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Diagnostic yield of noninvasive high spatial resolution electromyography in neuromuscular diseases
- Source :
- Musclenerve. 20(11)
- Publication Year :
- 1997
-
Abstract
- High Spatial Resolution electromyography (HSR-EMG), a new kind of noninvasive surface EMG based on a spatial filtering technique, was evaluated with respect to the diagnosis of neuromuscular diseases. HSR-EMG measurements were recorded from 61 healthy subjects and 72 patients with different neuromuscular diseases and analyzed quantitatively. The results indicate that a few parameters such as muscular conduction velocity, dwell time over root mean square, autocorrelation function, and chi-value are sufficient to recognize and classify specific signal alterations due to neuromuscular disorders. A diagnostic evaluation procedure calculating automatically the most probable diagnosis from the parameter results could assign the correct diagnosis to about 81% of the investigated patients and healthy subjects. Myopathic disorders were recognized with a sensitivity of 85% (specificity: 97%), neuropathic disorders with a sensitivity of 68% (specificity: 98%). We conclude that HSR-EMG shows a diagnostic validity similar to that described in literature for needle EMG. Moreover, the noninvasive technique provides the advantage of a simple and painless application.
- Subjects :
- Adult
medicine.medical_specialty
Needle emg
Adolescent
Physiology
Electromyography
Diagnostic evaluation
Sensitivity and Specificity
Nerve conduction velocity
Cellular and Molecular Neuroscience
Muscular Diseases
Physiology (medical)
medicine
High spatial resolution
Humans
Child
medicine.diagnostic_test
business.industry
Healthy subjects
Infant, Newborn
Infant
Neuromuscular Diseases
Probable diagnosis
Surgery
Evaluation Studies as Topic
Child, Preschool
Diagnostic validity
Neurology (clinical)
Radiology
Nervous System Diseases
business
Subjects
Details
- ISSN :
- 0148639X
- Volume :
- 20
- Issue :
- 11
- Database :
- OpenAIRE
- Journal :
- Musclenerve
- Accession number :
- edsair.doi.dedup.....2dd3f123c0d9562074383862eec27592