Article
Chemistry, Analytical
He Wang, Kiriaki J. Rajotte, Haopeng Wang, Chenyun Dai, Ziling Zhu, Xinming Huang, Edward A. Clancy
Summary: The study found that noise correction via the root difference of squares method can significantly reduce EMG recording noise, and sampling at 4096 Hz provides slight but statistically significant improvements compared to sampling at 2048 Hz and 1024 Hz. Whitening filters calibrated to the EMG spectrum of each subject performed best at a sampling rate of 4096 Hz.
Article
Engineering, Biomedical
Ziling Zhu, Jianan Li, William J. Boyd, Carlos Martinez-Luna, Chenyun Dai, Haopeng Wang, He Wang, Xinming Huang, Todd R. Farrell, Edward A. Clancy
Summary: Recent research has made progress in achieving simultaneous, independent, and proportional control of hand-wrist prostheses using surface electromyogram signals. Two regression-based controllers were evaluated and compared with a conventional sequential controller, with the regression controllers performing better in certain tasks.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2022)
Review
Computer Science, Information Systems
Muhammad Al-Ayyad, Hamza Abu Owida, Roberto De Fazio, Bassam Al-Naami, Paolo Visconti
Summary: In recent years, there has been a growing trend towards science-supported medicine, which uses replicable results from comprehensive studies to assist clinical decision-making. This review focuses on the application of surface electromyography (sEMG) in rehabilitation and health monitoring systems, evaluating its technical specifications, including wearability.
Article
Engineering, Biomedical
Jianan Li, Ziling Zhu, William J. Boyd, Carlos Martinez-Luna, Chenyun Dai, Haopeng Wang, He Wang, Xinming Huang, Todd R. Farrell, Edward A. Clancy
Summary: Most transradial prosthesis users have limited function with conventional Sequential myoelectric control, as they can only control one degree of freedom at a time. However, our regression-based EMG control method allows simultaneous and proportional control of two degrees of freedom in a virtual task. Using a short calibration period and automated electrode site selection, we achieved better target matching performance than Sequential control.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2023)
Article
Engineering, Biomedical
Oluwarotimi Williams Samuel, Mojisola Grace Asogbon, Rami Khushaba, Frank Kulwa, Guanglin Li
Summary: Surface electromyogram (sEMG) is widely used in biomedical applications, especially in miniaturized rehabilitation robots. Due to its rich motor information content and non-invasiveness, sEMG is commonly used to drive pattern recognition (PR)-based control schemes. However, sEMG recordings have non-linear and non-uniform properties, and there are interferences that distort the signal's intrinsic characteristics, making existing signal processing methods unable to provide the required motor control information. Therefore, a multiresolution decomposition driven by dual-polynomial interpolation (MRDPI) technique is proposed for denoising and reconstruction of multi-class EMG signals to enhance signal quality and preserve motor information.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2023)
Article
Engineering, Electrical & Electronic
Emma Farago, Adrian D. C. Chan
Summary: This pilot study demonstrates the potential for developing an automated process to quantify EMG channel quality. By using a dataset of high-density recordings and ratings from expert EMG raters, the study found that the random forest and support vector regression models had a strong correlation and reliability in labeling electrodes.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Review
Engineering, Biomedical
Emma Farago, Dawn MacIsaac, Michelle Suk, Adrian D. C. Chan
Summary: Electromyography (EMG) signals are important for various applications, but signal contaminants can degrade the signal quality. Different strategies need to be used to detect and quantify these contaminants, depending on the circumstances of data collection.
IEEE REVIEWS IN BIOMEDICAL ENGINEERING
(2023)
Article
Chemistry, Analytical
Enrico M. Staderini, Stefano Mugnaini, Harish Kambampati, Andrea Magrini, Sandro Gentili
Summary: This research aims to improve the combination of the common ECG/EMG Olimex board and Arduino microprocessor board to provide a low-cost multichannel EMG acquisition system with better performance. By improving the bandpass characteristics of the ECG/EMG Olimex board and increasing the sampling frequency of the signal, the bandwidth requirements of EMG can be met. Additionally, the system has the capability of automatically detecting multiple ECG/EMG Olimex boards.
Article
Engineering, Electrical & Electronic
Cheng Shen, Zhongcai Pei, Weihai Chen, Zhongyi Li, Jianhua Wang, Jianbin Zhang, Jianer Chen
Summary: This article proposes a method for estimating the stiffness of the elbow joint based on sEMG signals. By establishing the relationship between joint torque, joint angle, and joint stiffness, it enables flexible rehabilitation motion. The use of an improved regression algorithm and a time-domain descriptor sEMG feature improves the accuracy of joint angle recognition and achieves impressive regression performance.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Chemistry, Analytical
Jordan Coker, Howard Chen, Mark C. Schall, Sean Gallagher, Michael Zabala
Summary: This study utilized an artificial neural network to predict knee flexion angles based on EMG signals and found that the accuracy of prediction was affected by the length of time into the future, with increased time leading to decreased accuracy. Furthermore, increasing the number of training trials improved the accuracy of angle prediction.
Article
Robotics
Jordan J. Bird, Michael Pritchard, Antonio Fratini, Aniko Ekart, Diego R. Faria
Summary: Synthetic data augmentation is crucial for machine learning classification, with multiple GPT-2 models able to generate synthetic biological signals and improve real data classification. The introduction of synthetic signals significantly enhances algorithm accuracy, particularly for new subject data classification.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2021)
Article
Chemistry, Analytical
Nebojsa Malesevic, Anders Bjorkman, Gert S. Andersson, Christian Cipriani, Christian Antfolk
Summary: This paper evaluates fourteen common algorithms for the direct and proportional control of a prosthetic hand. The estimation of forces generated in the hand using different algorithms is compared to the measured forces, providing a baseline performance metric for more advanced algorithms.
Article
Engineering, Biomedical
Matthew J. Hambly, Ana Carolina C. de Sousa, Claudio Pizzolato
Summary: This study evaluated the effectiveness of three commonly used filtering methods in neurorehabilitation in extracting the volitional component of electrically stimulated muscles. The results showed that the adaptive and comb filters outperformed the other filters in estimating volitional muscle activity.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2024)
Article
Biotechnology & Applied Microbiology
Geng Li, Mohammad S. Shourijeh, Di Ao, Carolynn Patten, Benjamin J. Fregly
Summary: Muscle co-contractions can enhance stability and accuracy during limb movement but come with higher energy cost. This study investigated the feasibility of using two common Co-Contraction Index (CCI) formulations to approximate lower limb joint stiffness trends during gait. The correlations between CCI formulations and joint stiffness were found to be highly influenced by methodological choices in CCI computation.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2021)
Article
Neurosciences
Edward A. Clancy, Evelyn L. Morin, Gelareh Hajian, Roberto Merletti
Summary: This tutorial provides guidance and best practices for novice clinicians, engineers, and non-engineers in extracting electromyogram (EMG) amplitude from the bipolar surface EMG (sEMG) signal of voluntary contractions. It also covers sEMG amplitude extraction from high density sEMG (HDsEMG) arrays and feature extraction from electrically elicited contractions. The tutorial aims to present its main concepts in a straightforward manner for novices in the field, with or without a technical background.
JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY
(2023)
