Control methods for upper extremity prostheses

Gorokhova, Natalia M.; Golovin, Mikhail A.; Chezhin, Mikhail S.

doi:10.17586/2226-1494-2019-19-2-314-325

Cited by 3 publications

(3 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In commercial prostheses, based, for example, on the surface EMG method, signals are collected by electrodes from two groups of muscles of the stump (flexors and extensors) and fed through amplifiers to the electromechanical hand control system [35]. In turn, an increase in the number of electrodes and their locations leads to an increase in the cost of such systems [36].…”

Section: Field Of Studymentioning

confidence: 99%

See 1 more Smart Citation

An Approach to Using Electrical Impedance Myography Signal Sensors to Assess Morphofunctional Changes in Tissue during Muscle Contraction

Kapravchuk,

Briko,

Kobelev

et al. 2024

Biosensors

View full text Add to dashboard Cite

This present work is aimed at conducting fundamental and exploratory studies of the mechanisms of electrical impedance signal formation. This paper also considers morphofunctional changes in forearm tissues during the performance of basic hand actions. For this purpose, the existing research benches were modernized to conduct experiments of mapping forearm muscle activity by electrode systems on the basis of complexing the electrical impedance signals and electromyography signals and recording electrode systems’ pressing force using force transducers. Studies were carried out with the involvement of healthy volunteers in the implementation of vertical movement of the electrode system and ultrasound transducer when the subject’s upper limb was positioned in the bed of the stand while performing basic hand actions in order to identify the relationship between the morphofunctional activity of the upper limb muscles and the recorded parameters of the electro-impedance myography signal. On the basis of the results of the studies, including complex measurements of neuromuscular activity on healthy volunteers such as the signals of electro-impedance myography and pressing force, analyses of the morphofunctional changes in tissues during action performance on the basis of ultrasound and MRI studies and the factors influencing the recorded signals of electro-impedance myography are described. The results are of fundamental importance and will enable reproducible electro-impedance myography signals, which, in turn, allow improved anthropomorphic control.

show abstract

Section: Field Of Studymentioning

confidence: 99%

“…Prostheses at the level of the hand and fingers are designed to compensate for lost functions such as grasping and holding objects with a certain force. Prostheses at the level of the forearm and after its isolation are intended mainly for manipulation: moving objects from one position to another [35].…”

Section: Field Of Studymentioning

confidence: 99%

An Approach to Using Electrical Impedance Myography Signal Sensors to Assess Morphofunctional Changes in Tissue during Muscle Contraction

Kapravchuk,

Briko,

Kobelev

et al. 2024

Biosensors

View full text Add to dashboard Cite

show abstract

“…The task of controlling mechatronic and robotic systems is especially relevant for the development of human-machine interfaces for people with disabilities [1][2][3][4][5][6][7]. The number of disabled people in November 2020 is more than 11 million people, which corresponds to 8% of the total population of Russia.…”

Section: Introductionmentioning

confidence: 99%

Investigation of the Possibility of Vector-Command Control Based on Forearm EMG

Budko

Medvedev

Budko

et al. 2021

Smart Innovation, Systems and Technologies

View full text Add to dashboard Cite

The work is devoted to solving the problems of increasing the depth and increasing the long-term stability of communication channels in human-machine interfaces, built on the electrical activity databases of the forearm muscles. For this, a method for analyzing electromyogram (EMG) signals is proposed, which combines vector and command control. The mathematical model for vector analysis of EMG is built in spherical coordinates based on the real spatial arrangement of the electrodes on the forearm, taking into account the possibility of a random phase shift during operation. Vector analysis of EMG is used to solve the calibration task of EMG sensors channels by the spatial arrangement of the electrodes and calculating the resultant vector of muscular forces. These forces are used as an additional information channel to set the movement direction of the control object operating point. Command control is based on gesture recognition by means of a pretrained artificial neural network (ANN) of the multilayer perceptron type. Processing results of actually recorded EMG signals by the proposed method are presented. There are given research results of correlation between processed signal fragments duration and the process of extracting the hand rotational movement information. It is proposed to use the signal duration of 250 ms. An algorithm of reassigning and calibrating the EMG channels amplification is proposed, which makes it possible to use further a once trained ANN for recognition and classification of gestures, while the position changing of electrodes between operation sessions is allowed. The work results can be used for calibration algorithms development, gesture recognition, and control of technical objects based on electromyographic human-machine interfaces.

show abstract

Design Principles of an Intelligent Self-Moving Adaptive Upper Limb Prosthesis Based on a Parallel Octahedral Dodecapod Robot

Sayapin

2022

Biomed Eng

View full text Add to dashboard Cite

Control methods for upper extremity prostheses

Cited by 3 publications

References 35 publications

An Approach to Using Electrical Impedance Myography Signal Sensors to Assess Morphofunctional Changes in Tissue during Muscle Contraction

An Approach to Using Electrical Impedance Myography Signal Sensors to Assess Morphofunctional Changes in Tissue during Muscle Contraction

Investigation of the Possibility of Vector-Command Control Based on Forearm EMG

Design Principles of an Intelligent Self-Moving Adaptive Upper Limb Prosthesis Based on a Parallel Octahedral Dodecapod Robot

Contact Info

Product

Resources

About