Real-time EMG based pattern recognition control for hand prostheses: A review on existing methods, challenges and future implementation

N Parajuli, N Sreenivasan, P Bifulco, M Cesarelli… - Sensors, 2019 - mdpi.com
Upper limb amputation is a condition that significantly restricts the amputees from performing
their daily activities. The myoelectric prosthesis, using signals from residual stump muscles …

Gesture recognition using surface electromyography and deep learning for prostheses hand: state-of-the-art, challenges, and future

W Li, P Shi, H Yu - Frontiers in neuroscience, 2021 - frontiersin.org
Amputation of the upper limb brings heavy burden to amputees, reduces their quality of life,
and limits their performance in activities of daily life. The realization of natural control for …

The extraction of neural information from the surface EMG for the control of upper-limb prostheses: emerging avenues and challenges

D Farina, N Jiang, H Rehbaum… - … on Neural Systems …, 2014 - ieeexplore.ieee.org
Despite not recording directly from neural cells, the surface electromyogram (EMG) signal
contains information on the neural drive to muscles, ie, the spike trains of motor neurons …

Myoelectric control of prosthetic hands: state-of-the-art review

P Geethanjali - Medical Devices: Evidence and Research, 2016 - Taylor & Francis
Myoelectric signals (MES) have been used in various applications, in particular, for
identification of user intention to potentially control assistive devices for amputees, orthotic …

Linear vs. quadratic discriminant analysis classifier: a tutorial

A Tharwat - International Journal of Applied Pattern …, 2016 - inderscienceonline.com
The aim of this paper is to collect in one place the basic background needed to understand
the discriminant analysis (DA) classifier to make the reader of all levels be able to get a …

[HTML][HTML] Current state of digital signal processing in myoelectric interfaces and related applications

M Hakonen, H Piitulainen, A Visala - Biomedical Signal Processing and …, 2015 - Elsevier
This review discusses the critical issues and recommended practices from the perspective of
myoelectric interfaces. The major benefits and challenges of myoelectric interfaces are …

Simultaneous control of multiple functions of bionic hand prostheses: Performance and robustness in end users

JM Hahne, MA Schweisfurth, M Koppe, D Farina - Science Robotics, 2018 - science.org
Myoelectric hand prostheses are usually controlled with two bipolar electrodes located on
the flexor and extensor muscles of the residual limb. With clinically established techniques …

Regression convolutional neural network for improved simultaneous EMG control

A Ameri, MA Akhaee, E Scheme… - Journal of neural …, 2019 - iopscience.iop.org
Objective. Deep learning models can learn representations of data that extract useful
information in order to perform prediction without feature engineering. In this paper, an …

Active upper limb prostheses: A review on current state and upcoming breakthroughs

A Marinelli, N Boccardo, F Tessari… - Progress in …, 2023 - iopscience.iop.org
The journey of a prosthetic user is characterized by the opportunities and the limitations of a
device that should enable activities of daily living (ADL). In particular, experiencing a bionic …

Improved prosthetic hand control with concurrent use of myoelectric and inertial measurements

A Krasoulis, I Kyranou, MS Erden, K Nazarpour… - … of neuroengineering and …, 2017 - Springer
Background Myoelectric pattern recognition systems can decode movement intention to
drive upper-limb prostheses. Despite recent advances in academic research, the …