Non-invasive quantitative EMG: invention of the "Clustering Index (CI)" method
There have been few previous studies trying to evaluate neuromuscular disorders using surface electro myography (SEMG). The greatest obstacle to such an approach must be the difficulty in identifying individual motor unit potentials (MUPs) on the SEMG signal under voluntary contraction because of th...
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| Published in | Rinsho Shinkeigaku Vol. 52; no. 11; pp. 1249 - 1251 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | Japanese |
| Published |
Japan
Societas Neurologica Japonica
2012
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0009-918X 1882-0654 |
| DOI | 10.5692/clinicalneurol.52.1249 |
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| Abstract | There have been few previous studies trying to evaluate neuromuscular disorders using surface electro myography (SEMG). The greatest obstacle to such an approach must be the difficulty in identifying individual motor unit potentials (MUPs) on the SEMG signal under voluntary contraction because of their dense overlap. We tried to solve this problem by reducing the overlap of MUPs using appropriate electrode setting, as well as by developing a new method of interference pattern analysis. The tibialis anterior muscle was examined in our first study. A new method to analyse SEMG signal, the Clustering Index (CI) method, achieved 100% and 61% sensitivities for neurogenic and myopathic patients, and 97% specificity for control subjects. In the second study, the abductor digiti minimi muscle was examined. Subjects were 29 spinal and bulbar muscular atrophy patients and 27 controls. The CI method was compared with the motor unit number estimation, and the amplitude of compound muscle action potential. As results, the CI method achieved the best sensitivity and among these three techniques. The CI method is a novel, simple, and quantitative analysis method without using any special equipments, and is promising as a non-invasive complement to needle EMG. |
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| AbstractList | There have been few previous studies trying to evaluate neuromuscular disorders using surface electro myography (SEMG). The greatest obstacle to such an approach must be the difficulty in identifying individual motor unit potentials (MUPs) on the SEMG signal under voluntary contraction because of their dense overlap. We tried to solve this problem by reducing the overlap of MUPs using appropriate electrode setting, as well as by developing a new method of interference pattern analysis. The tibialis anterior muscle was examined in our first study. A new method to analyse SEMG signal, the Clustering Index (CI) method, achieved 100% and 61% sensitivities for neurogenic and myopathic patients, and 97% specificity for control subjects. In the second study, the abductor digiti minimi muscle was examined. Subjects were 29 spinal and bulbar muscular atrophy patients and 27 controls. The CI method was compared with the motor unit number estimation, and the amplitude of compound muscle action potential. As results, the CI method achieved the best sensitivity and among these three techniques. The CI method is a novel, simple, and quantitative analysis method without using any special equipments, and is promising as a non-invasive complement to needle EMG. |
| Author | Uesugi, Haruo Sonoo, Masahiro Saito, Hisatoshi Stalberg, Erik Higashihara, Mana |
| Author_xml | – sequence: 1 fullname: Higashihara, Mana organization: Department of Internal Medicine 3, National Defense Medical College – sequence: 1 fullname: Stalberg, Erik organization: Department of Clinical Neurophysiology, Uppsala University Hospital – sequence: 1 fullname: Uesugi, Haruo organization: Department of Neurology, Sapporo Azabu Neurosurgery Hospital – sequence: 1 fullname: Saito, Hisatoshi organization: Department of Neurosurgery, Sapporo Azabu Neurosurgical Hospital – sequence: 1 fullname: Sonoo, Masahiro organization: Department of Neurology, Teikyo University School of Medicine |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/23196579$$D View this record in MEDLINE/PubMed |
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| References | 1) Pullman SI, Goodin DS, Marquinez AI, et al. Clinical utility of surface EMG; report of the therapeutics and technology assessment subcommittee of the American academy of neurology. Neurology 2000;55:171-177. 6) 園生雅弘, 上杉春雄, 東原真奈ら. 針を刺さない筋電図の可能性:Clustering Index(CI)法について. Annual Review神経 2011;318-327. 3) Nandedkar SD, Nandedkar DS, Barkhaus PE, et al. Motor unit number index (MINX). IEEE Trans Biomed Eng 2005;51:2209-2211. 2) Meekins GD, So Y, Quan D. American association of neuromuscular & electrodiagnostic medicine evidence-baced review: use of surface electromyography in the diagnosis a and study of neuromuscular disorders. Muscle Nerve 2008;38:1219-1224. 5) Uesugi H, Sonoo M, Stalberg E, et al. "Clustering Index method": A new technique for differentiation between neurogenic and myopathic changes using surface EMG. Clin Neurophysiol 2011;1122:1032-1041. 7) Higashihara M, Sonoo M, Yamamoto T, et al. Evaluation of spinal and bulbar muscular atrophy by the clustering index method. Muscle Nerve 2011;44:539-546. 4) Uesugi H, Sonoo M, Stalberg E, et al. A new technique of analyzing surface EMG on voluntary contraction which can differentiate between neurogenic and myopathic changes: a proposal of "Clustering Index". Clin Neurophysiol 2000;111:2343. |
| References_xml | – reference: 5) Uesugi H, Sonoo M, Stalberg E, et al. "Clustering Index method": A new technique for differentiation between neurogenic and myopathic changes using surface EMG. Clin Neurophysiol 2011;1122:1032-1041. – reference: 1) Pullman SI, Goodin DS, Marquinez AI, et al. Clinical utility of surface EMG; report of the therapeutics and technology assessment subcommittee of the American academy of neurology. Neurology 2000;55:171-177. – reference: 2) Meekins GD, So Y, Quan D. American association of neuromuscular & electrodiagnostic medicine evidence-baced review: use of surface electromyography in the diagnosis a and study of neuromuscular disorders. Muscle Nerve 2008;38:1219-1224. – reference: 6) 園生雅弘, 上杉春雄, 東原真奈ら. 針を刺さない筋電図の可能性:Clustering Index(CI)法について. Annual Review神経 2011;318-327. – reference: 7) Higashihara M, Sonoo M, Yamamoto T, et al. Evaluation of spinal and bulbar muscular atrophy by the clustering index method. Muscle Nerve 2011;44:539-546. – reference: 3) Nandedkar SD, Nandedkar DS, Barkhaus PE, et al. Motor unit number index (MINX). IEEE Trans Biomed Eng 2005;51:2209-2211. – reference: 4) Uesugi H, Sonoo M, Stalberg E, et al. A new technique of analyzing surface EMG on voluntary contraction which can differentiate between neurogenic and myopathic changes: a proposal of "Clustering Index". Clin Neurophysiol 2000;111:2343. |
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| Title | Non-invasive quantitative EMG: invention of the "Clustering Index (CI)" method |
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