device by measuring its ability to exert pinch forces and the energy dissipated during each operational cycle. We fabricated our prototypes using three polymeric materials including PLA, TPU, and Nylon. The total weight of the prosthesis was 92 g with a total material cost of 12 US dollars. The energy dissipated during each cycle was 0.380 Nm with a pinch force of ≈16 N corresponding to an input force of 100 N. The hand is actuated by a conventional pulling cable used in BP prostheses. It is connected to a shoulder strap at one end and to the coupling of the whiffle tree mechanism at the other end. The whiffle tree mechanism distributes the force to the four tendons, which bend all fingers simultaneously when pulled. The design described in this manuscript demonstrates several bio-inspired design features and is capable of performing different grasping patterns due to the adaptive grasping provided by the articulated fingers. The pinch force obtained is superior to other fully 3D printed body-powered hand prostheses, but still below that of conventional body powered hand prostheses. We present a 3D printed bio-inspired prosthetic hand that is body-powered and includes all of the following characteristics: adaptive grasping, articulated fingers, and minimized post-printing assembly. Additionally, the low cost and low weight make this prosthetic hand a worthy option mainly in locations where state-of-the-art prosthetic workshops are absent.

Custom-made silicone hand prosthesis: A case study

2016 ◽  
Vol 35 (4) ◽  
pp. 299-303 ◽  
Author(s):  
S. Nayak ◽  
P.K. Lenka ◽  
A. Equebal ◽  
A. Biswas
Keyword(s):  
Hand Prosthesis ◽  
Custom Made

scholarly journals Intuitive real-time control strategy for high-density myoelectric hand prosthesis using deep and transfer learning

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Simon Tam ◽  
Mounir Boukadoum ◽  
Alexandre Campeau-Lecours ◽  
Benoit Gosselin
Keyword(s):  
Real Time ◽  
Transfer Learning ◽  
Control Strategy ◽  
High Density ◽  
Fine Tuning ◽  
Mode Switching ◽  
Correct Prediction ◽  
Learning Approach ◽  
Predictive Values ◽  
Hand Prosthesis

AbstractMyoelectric hand prostheses offer a way for upper-limb amputees to recover gesture and prehensile abilities to ease rehabilitation and daily life activities. However, studies with prosthesis users found that a lack of intuitiveness and ease-of-use in the human-machine control interface are among the main driving factors in the low user acceptance of these devices. This paper proposes a highly intuitive, responsive and reliable real-time myoelectric hand prosthesis control strategy with an emphasis on the demonstration and report of real-time evaluation metrics. The presented solution leverages surface high-density electromyography (HD-EMG) and a convolutional neural network (CNN) to adapt itself to each unique user and his/her specific voluntary muscle contraction patterns. Furthermore, a transfer learning approach is presented to drastically reduce the training time and allow for easy installation and calibration processes. The CNN-based gesture recognition system was evaluated in real-time with a group of 12 able-bodied users. A real-time test for 6 classes/grip modes resulted in mean and median positive predictive values (PPV) of 93.43% and 100%, respectively. Each gesture state is instantly accessible from any other state, with no mode switching required for increased responsiveness and natural seamless control. The system is able to output a correct prediction within less than 116 ms latency. 100% PPV has been attained in many trials and is realistically achievable consistently with user practice and/or employing a thresholded majority vote inference. Using transfer learning, these results are achievable after a sensor installation, data recording and network training/fine-tuning routine taking less than 10 min to complete, a reduction of 89.4% in the setup time of the traditional, non-transfer learning approach.

Hand Prosthesis: Finger Localization Based on Forearm Ultrasound Imaging

2019 ◽  
Author(s):  
Amir Samadi ◽  
Mohammad-Reza Azizi ◽  
S. Reza Kashef ◽  
Mohammad-R Akbarzadeh-T ◽  
Alireza Akbarzadeh-T ◽  
...  
Keyword(s):  
Ultrasound Imaging ◽  
Hand Prosthesis

scholarly journals Longitudinal Case Study of Regression-Based Hand Prosthesis Control in Daily Life

2020 ◽  
Vol 14 ◽  
Author(s):  
Janne M. Hahne ◽  
Meike A. Wilke ◽  
Mario Koppe ◽  
Dario Farina ◽  
Arndt F. Schilling
Keyword(s):  
Daily Life ◽  
Longitudinal Case Study ◽  
Hand Prosthesis ◽  
Prosthesis Control

Data fusion for a hand prosthesis tactile feedback system

2014 ◽  
Author(s):  
Huaiqi Huang ◽  
Christian Enz ◽  
Martin Grambone ◽  
Jorn Justiz ◽  
Tao Li ◽  
...  
Keyword(s):  
Data Fusion ◽  
Feedback System ◽  
Tactile Feedback ◽  
Hand Prosthesis

COLOUR-MATCHING IN HAND AND FINGER PROSTHESES: THE ASIAN PERSPECTIVE

Hand Surgery ◽  
1996 ◽  
Vol 01 (01) ◽  
pp. 37-43 ◽  
Author(s):  
Eng-Lye Leow ◽  
Anam-Kueh Kour ◽  
Barry P. Pereira ◽  
Robert W.H. Pho
Keyword(s):  
Asian Population ◽  
Hand Prosthesis ◽  
Custom Made ◽  
Wide Range ◽  
Colour Match ◽  
Matching Procedure

The wide range of skin tones in the Asian population presents a challenge when colour-matching hand and finger prostheses. It requires that the prostheses be custom-made to better match the wide variations. We have developed a finger and hand prosthesis using a multi-layered moulding technique incorporating a colour-matching procedure capable of reproducing the colour tones and life-like appearance of the skin. Between 1990–1994, we have fitted these prostheses to a total of 109 patients. In evaluating the colour-match of their prostheses, 84% of the patients fitted with hand prostheses and 78% of those fitted with finger prostheses had a good to excellent match. This paper discusses some of the challenges we face in colour-matching hand and finger prostheses in the Asian population.

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