Myoelectric prosthesis application following radial nerve reconstruction for a case of duplicated amputation of the upper limb

Author(s):  
Yasushi Hara ◽  
Hiroo Kimura ◽  
Akira Toga ◽  
Taku Suzuki ◽  
Noboru Matsumura ◽  
...  
Author(s):  
SIDHARTH PANCHOLI ◽  
AMIT M. JOSHI

EMG signal-based pattern recognition (EMG-PR) techniques have gained lots of focus to develop myoelectric prosthesis. The performance of the prosthesis control-based applications mainly depends on extraction of eminent features with minimum neural information loss. The machine learning algorithms have a significant role to play for the development of Intelligent upper-limb prosthetic control (iULP) using EMG signal. This paper proposes a new technique of extracting the features known as advanced time derivative moments (ATDM) for effective pattern recognition of amputees. Four heterogeneous datasets have been used for testing and validation of the proposed technique. Out of the four datasets, three datasets have been taken from the standard NinaPro database and the fourth dataset comprises data collected from three amputees. The efficiency of ATDM features is examined with the help of Davies–Bouldin (DB) index for separability, classification accuracy and computational complexity. Further, it has been compared with similar work and the results reveal that ATDM features have excellent classification accuracy of 98.32% with relatively lower time complexity. The lower values of DB criteria prove the good separation of features belonging to various classes. The results are carried out on 2.6[Formula: see text]GHz Intel core i7 processor with MATLAB 2015a platform.


Author(s):  
Christian Heinen ◽  
Thomas Kretschmer

Iatrogenic nerve lesions are frequently neglected. The chapter stresses the importance of adequate assessment, surgical timing, surgical strategies, follow-up, and results. Using the example of a radial nerve lesion in discontinuity due to osteosynthesis after humeral fracture, the authors describe a typical patient history with delayed presentation, as well as the role of physical examination, electrophysiology, and high-resolution ultrasound in demonstrating substantial nerve damage incompatible with spontaneous recovery. Surgical findings are demonstrated, along with a stepwise approach for nerve reconstruction via sural nerve graft. Clinical approach and surgery for traumatic radial nerve lesions are detailed, as well as general information on iatrogenic nerve lesions.


2001 ◽  
Vol 25 (2) ◽  
pp. 119-131 ◽  
Author(s):  
F. Routhier ◽  
C. Vincent ◽  
M-J. Morissette ◽  
L. Desaulniers

This study was designed to investigate the satisfaction level of young users of myoelectric prostheses who received an upper limb myoelectric prosthesis, to assess their dropout rate and to identify which factors influence the use or non-use of the upper limb myoelectric prosthesis in the eastern part of Quebec (Canada). The users were fitted between 1990 and 1999 at the Quebec Rehabilitation Institute, a major rehabilitation centre located in the province of Quebec. This rehabilitation centre provides cutting-edge expertise not only for the eastern part of Quebec, but also across the entire province, because it is one of only two highly specialised centres serving all of Quebec.A literature review was completed to compile the results obtained in other rehabilitation centres and to identify factors influencing the use or non-use of paediatric upper limb myoelectric prostheses. The Quebec User Evaluation of Satisfaction with Assistive Technology (QUEST) was used in order to assess the degree to which the children were satisfied with their prostheses.Eighteen (18) children were fitted and trained to use an upper limb myoelectric prosthesis. A total of 10 children and parents agreed to participate. Some 80% of participants said that they were satisfied with their prostheses. A dropout rate of 53% for the overall group (participants and non-participants) seems high compared with that of other studies. Recommendations linked to factors identified in the literature are made. The authors conclude that a multidisciplinary team and structured training and follow-up can improve the clinical results pertaining to all the factors proposed in the literature.


2011 ◽  
Vol 403-408 ◽  
pp. 2039-2045
Author(s):  
D. Jothi Lakshmi ◽  
G. Illakiya ◽  
R. Rajkamal

The existing prosthetic upper limb design and control is divided into two broad categories. One is the myoelectric prosthesis where electromechanical active joints actuate the arm segments and is directly activated by acquiring Electromyogram (EMG) signals from the amputee which is sensed by myoelectric electrodes. Acquiring of the EMG signals is a tedious process as it involves adequate amplification and proper filtering. Also isolation of noise from EMG signals poses difficulty. The other category falls under intelligent prosthetic hand where neural networks (NN) are involved. It requires adequate training for NN operation that leads to the complexity in implementing electronic circuits. The major disadvantage of the above mentioned technologies is lack of proprioceptive feedback from the amputee. The drawbacks of the existing technologies motivates us to design a prototype with proprioceptive feedback to control the Above Elbow (AE) prosthesis with a permanent magnet implanted at the distal end of the residual humerus of the amputee. The proprioception remains intact to the residual limb skeletal structure. In this work, the proposed approach involves in processing the magnetic field variation due to residual arm bone movement which is sensed by magnetic field sensors. The embedded controller controls the movements of the prosthetic hand by processing the signals received from the sensors to assist the AE amputee.


2020 ◽  
Author(s):  
Heather E. Williams ◽  
Craig S. Chapman ◽  
Patrick M. Pilarski ◽  
Albert H. Vette ◽  
Jacqueline S. Hebert

Abstract Background: Research studies on upper limb prosthesis function often rely on the use of simulated myoelectric prostheses (attached to and operated by individuals with intact limbs), primarily to increase participant sample size. However, it is not known if these devices elicit the same movement strategies as myoelectric prostheses (operated by individuals with amputation). The objective of this study was to compare compensatory movement strategies, measured by hand and upper body kinematics, of twelve non-disabled individuals wearing a simulated prosthesis to those of three individuals with transradial amputation using their custom-fitted myoelectric devices. Methods: Motion capture was used to obtain kinematic data as participants performed a standardized functional task. Performance metrics, end effector movements and angular kinematics were analyzed. Results: Results show that participants using a simulated or actual myoelectric prosthesis had similar differences in phase durations, hand velocities, hand trajectories, movement units, grip aperture plateaus, and trunk and shoulder motion when compared to normative behaviour. Conclusions: This study suggests that the use of a simulated device in upper limb research offers a reasonable approximation of compensatory movement strategies employed by a novice to mid-skilled transradial myoelectric prosthesis user.


Sign in / Sign up

Export Citation Format

Share Document