Motor Unit Innervation Zone Localization Based on Robust Linear Regression Analysis

Overview

Journal Comput Biol Med

Publisher Elsevier

Specialties Biology
General Medicine
Medical Informatics

Date 2019 Jan 27

PMID 30684784

Citations 2

Authors

Jie Liu

Sheng Li

Faezeh Jahanmiri-Nezhad

William Zev Rymer

Ping Zhou

Affiliations

Soon will be listed here.

Abstract

With the aim of developing a flexible and reliable procedure for superficial muscle innervation zone (IZ) localization, we proposed a method to estimate IZ location using surface electromyogram (EMG) based on robust linear regression. Regression lines were used to model the bidirectional propagation pattern of a single motor unit action potential (MUAP) and visualize the trajectory of the MUAP propagation. IZ localization was performed by identifying the origin of the bidirectional MUAP propagation. Robust linear regression and MUAP peak detection, combined with propagation phase reversal identification, may provide an efficient way to estimate IZ location. Our method offers high resolution in locating IZs based on simulation studies and experimental tests. Furthermore, our method is flexible and may also be applied using a relatively small number of EMG channels. A comparative study of the proposed method with the cross-correlation method for IZ localization was conducted. The results obtained with simulated MUAPs and measured spontaneous MUAPs in the biceps brachii muscle in six subjects (four males and two females, 57 ± 10 years old) with amyotrophic lateral sclerosis (ALS). Our method achieved estimation performance comparable to that obtained by using the cross-correlation method but with higher resolution. This study provides an accurate and practical method to estimate IZ location.

Citing Articles

Muscle innervation zone estimation from monopolar high-density M-waves using principal component analysis and radon transform.

Huang C, Lu Z, Chen M, Klein C, Zhang Y, Li S Front Physiol. 2023; 14:1137146.

PMID: 37008017 PMC: 10050562. DOI: 10.3389/fphys.2023.1137146.

Neurophysiological Factors Affecting Muscle Innervation Zone Estimation Using Surface EMG: A Simulation Study.

Huang C, Chen M, Li X, Zhang Y, Li S, Zhou P Biosensors (Basel). 2021; 11(10).

PMID: 34677312 PMC: 8534086. DOI: 10.3390/bios11100356.

References

Merletti R, Holobar A, Farina D . Analysis of motor units with high-density surface electromyography. J Electromyogr Kinesiol. 2008; 18(6):879-90. DOI: 10.1016/j.jelekin.2008.09.002. View

Lapatki B, van Dijk J, Jonas I, Zwarts M, Stegeman D . A thin, flexible multielectrode grid for high-density surface EMG. J Appl Physiol (1985). 2003; 96(1):327-36. DOI: 10.1152/japplphysiol.00521.2003. View

Merletti R, Botter A, Troiano A, Merlo E, Minetto M . Technology and instrumentation for detection and conditioning of the surface electromyographic signal: state of the art. Clin Biomech (Bristol). 2008; 24(2):122-34. DOI: 10.1016/j.clinbiomech.2008.08.006. View

Liu Y, Ning Y, Li S, Zhou P, Rymer W, Zhang Y . Three-Dimensional Innervation Zone Imaging from Multi-Channel Surface EMG Recordings. Int J Neural Syst. 2015; 25(6):1550024. PMC: 5519820. DOI: 10.1142/S0129065715500240. View

Farina D, Merletti R, Indino B, Nazzaro M, Pozzo M . Surface EMG crosstalk between knee extensor muscles: experimental and model results. Muscle Nerve. 2002; 26(5):681-95. DOI: 10.1002/mus.10256. View

Brooks B, Miller R, Swash M, Munsat T . El Escorial revisited: revised criteria for the diagnosis of amyotrophic lateral sclerosis. Amyotroph Lateral Scler Other Motor Neuron Disord. 2001; 1(5):293-9. DOI: 10.1080/146608200300079536. View

McGill K, Lateva Z, Xiao S . A model of the muscle action potential for describing the leading edge, terminal wave, and slow afterwave. IEEE Trans Biomed Eng. 2002; 48(12):1357-65. DOI: 10.1109/10.966595. View

Gonzalez-Cueto J, Parker P . Deconvolution estimation of nerve conduction velocity distribution. IEEE Trans Biomed Eng. 2002; 49(2):140-51. DOI: 10.1109/10.979353. View

Moon J, Hwang T, Sim S, Chun S, Kim M . Surface mapping of motor points in biceps brachii muscle. Ann Rehabil Med. 2012; 36(2):187-96. PMC: 3358674. DOI: 10.5535/arm.2012.36.2.187. View

10.

Van Campenhout A, Molenaers G . Localization of the motor endplate zone in human skeletal muscles of the lower limb: anatomical guidelines for injection with botulinum toxin. Dev Med Child Neurol. 2010; 53(2):108-19. DOI: 10.1111/j.1469-8749.2010.03816.x. View

11.

Liu J, Li S, Li X, Klein C, Rymer W, Zhou P . Suppression of stimulus artifact contaminating electrically evoked electromyography. NeuroRehabilitation. 2014; 34(2):381-9. PMC: 4000584. DOI: 10.3233/NRE-131045. View

12.

Ostlund N, Gerdle B, Karlsson J . Location of innervation zone determined with multichannel surface electromyography using an optical flow technique. J Electromyogr Kinesiol. 2006; 17(5):549-55. DOI: 10.1016/j.jelekin.2006.06.002. View

13.

Saitou K, Masuda T, Michikami D, Kojima R, Okada M . Innervation zones of the upper and lower limb muscles estimated by using multichannel surface EMG. J Hum Ergol (Tokyo). 2003; 29(1-2):35-52. View

14.

Merletti R, Farina D, Gazzoni M . The linear electrode array: a useful tool with many applications. J Electromyogr Kinesiol. 2002; 13(1):37-47. DOI: 10.1016/s1050-6411(02)00082-2. View

15.

Mesin L, Gazzoni M, Merletti R . Automatic localisation of innervation zones: a simulation study of the external anal sphincter. J Electromyogr Kinesiol. 2009; 19(6):e413-21. DOI: 10.1016/j.jelekin.2009.02.002. View

16.

Pozzo M, Bottin A, Ferrabone R, Merletti R . Sixty-four channel wearable acquisition system for long-term surface electromyogram recording with electrode arrays. Med Biol Eng Comput. 2004; 42(4):455-66. DOI: 10.1007/BF02350986. View

17.

Zwarts M, Stegeman D . Multichannel surface EMG: basic aspects and clinical utility. Muscle Nerve. 2003; 28(1):1-17. DOI: 10.1002/mus.10358. View

18.

Farina D, Cescon C, Merletti R . Influence of anatomical, physical, and detection-system parameters on surface EMG. Biol Cybern. 2002; 86(6):445-56. DOI: 10.1007/s00422-002-0309-2. View

19.

Merletti R, Farina D, Granata A . Non-invasive assessment of motor unit properties with linear electrode arrays. Electroencephalogr Clin Neurophysiol Suppl. 2000; 50:293-300. View

20.

Masuda T, Sadoyama T . Distribution of innervation zones in the human biceps brachii. J Electromyogr Kinesiol. 2010; 1(2):107-15. DOI: 10.1016/1050-6411(91)90004-O. View