Electromyogram Whitening for Improved Classification Accuracy in Upper Limb Prosthesis Control

Author(s):  
Lukai Liu ◽  
Pu Liu ◽  
Edward A. Clancy ◽  
Erik Scheme ◽  
Englehart
2022 ◽  
Vol 73 ◽  
pp. 103454
Author(s):  
Anestis Mablekos-Alexiou ◽  
Spiros Kontogiannopoulos ◽  
Georgios A. Bertos ◽  
Evangelos Papadopoulos

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Nasir Rashid ◽  
Javaid Iqbal ◽  
Amna Javed ◽  
Mohsin I. Tiwana ◽  
Umar Shahbaz Khan

Brain Computer Interface (BCI) determines the intent of the user from a variety of electrophysiological signals. These signals, Slow Cortical Potentials, are recorded from scalp, and cortical neuronal activity is recorded by implanted electrodes. This paper is focused on design of an embedded system that is used to control the finger movements of an upper limb prosthesis using Electroencephalogram (EEG) signals. This is a follow-up of our previous research which explored the best method to classify three movements of fingers (thumb movement, index finger movement, and first movement). Two-stage logistic regression classifier exhibited the highest classification accuracy while Power Spectral Density (PSD) was used as a feature of the filtered signal. The EEG signal data set was recorded using a 14-channel electrode headset (a noninvasive BCI system) from right-handed, neurologically intact volunteers. Mu (commonly known as alpha waves) and Beta Rhythms (8–30 Hz) containing most of the movement data were retained through filtering using “Arduino Uno” microcontroller followed by 2-stage logistic regression to obtain a mean classification accuracy of 70%.


Author(s):  
Avinash Sharma ◽  
Christopher L. Hunt ◽  
Asheesh Maheshwari ◽  
Luke Osborn ◽  
Gyorgy Levay ◽  
...  

2010 ◽  
Vol 7 (3) ◽  
pp. 1-23 ◽  
Author(s):  
Amy Blank ◽  
Allison M. Okamura ◽  
Katherine J. Kuchenbecker

Author(s):  
Sebastian Amsuess ◽  
Ivan Vujaklija ◽  
Peter Goebel ◽  
Aidan D. Roche ◽  
Bernhard Graimann ◽  
...  

2014 ◽  
Vol 61 (4) ◽  
pp. 1167-1176 ◽  
Author(s):  
Sebastian Amsuss ◽  
Peter M. Goebel ◽  
Ning Jiang ◽  
Bernhard Graimann ◽  
Liliana Paredes ◽  
...  

Author(s):  
Meria Yazdani

Abstract Introduction: upper limb amputee Children usually uses prosthesis for better function. But studies show a high percentage of rejection of the prosthesis in this group. In clinical studies, there are not very different in function of children who use of prosthesis and those who do not. Answer to why children accept and use their prosthesis or reject it could help and improve the future design of the prosthesis and rehabilitation. The aim of this study was finding important criteria for children with below elbow amputation, their parents and therapists for acceptance and use of prosthetics or rejects it in children group. Method: This study was conducted by literature search of Science direct, Google Scholar, Cochran Library, MEDLINE and PubMed between 1966 and 2014 ,that investigated effective factors in accept or reject of below elbow prosthesis in below elbow amputee children.For quality assessment of articles we rated each paper using the Downs and Black score ranges and Pedro scale . The two reviewers independently read and classified the articles by population, type of study and results. Results After initial evaluation and reviews, 14 articles were included in this study. Most studies were reported form and questionnaire and clinical observations.The general characteristics of the prosthesis, prosthesis control method, quality of life, family and the rehabilitation procedures were important factors were explored in these literature. Conclusion According to the studies, it is necessary to optimize the prosthesis according to the real children expectations and needs to improve their quality of life.There are controversial studies about performance and first time prosthesis in children but studies confirmed that Group therapy can increase the acceptance rate of prosthesis. Training and finding ways for function without prosthesis along using it to communicate with the environment, increase motor control and sensory perception that could increase accept of prosthesis in children. Keywords: upper limb prosthesis, children, amputation


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