Article
Computer Science, Information Systems
Ethan Eddy, Evan Campbell, Angkoon Phinyomark, Scott Bateman, Erik Scheme
Summary: The article introduces an open-source Python library, LibEMG, which can be used for offline EMG analysis and online EMG-based interaction development. By eliminating the barriers that require substantial domain expertise, the library provides researchers with an accessible tool to accelerate research and improve reproducibility. By combining expertise from the prosthetics and human-computer interaction communities, it aims to facilitate the exploration of myoelectric control technology.
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)
Article
Engineering, Electrical & Electronic
Ruijie Xie, Qingsong Li, Lijun Teng, Zhengshuai Cao, Fei Han, Qiong Tian, Jing Sun, Yang Zhao, Mei Yu, Dianpeng Qi, Peizhi Guo, Guanglin Li, Fengwei Huo, Zhiyuan Liu
Summary: Researchers have developed a nano-thick porous stretchable dry electrode system with high stretchability and water permeability, which can stably record electrophysiological signals under strenuous exercise scenarios.
NPJ FLEXIBLE ELECTRONICS
(2022)
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, Biomedical
Xuan Zhang, Xu Zhang, Le Wu, Chang Li, Xiang Chen, Xun Chen
Summary: This article introduces a gesture recognition method based on unsupervised domain adaptation, which utilizes a self-guided adaptive sampling strategy to improve the feature representation consistency of myoelectric patterns across users. Experimental results demonstrate the excellent performance of this method in cross-user classification.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2022)
Article
Engineering, Biomedical
Xuan Zhang, Le Wu, Xu Zhang, Xiang Chen, Chang Li, Xun Chen
Summary: This paper proposes a multi-source synchronize domain adaptation framework with both domain adaptation and domain generalization capability. The experiment results demonstrate the feasibility and usability of the proposed method in cross-user myoelectric control.
JOURNAL OF NEURAL ENGINEERING
(2023)
Article
Engineering, Biomedical
Bo Xue, Le Wu, Aiping Liu, Xu Zhang, Xiang Chen, Xun Chen
Summary: Due to individual differences, myoelectric interfaces trained by multiple users cannot adapt to the hand movement patterns of new users. A few-shot supervised domain adaptation framework is proposed in this paper to address this issue. The proposed method aligns the distributions of different domains and achieves high recognition accuracy with a small number of samples, reducing the user burden and facilitating the development of myoelectric pattern recognition techniques.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2023)
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, 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)
Article
Biophysics
Ana Arche-Nunez, Peter Krebsbach, Bara Levit, Daniel Possti, Aaron Gerston, Thorsten Knoll, Thomas Velten, Chen Bar-Haim, Shani Oz, Shira Klorfeld-Auslender, Gerardo Hernandez-Sosa, Anat Mirelman, Yael Hanein
Summary: This study analyzed the noise characteristics of dry electrodes and investigated the impact of physiological activity on the link between impedance and noise. The results showed that baseline noise values from dry electrodes on the arm were consistent with the Nyquist equation, while the measured noise values on the face were higher than predicted. The study also examined the effects of different electrode properties on performance.
PHYSIOLOGICAL MEASUREMENT
(2023)
Article
Engineering, Electrical & Electronic
Claudia Lopes, Hugo Veloso, Makenna Hayes, Michael A. A. Cullinan, Filipe Vaz
Summary: This research introduces a new concept of dry surface electrodes for monitoring and stimulating muscle's electrical activity. The electrodes are made of 3-D printed polymeric disk-shaped substrates with nanostructured (Ti,Cu)N thin films. Different chemical compositions were tested for their effectiveness as electrodes and the titanium doped with 25.6% copper showed the best results. The research highlights the potential of using dry electrodes in new technologies and strategies for delivering primary and integrated care.
IEEE SENSORS JOURNAL
(2023)
Article
Computer Science, Artificial Intelligence
Mauricio Cagliari Tosin, Juliano Costa Machado, Alexandre Balbinot
Summary: Despite achieving accuracies higher than 90% on recognizing upper-limb movements through sEMG signal with the state of art classifiers in the laboratory environment, there are still issues to be addressed for a myo-controlled prosthesis achieve similar performance in real environment conditions. This review provides a systematic overview of the latest research in each stage of the upper limb motion recognition system, with a focus on strategies, methodologies, and challenges addressed. Deep learning methods show promise for classification, while the detection and removal of signal contamination remain important considerations.
JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH
(2022)
Article
Neurosciences
Mojisola Grace Asogbon, Oluwarotimi Williams Samuel, Ejay Nsugbe, Yongcheng Li, Frank Kulwa, Deogratias Mzurikwao, Shixiong Chen, Guanglin Li
Summary: This article investigates the impact of myoelectric signal recording duration on finger gesture recognition and finds that a recording duration of 5 to 10 seconds can achieve good decoding accuracy. It also provides guidance for selecting appropriate recording durations.
FRONTIERS IN NEUROSCIENCE
(2023)
Article
Engineering, Electrical & Electronic
R. Rajapriya, K. Rajeswari, Deepak Joshi, S. J. Thiruvengadam
Summary: This study aims to overcome limitations in existing methods through a novel feature set extracted from electromyography's wavelet bispectrum. The proposed method shows independence when dealing with multiple dynamic factors and outperforms conventional feature sets in terms of classification accuracy.
IEEE SENSORS JOURNAL
(2021)
Review
Chemistry, Analytical
Scott Pardoel, Jonathan Kofman, Julie Nantel, Edward D. Lemaire
Review
Neurosciences
Mina Nouredanesh, Alan Godfrey, Jennifer Howcroft, Edward D. Lemaire, James Tung
Summary: Despite advances in laboratory-based supervised fall risk assessment methods, falls remain a major public health problem due to various factors. In recent years, there has been a focus on free-living fall risk assessment using wearable sensors to identify fall-prone older adults based on natural data collection. Achieving a harmonized model is necessary to address inconsistencies in the field and identify predictors with the highest predictive values for falls, in order to improve intervention programs for fall prevention.
Article
Biophysics
Dominic Monette, Patrick Dumond, Ines Chikhaoui, Paul Nichols, Edward D. Lemaire
Summary: Flax fibers are found to provide exceptional vibration damping properties in prosthetic sockets, offering lightweight and cost-effective benefits. Research has shown that composite sockets made purely of flax fibers are more efficient at reducing the amplification of vibrations compared to sockets made purely of carbon fiber. However, traditional manufacturing methods for flax sockets result in lower mechanical properties, which could be improved by increasing fiber volume fraction.
JOURNAL OF BIOMECHANICAL ENGINEERING-TRANSACTIONS OF THE ASME
(2021)
Article
Biophysics
Andrew J. J. Smith, Brandon N. Fournier, Julie Nantel, Edward D. Lemaire
JOURNAL OF BIOMECHANICS
(2020)
Article
Chemistry, Analytical
Scott Pardoel, Gaurav Shalin, Julie Nantel, Edward D. Lemaire, Jonathan Kofman
Summary: The research developed a model using multiple sensors to predict freezing of gait, with the best overall model achieving 76.4% sensitivity and 86.2% specificity. It can detect onset of FOG within 1 second, improving mobility and independence for Parkinson's disease patients in an intelligent real-time system.
Review
Orthopedics
Hossein Gholizadeh, Natalie Baddour, Michael Botros, Kelly Brannen, Farshad Golshan, Edward D. Lemaire
Summary: Despite the small global population of individuals with hip disarticulation or hemipelvectomy amputations, their disability level is high, affecting function and independence. Over the past 70 years, 53 articles evaluating HD or HP prostheses have been published, with most research conducted in the USA and Japan. The studies highlight the need for more evidence on the effects of prosthetic components on gait, patient satisfaction, interface pressure, and energy expenditure.
PROSTHETICS AND ORTHOTICS INTERNATIONAL
(2021)
Article
Chemistry, Analytical
Pascale Juneau, Natalie Baddour, Helena Burger, Andrej Bavec, Edward D. Lemaire
Summary: Automated foot strike detection in lower limb amputees was developed using raw accelerometer and gyroscope signals collected from a smartphone. The best model for foot strike identification was the LSTM with high accuracy, sensitivity, specificity, and precision. This research provides a novel method for automated foot strike identification in lower extremity amputee populations, enabling clinical use and applications such as fall detection.
Article
Chemistry, Analytical
Pascale Juneau, Natalie Baddour, Helena Burger, Andrej Bavec, Edward D. Lemaire
Summary: This research investigated automated foot strike detection and fall risk classification using data from a 2-min walk test. The results showed high accuracy in automated foot strike identification, but the features calculated using automated foot strike from 2-min data were not sufficient to classify fall risk in lower limb amputees.
Article
Chemistry, Analytical
Shri Harini Ramesh, Edward D. Lemaire, Albert Tu, Kevin Cheung, Natalie Baddour
Summary: Recent advancements in computing and AI have made it possible to quantitatively evaluate human movement using digital video, enabling more accessible gait analysis. This research developed an algorithmic implementation of the Edinburgh Visual Gait Score (EVGS) using smartphone video, resulting in accurate stride detection and strong agreement with human scoring. The findings pave the way for future studies on the use of smartphone videos and AI algorithms in remote gait analysis.
Review
Computer Science, Information Systems
Alexis L. McCreath L. Frangakis, Edward D. D. Lemaire, Natalie Baddour
Summary: The Timed Up and Go test (TUG) and L Test are functional mobility tests used to assess balance and fall risk. This study reviewed literature to identify and compare methods for segmenting the subtasks of these tests using inertial sensor data. The review found limited published methods and no universally accepted approach. Angular velocity in vertical and mediolateral directions were commonly used signals. Increasing sample sizes and further comparisons will enhance the knowledge generated from these clinically accessible tests.
Article
Biotechnology & Applied Microbiology
Yousef Bader, David Langlois, Natalie Baddour, Edward D. Lemaire
Summary: A novel integrated hip-knee (IHK) unit was designed and evaluated to address the limitations of existing hip-knee-ankle-foot prostheses (HKAFs). The IHK combines powered hip and microprocessor-controlled knee joints into one structure, with shared electronics, sensors, and batteries. ISO-10328:2016 standard mechanical proof load testing demonstrated acceptable structural safety and rigidity. Successful functional testing involved three able-bodied participants walking with the IHK in a hip prosthesis simulator, showing different walking strategies. Future development should include completion of a synergistic gait control system, improved battery-holding mechanism, and amputee user testing.
BIOENGINEERING-BASEL
(2023)
Article
Mathematics, Interdisciplinary Applications
Connor J. C. McGuirk, Natalie Baddour, Edward D. Lemaire
Summary: New AI-based marker-less motion capture models provide a foundation for quantitative movement analysis in healthcare and eldercare institutions. The Smart Hallway system, utilizing computer simulations and OpenPose technology, delivers relevant information for clinical decision making without the need for user intervention, increasing access to high-quality gait analysis.
Article
Engineering, Biomedical
Vinod Gutta, Pascal Fallavollita, Natalie Baddour, Edward D. Lemaire
Summary: This research introduces a marker-less 'smart hallway' system for analyzing gait characteristics of individuals by computing stride parameters. By utilizing multiple depth cameras to construct the smart hallway and developing a new foot tracking algorithm, accurate calculation of stride parameters was achieved successfully.
IEEE JOURNAL OF TRANSLATIONAL ENGINEERING IN HEALTH AND MEDICINE
(2021)
Article
Chemistry, Analytical
Franck Tchuente, Natalie Baddour, Edward D. Lemaire
Article
Rehabilitation
H. Gholizadeh, E. D. Lemaire, E. H. Sinitski, D. Nielen, P. Lebel
DISABILITY AND REHABILITATION-ASSISTIVE TECHNOLOGY
(2020)
