Previous studies on intramuscular EMG based control used offline data analysis. The current study investigates the usability of intramuscular EMG in two degree-of-freedom using a Fitts' Law approach by combining classification and proportional control to perform a task, with real time feedback of user performance. Nine able-bodied subjects participated in the study. Intramuscular and surface EMG signals were recorded concurrently from the right forearm. Five performance metrics (Throughput,Path efficiency, Average Speed, Overshoot and Completion Rate) were used for quantification of usability. Intramuscular EMG based control performed significantly better than surface EMG for Path Efficiency (80.5±2.4% vs. 71.5±3.8%, P=0.004) and Overshoot (22.0±3.0% vs. 45.1±6.6%, P=0.01). No difference was found between Throughput and Completion Rate. However the Average Speed was significantly higher for surface (51.8±5.5%) than for intramuscular EMG (35.7±2.7%). The results obtained in this study imply that intramuscular EMG has great potential as control source for advanced myoelectric prosthetic devices.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.jelekin.2014.06.009 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Intramuscular fatty infiltration and its correlation with muscle composition and function in hip osteoarthritis.
Skelet Muscle
December 2024
Laboratory of Exercise and Health, ETH Zurich, Schwerzenbach, Switzerland.
Background: Hip osteoarthritis patients display higher levels of fatty infiltration (FI) in the gluteus minimus (GM) compared to other hip muscles. We investigated specific histological factors such as fiber type composition and collagen deposition, and functional outcomes like muscle strength and activation associated with FI in these patients.
Methods: In twelve men (67 ± 6 y) undergoing total hip replacement (THR), hip and knee muscle strength and activation (electromyography, EMG) were assessed bilaterally.
Evaluating the Relationship Between Surface and Intramuscular-Based Electromyography Signals: Implications of Subcutaneous Fat Thickness.
J Appl Biomech
December 2024
School of Kinesiology and Health Science, York University, Toronto, ON, Canada.
Intramuscular (iEMG) and surface electromyographic (sEMG) signals have been compared previously using predictive regression equations, finite element modeling, and correlation and cross-correlation analyses. Although subcutaneous fat thickness (SCFT) has been identified as a primary source of sEMG signal amplitude attenuation and low-pass filter equivalence, few studies have explored the potential effect of SCFT on sEMG and iEMG signal characteristics. The purpose of this study was to investigate the relationship between normalized submaximal iEMG and sEMG signal amplitudes collected from 4 muscles (rectus femoris, vastus lateralis, infraspinatus, and erector spinae) and determine whether SCFT explains more variance in this relationship.
View Article and Find Full Text PDFA Real-Time Wearable Electromyography Measurement System for Small Animals.
J Vis Exp
November 2024
Department of Semiconductor Engineering, Gachon University; Department of Electronic Engineering, Gachon University;
The intramuscular electromyography (EMG) measurement method for experimental animals has been implemented in various ways. Among these methods, tethering cables to external measurement devices can restrict the movement of experimental animals, while implantable devices may cause unwanted side effects due to the constant presence of a device with considerable size and weight. To address these issues, we propose a low-cost, wireless, detachable EMG measurement system and experimental procedure.
View Article and Find Full Text PDF[Intramuscular tendon injuries of the thigh: diagnostic evaluation, surgical treatment, and rehabilitation].
Sportverletz Sportschaden
November 2024
Sektion Sportorthopädie, Klinikum Rechts der Isar, TU München, München, GERMANY.
Intramuscular tendon injuries of the thigh muscles are a relatively common and significant problem in sports medicine, particularly in high-speed sports. MRI is a valuable tool for diagnosing and evaluating the severity of these injuries. Depending on the severity and chronicity of the injury, treatment options include conservative or surgical treatment.
View Article and Find Full Text PDFEnhancing neuroprosthesis calibration: the advantage of integrating prior training over exclusive use of new data.
J Neural Eng
November 2024
Department of Biomedical Engineering, University of Utah, Salt Lake City, UT 84112, United States of America.
Neuroprostheses typically operate under supervised learning, in which a machine-learning algorithm is trained to correlate neural or myoelectric activity with an individual's motor intent. Due to the stochastic nature of neuromyoelectric signals, algorithm performance decays over time. This decay is accelerated when attempting to regress proportional control of multiple joints in parallel, compared with the more typical classification-based pattern recognition control.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!