A review of current state-of-the-art control methods for lower-limb powered prostheses
Lower-limb prostheses aim to restore ambulatory function for individuals with lower-limb
amputations. While the design of lower-limb prostheses is important, this paper focuses on …
amputations. While the design of lower-limb prostheses is important, this paper focuses on …
Electromyogram pattern recognition for control of powered upper-limb prostheses: state of the art and challenges for clinical use.
E Scheme, K Englehart - Journal of Rehabilitation Research …, 2011 - search.ebscohost.com
Using electromyogram (EMG) signals to control upper-limb prostheses is an important
clinical option, offering a person with amputation autonomy of control by contracting residual …
clinical option, offering a person with amputation autonomy of control by contracting residual …
Self-recalibrating surface EMG pattern recognition for neuroprosthesis control based on convolutional neural network
Hand movement classification based on surface electromyography (sEMG) pattern
recognition is a promising approach for upper limb neuroprosthetic control. However …
recognition is a promising approach for upper limb neuroprosthetic control. However …
Electromyogram-based classification of hand and finger gestures using artificial neural networks
Electromyogram (EMG) signals have been increasingly used for hand and finger gesture
recognition. However, most studies have focused on the wrist and whole-hand gestures and …
recognition. However, most studies have focused on the wrist and whole-hand gestures and …
Active upper limb prostheses: A review on current state and upcoming breakthroughs
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 …
device that should enable activities of daily living (ADL). In particular, experiencing a bionic …
[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 …
myoelectric interfaces. The major benefits and challenges of myoelectric interfaces are …
Continuous locomotion-mode identification for prosthetic legs based on neuromuscular–mechanical fusion
In this study, we developed an algorithm based on neuromuscular–mechanical fusion to
continuously recognize a variety of locomotion modes performed by patients with …
continuously recognize a variety of locomotion modes performed by patients with …
Study of stability of time-domain features for electromyographic pattern recognition
Background Significant progress has been made towards the clinical application of human-
machine interfaces (HMIs) based on electromyographic (EMG) pattern recognition for …
machine interfaces (HMIs) based on electromyographic (EMG) pattern recognition for …
Feasibility of wrist-worn, real-time hand, and surface gesture recognition via sEMG and IMU sensing
While most wearable gesture recognition approaches focus on the forearm or fingers, the
wrist may be a more suitable location for practical use. We present the design and validation …
wrist may be a more suitable location for practical use. We present the design and validation …
Intelligent EMG pattern recognition control method for upper-limb multifunctional prostheses: advances, current challenges, and future prospects
Upper-limb amputation imposes significant burden on amputees thereby restricting them
from fully exploring their environments during activities of daily living. The use of intelligent …
from fully exploring their environments during activities of daily living. The use of intelligent …