Characterizing the complexity of spontaneous motor unit patterns of amyotrophic lateral sclerosis using approximate entropy

Journal of Neural Engineering

Volumn 8, Issue 6, 2011, Pages

  Zhou, Ping ^a,b   Barkhaus, Paul E ^c   Zhang, Xu ^a   Rymer, William Zev ^a,b  

^a REHABILITATION INSTITUTE OF CHICAGO   (United States)

^b NORTHWESTERN UNIVERSITY   (United States)

^c CLEMENT J ZABLOCKI VETERANS AFFAIRS MEDICAL CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AMYOTROPHIC LATERAL SCLEROSIS; APPROXIMATE ENTROPY; DYNAMIC CHANGES; FIRING RATES; HIGH FREQUENCY HF; HIGH-DENSITY; INTER-SPIKE INTERVAL; LINEAR METHODS; MOTOR UNIT; MOTOR UNIT ACTION POTENTIALS; NOVEL APPLICATIONS; SLIDING WINDOW; SLIDING-WINDOW ANALYSIS; SURFACE ELECTROMYOGRAPHY; TRACKING VARIATION;

ELECTROMYOGRAPHY; ELECTROPHYSIOLOGY; ENTROPY;

NEURODEGENERATIVE DISEASES;

ADULT; AMYOTROPHIC LATERAL SCLEROSIS; APPROXIMATE ENTROPY; ARTICLE; CALCULATION; CLINICAL ARTICLE; CONTROLLED STUDY; ELECTROMYOGRAPHY; ENTROPY; FEMALE; HUMAN; MALE; MOTOR UNIT POTENTIAL; PRIORITY JOURNAL; SPIKE WAVE; SPONTANEOUS MOTOR UNIT POTENTIAL; THENAR; ACTION POTENTIAL; INSTRUMENTATION; METHODOLOGY; MICROELECTRODE; MIDDLE AGED; NEUROPHYSIOLOGICAL RECRUITMENT; PATHOPHYSIOLOGY; PHYSIOLOGY;

ACTION POTENTIALS; ADULT; AMYOTROPHIC LATERAL SCLEROSIS; ELECTROMYOGRAPHY; ENTROPY; FEMALE; HUMANS; MALE; MICROELECTRODES; MIDDLE AGED; RECRUITMENT, NEUROPHYSIOLOGICAL;

EID: 81855203203     PISSN: 17412560     EISSN: 17412552     Source Type: Journal    
DOI: 10.1088/1741-2560/8/6/066010     Document Type: Article

References (46)

1. Ahmad S A and Chappell P H 2009 Surface EMG pattern analysis of the wrist muscles at different speeds of contraction J. Med. Eng. Technol. 33 37685
2. Akkurt D, Akay Y M and Akay M 2009 Nicotine and elevated body temperature reduce the complexity of the genioglossus and diaphragm EMG signals in rats during early maturation J. Neural Eng. 6 056004
3. Barkhaus P E and Nandedkar S D 1994 Recording characteristics of the surface EMG electrodes Muscle Nerve 17 1317-23 (Pubitemid 24328903)
4. Brooks B R 1994 El Escorial World Federation of Neurology criteria for the diagnosis of amyotrophic lateral sclerosis. Subcommittee on Motor Neuron Diseases/Amyotrophic Lateral Sclerosis of the World Federation of Neurology Research Group on Neuromuscular Diseases and the El Escorial 'Clinical limits of amyotrophic lateral sclerosis' workshop contributors J. Neurol. Sci. 124 Suppl 96-107
5. Cavanaugh J T, Guskiewicz K M and Stergiou N 2005 A nonlinear dynamic approach for evaluating postural control: new directions for the management of sport-related cerebral concussion Sports Med. 35 935-50 (Pubitemid 41606571)
6. Chen L, Luo W, Deng Y, Wang Z and Zeng S 2009 Characterizing the complexity of spontaneous electrical signals in cultured neuronal networks using approximate entropy IEEE Trans. Inf. Technol. Biomed. 13 405-10
7. Dragomir A, Akay Y, Curran A K and Akay M 2008a Investigating the complexity of respiratory patterns during the laryngeal chemoreflex J. Neuroeng. Rehabil. 5 17
8. Dragomir A, Akay Y, Curran A K and Akay M 2008b Complexity measures of the central respiratory networks during wakefulness and sleep J. Neural Eng. 5 254-61 (Pubitemid 351999191)
9. Drost G, Kleine B U, Stegeman D F, van Engelen B G and Zwarts M J 2007 Fasciculation potentials in high-density surface EMG J. Clin. Neurophysiol. 24 301-7 (Pubitemid 46871881)
10. Farina D, Negro F, Gazzoni M and Enoka RM 2008 Detecting the unique representation of motor-unit action potentials in the surface electromyogram J. Neurophysiol. 100 1223-33
11. Freriks B, Hermens H, Disselhorst-Klug C and Rau G 1999 The recommendations for sensors and sensor placement procedures for surface electromyogram European Recommendations for Surface Electromyography (SENIAM) ed H Hermens, B Freriks, D Stegeman, J Blok, G Rau, C Disselhorst-Klug and G Hagg (Enschede: Roessingh Research and Development)
12. Godin D T, Parker PA and Scott R N 1991 Noise characteristics of stainless-steel surface electrodes Med. Biol. Eng. Comput. 29 585-90
13. Ho K K, Moody G B, Peng C K, Mietus J E, Larson M G, Levy D and Goldberger A L 1997 Predicting survival in heart failure case and control subjects by use of fully automated methods for deriving nonlinear and conventional indices of heart rate dynamics Circulation 96 842-8 (Pubitemid 27329618)
14. Howard R S and Murray N M 1992 Surface EMG in the recording of fasciculations Muscle Nerve 15 1240-5
15. Kallenberg L A and Hermens H J 2006 Behaviour of motor unit action potential rate, estimated from surface EMG, as a measure of muscle activation level J. Neuroeng. Rehabil. 3 15
16. Kallenberg L A and Hermens H J 2008 Behaviour of a surface EMG based measure for motor control: motor unit action potential rate in relation to force and muscle fatigue J. Electromyogr. Kinesiol. 18 780-8
17. Kaplan D T, Furman M I, Pincus S M, Ryan S M, Lipsitz L A and Goldberger A L 1991 Aging and the complexity of cardiovascular dynamics Biophys. J. 59 945-9
18. Kleine B U, Stegeman D F, Schelhaas H J and Zwarts M J 2008 Firing pattern of fasciculations in ALS: evidence for axonal and neuronal origin Neurology 70 353-9 (Pubitemid 351653397)
19. Kleine B U, van Dijk J P, Lapatki B G, Zwarts M J and Stegeman D F 2007 Using two-dimensional spatial information in decomposition of surface EMG signals J. Electromyogr. Kinesiol. 17 535-48 (Pubitemid 47188042)
20. Lapatki B G, van Dijk J P, Jonas I E, Zwarts M J and Stegeman D F 2004 A thin, flexible multielectrode grid for high-density surface EMG J. Appl. Physiol. 96 327-36 (Pubitemid 38032017)
21. Liang L Y, Chen J J J, Wang Y L, Jakubiec M, Mierzejewska J and Piotrkiewicz M 2010 Changes in spinal motoneuron 'fastness' in post-stroke spastic patients J. Med. Biol. Eng. 30 17-22
22. Li T M, Day S J, Alberman E and Swash M 1986 Differential diagnosis of motoneurone disease from other neurological conditions Lancet 2 731-3 (Pubitemid 16022221)
23. Merletti R, Botter A, Troiano A, Merlo E and Minetto M A 2009 Technology and instrumentation for detection and conditioning of the surface electromyographic signal: state of the art J. Clin. Biomech. 24 122-34
24. Mottram C J, Wallace C L, Chikando C N and Rymer W Z 2010 Origins of spontaneous firing of motor units in the spastic-paretic biceps brachii muscle of stroke survivors J. Neurophysiol 104 3168-79
25. Ostlund N, Gerdle B and Stefan Karlsson J 2007 Location of innervation zone determined with multichannel surface electromyography using an optical flow technique J. Electromyogr. Kinesiol. 17 549-55 (Pubitemid 47188037)
26. Perkiömäki J S, Mäkikallio T H and Huikuri H V 2005 Fractal and complexity measures of heart rate variability Clin Exp. Hypertens. 27 149-58 (Pubitemid 40478342)
27. Pincus S M 1991 Approximate entropy as a measure of system complexity Proc. Natl Acad. Sci. USA 88 2297-301 (Pubitemid 21916403)
28. Pincus S M 2001 Assessing serial irregularity and its implications for health Ann. New York Acad. Sci. 954 245-67 (Pubitemid 34048924)
29. Pincus S M 2006 Approximate entropy as a measure of irregularity for psychiatric serial metrics Bipolar. Disord. 8 430-40 (Pubitemid 44560217)
30. Pincus S M and Goldberger A L 1994 Physiological time-series analysis: what does regularity quantify? Am. J. Physiol. 266 H1643-56 (Pubitemid 24150798)
31. Pincus S M and Minkin M J 1998 Assessing sequential irregularity of both endocrine and heart rate rhythms Curr. Opin. Obstet. Gynecol. 10 281-91 (Pubitemid 28368706)
32. Piotrkiewicz M and Hausmanowa-Petrusewicz I 2011 Motoneuron afterhyperpolarisation duration in amyotrophic lateral sclerosis J. Physiol. 589 2745-54
33. Piotrkiewicz M, Kudina L, Mierzejewska J and Hausmanowa-Petrusewicz I 2008 Analysis of double discharges in amyotrophic lateral sclerosis Muscle Nerve 38 845-54 (Pubitemid 351915318)
34. Pozzo M, Bottin A, Ferrabone R and Merletti R 2004 Sixty-four channel wearable acquisition system for long-term surface electromyogram recording with electrode arrays Med. Biol. Eng. Comput. 42 455-66 (Pubitemid 39173107)
35. Rau G, Schulte E and Disselhorst-Klug C 2004 From cell to movement: to what answers does EMG really contribute? J. Electromyogr. Kinesiol. 14 611-7 (Pubitemid 39061152)
36. Rose W and Knight C A 2011 Spectral analysis of point processes: motor unit activity and heart rate analysis Med. Sci. Sports Exerc. 43 239-48
37. Shannon C E and Weaver W 1963 The Mathematical Theory of Communication (Urbana, IL: University of Illinois Press)
38. Sun T Y, Lin T S and Chen J J 1999 Multielectrode surface EMG for noninvasive estimation of motor unit size Muscle Nerve 22 1063-70
39. Swash M 2000 Shortening the time to diagnosis in ALS: the role of electrodiagnostic studies Amyotroph. Lateral Scler. Other Motor Neuron Disord. 1 Suppl 1 S67-72
40. Xie H B, Guo J Y and Zheng Y P 2010 Fuzzy approximate entropy analysis of chaotic and natural complex systems: detecting muscle fatigue using electromyography signals Ann. Biomed. Eng. 38 1483-96
41. Zhou P, Lowery M M, Englehart K B, Huang H, Li G, Hargrove L, Dewald J P and Kuiken T A 2007 Decoding a new neural machine interface for control of artificial limbs J. Neurophysiol. 98 2974-82 (Pubitemid 350127955)
42. Zhou P and Rymer W Z 2004a MUAP number estimates in surface EMG: template-matching methods and their performance boundaries Ann. Biomed. Eng. 32 1007-15
43. Zhou P and Rymer W Z 2004b An evaluation of the utility and limitations of counting motor unit action potentials in the surface electromyogram J. Neural Eng. 1 238-45 (Pubitemid 41079658)
44. Zhou P and Rymer 2004c Factors governing the form of the relation between muscle force and the electromyogram (EMG): a simulation study J. Neurophysiol. 92 2878-86
45. Zijdewind I and Thomas C K 2001 Spontaneous motor unit behavior in human thenar muscles after spinal cord injury Muscle Nerve 24 952-62 (Pubitemid 32549980)
46. Zwarts M J and Stegeman D F 2003 Multichannel surface EMG: basic aspects and clinical utility Muscle Nerve 28 1-17 (Pubitemid 36775954)