Literature DB >> 11686631

Concentric-ring electrode systems for noninvasive detection of single motor unit activity.

D Farina1, C Cescon.   

Abstract

New recording techniques for detecting surface electromyographic (EMG) signals based on concentric-ring electrodes are proposed in this paper. A theoretical study of the two-dimensional (2-D) spatial transfer function of these recording systems is developed both in case of rings with a physical dimension and in case of line rings. Design criteria for the proposed systems are presented in relation to spatial selectivity. It is shown that, given the radii of the rings, the weights of the spatial filter can be selected in order to improve the rejection of low spatial frequencies, thus increasing spatial selectivity. The theoretical transfer functions of concentric systems are obtained and compared with those of other detection systems. Signals detected with the ring electrodes and with traditional one-dimensional and 2-D systems are compared. The concentric-ring systems show higher spatial selectivity with respect to the traditional detection systems and reduce the problem of electrode location since they are invariant to rotations. The results shown are very promising for the noninvasive detection of single motor unit (MU) activities and decomposition of the surface EMG signal into the constituent MU action potential trains.

Mesh:

Year:  2001        PMID: 11686631     DOI: 10.1109/10.959328

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  11 in total

1.  Single motor unit analysis from spatially filtered surface electromyogram signals. Part I: spatial selectivity.

Authors:  D Farina; E Schulte; R Merletti; G Rau; C Disselhorst-Klug
Journal:  Med Biol Eng Comput       Date:  2003-05       Impact factor: 2.602

2.  Comparison of spatial filter selectivity in surface myoelectric signal detection: influence of the volume conductor model.

Authors:  D Farina; L Mesin; S Martina; R Merletti
Journal:  Med Biol Eng Comput       Date:  2004-01       Impact factor: 2.602

3.  A simulation study for a surface EMG sensor that detects distinguishable motor unit action potentials.

Authors:  Jin Lee; Alexander Adam; Carlo J De Luca
Journal:  J Neurosci Methods       Date:  2007-09-18       Impact factor: 2.390

4.  Spatio-spectral filters for low-density surface electromyographic signal classification.

Authors:  Gan Huang; Zhiguo Zhang; Dingguo Zhang; Xiangyang Zhu
Journal:  Med Biol Eng Comput       Date:  2013-02-06       Impact factor: 2.602

5.  Improving the accuracy of Laplacian estimation with novel multipolar concentric ring electrodes.

Authors:  Oleksandr Makeyev; Quan Ding; Walter G Besio
Journal:  Measurement (Lond)       Date:  2016-02-01       Impact factor: 3.927

6.  Reliability of a portable device for the detection of sleep bruxism.

Authors:  Andrea Deregibus; Tommaso Castroflorio; Andrea Bargellini; Cesare Debernardi
Journal:  Clin Oral Investig       Date:  2013-12-28       Impact factor: 3.573

7.  Spatial filtering improves EMG classification accuracy following targeted muscle reinnervation.

Authors:  He Huang; Ping Zhou; Guanglin Li; Todd Kuiken
Journal:  Ann Biomed Eng       Date:  2009-06-13       Impact factor: 3.934

8.  Core Muscle Activation in Suspension Training Exercises.

Authors:  Giovanni Cugliari; Gennaro Boccia
Journal:  J Hum Kinet       Date:  2017-03-15       Impact factor: 2.193

9.  Evaluation of Swallowing Related Muscle Activity by Means of Concentric Ring Electrodes.

Authors:  J Garcia-Casado; G Prats-Boluda; Y Ye-Lin; S Restrepo-Agudelo; E Perez-Giraldo; A Orozco-Duque
Journal:  Sensors (Basel)       Date:  2020-09-15       Impact factor: 3.576

10.  Improving the Accuracy of Laplacian Estimation with Novel Variable Inter-Ring Distances Concentric Ring Electrodes.

Authors:  Oleksandr Makeyev; Walter G Besio
Journal:  Sensors (Basel)       Date:  2016-06-10       Impact factor: 3.576

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.