scholarly journals Evaluation of a Low Cost Prosthetic Hand Controlled by Surface EMG Sensors and Vibrotactile Feedback

2018 ◽  
Vol 13 (2) ◽  
pp. 69-78
Author(s):  
Victor Argueta-Diaz ◽  
Cameron J Spitzfaden ◽  
Durham Basso ◽  
Hope L Ayers
Keyword(s):  
Low Cost ◽  
Surface Emg ◽  
Average Score ◽  
Prosthetic Hand ◽  
Vibrotactile Feedback ◽  
Semg Signal ◽  
Subjective Data ◽  
Feedback Type ◽  
Control Schemes ◽  
Flexor Digitorum

This study proposes a prosthetic hand with a simple control algorithm and off-the-shelf electronics. We designed this hand to be used and repaired in underdeveloped regions.  A differential sEMG signal is obtained from the flexor digitorum superficialis and extensor digitorum muscles to control the position of the hand’s grasp.  Three different hand control schemes (visual, vibrotactile and visual plus vibrotactile) were compared and tested in ten able-bodied individuals.  We observed a better performance of the visual and vibrotactile control overall, but the vibrotactile feedback increased performance after several interactions.  In subjective data evaluations vibrotactile and visual feedback had the highest scores in light and medium pressures, while visual-only feedback type had the highest average score for hard pressure.

scholarly journals Low-cost wearable multichannel surface EMG acquisition for prosthetic hand control

2015 ◽  
Author(s):  
Davide Brunelli ◽  
Andualem Maereg Tadesse ◽  
Bernhard Vodermayer ◽  
Markus Nowak ◽  
Claudio Castellini
Keyword(s):  
Low Cost ◽  
Surface Emg ◽  
Prosthetic Hand ◽  
Hand Control

scholarly journals Low-cost electromyography: validity against a commercial system depends on exercise type and intensity

2021 ◽  
Author(s):  
Paolo Tecchio ◽  
Andrea Monte ◽  
Paola Zamparo
Keyword(s):  
Vastus Lateralis ◽  
Low Cost ◽  
Surface Emg ◽  
Knee Extensors ◽  
Experimental Conditions ◽  
Semg Signal ◽  
Time To Peak ◽  
Custom Made ◽  
Significant Difference ◽  
Correlation Parameters

The aim of this study was to assess the validity of a custom-made low cost (LC) and a commercial surface EMG apparatus in controlled experimental conditions and different exercise types: maximal voluntary contractions (MVC) at 105, 90, 75, 60, 45 and 30° knee angle and explosive fix-end contractions of the knee extensors (75°) at an isometric dynamometer. sEMG of vastus lateralis was recorded from the same electrodes simultaneously, then analyzed in the same way; sEMG were finally expressed in percentage of those collected at 75°MVC. LC underestimated the sEMG signal at the more extended knee angles (30-60°), significant difference was observed only at 30°. In the explosive contractions no differences between devices were observed in average and peak sEMG, as well as in the time to peak and the activation time. Bland-Altman tests and correlation parameters indicate the LC device is not sensible enough to detect the time to peak and the peak values of the sEMG signal properly. Results suggest low-cost systems might be a valid alternative to commercial ones, but attention must be paid when analyzing rapid events.

scholarly journals Low-cost Active Dry-Contact Surface EMG Sensor for Bionic Arms

2020 ◽  
Author(s):  
Asma M. Naim ◽  
Kithmin Wickramasinghe ◽  
Ashwin De Silva ◽  
Malsha V. Perera ◽  
Thilina Dulantha Lalitharatne ◽  
...  
Keyword(s):  
Contact Surface ◽  
Low Cost ◽  
Surface Emg ◽  
Dry Contact

scholarly journals Design and multichannel electromyography system-based neural network control of a low-cost myoelectric prosthesis hand

2021 ◽  
Vol 12 (1) ◽  
pp. 69-83
Author(s):  
Saygin Siddiq Ahmed ◽  
Ahmed R. J. Almusawi ◽  
Bülent Yilmaz ◽  
Nuran Dogru
Keyword(s):  
Neural Network ◽  
Control Method ◽  
Low Cost ◽  
Hand Movement ◽  
Cost Effective ◽  
Network Control ◽  
Human Hand ◽  
Prosthetic Hand ◽  
Myoelectric Prosthesis ◽  
System File

Abstract. This study introduces a new control method for electromyography (EMG) in a prosthetic hand application with a practical design of the whole system. The hand is controlled by a motor (which regulates a significant part of the hand movement) and a microcontroller board, which is responsible for receiving and analyzing signals acquired by a Myoware muscle device. The Myoware device accepts muscle signals and sends them to the controller. The controller interprets the received signals based on the designed artificial neural network. In this design, the muscle signals are read and saved in a MATLAB system file. After neural network program processing by MATLAB, they are then applied online to the prosthetic hand. The obtained signal, i.e., electromyogram, is programmed to control the motion of the prosthetic hand with similar behavior to a real human hand. The designed system is tested on seven individuals at Gaziantep University. Due to the sufficient signal of the Mayo armband compared to Myoware sensors, Mayo armband muscle is applied in the proposed system. The discussed results have been shown to be satisfactory in the final proposed system. This system was a feasible, useful, and cost-effective solution for the handless or amputated individuals. They have used the system in their day-to-day activities that allowed them to move freely, easily, and comfortably.

Rapid prototyping prosthetic hand acting by a low-cost shape-memory-alloy actuator

2018 ◽  
Vol 21 (2) ◽  
pp. 238-246 ◽  
Author(s):  
Enrique Soriano-Heras ◽  
Fernando Blaya-Haro ◽  
Carlos Molino ◽  
José María de Agustín del Burgo
Keyword(s):  
Shape Memory Alloy ◽  
Rapid Prototyping ◽  
Shape Memory ◽  
Low Cost ◽  
Prosthetic Hand ◽  
Shape Memory Alloy Actuator
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