Diagnostic yield of noninvasive high spatial resolution electromyography in neuromuscular diseases

Huppertz, Hans‐Jürgen; Disselhorst‐Klug, Catherine; Silny, Jiri; Rau, G.; Heimann, G.

doi:10.1002/(sici)1097-4598(199711)20:11<1360::aid-mus3>3.0.co;2-8

Cited by 70 publications

(49 citation statements)

References 20 publications

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“…Altogether seven parameters have been used for the validation of the typical differences in the HSR-EMG pattern of healthy volunteers, patients with muscular disorders and patients with neuronal disorders. The parameters can be divided into three groups regarding the excitation spread, the entire signal course in time as well as the shape of isolated peaks within the signal [Huppertz 1997]. Most of the parameters are well established in the field of signal processing and data analysis.…”

Section: Quantitative Evaluation Of Pathological Changes In the Hsr-emgmentioning

confidence: 99%

“… Between the peak maximum and the adjacent minima the signal has to be continuous increasing respectively decreasing.  The signal part identified as a peak is limited by the first crossing of the baseline before the minimum left to the peak maximum and by the first zero crossing of the baseline after the minimum right to the peak maximum In initial investigations it has been shown that two parameters are sufficient to characterise the changes in the HSR-EMG pattern [Huppertz 1997]. These parameters are the slope of the peak (S) and the peak amplitude frequency distribution (PAFD).…”

Section: Parameters Regarding the Isolated Peaksmentioning

confidence: 99%

“…Afterwards, the median value of each parameter has been used, accounting for the typical HSR-EMG pattern. Some of the parameters, such as the conduction velocity in single MUs depend significantly on the age of the investigated child [Huppertz 1997]. Those parameters have been normalised to an age of eight.…”

Section: Clinical Validationmentioning

confidence: 99%

See 2 more Smart Citations

Non-Invasive Diagnosis of Neuromuscular Disorders by High-Spatial-Resolution-EMG

Disselhorst‐Klug¹

2012

EMG Methods for Evaluating Muscle and Nerve Function

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Section: Quantitative Evaluation Of Pathological Changes In the Hsr-emgmentioning

confidence: 99%

Section: Parameters Regarding the Isolated Peaksmentioning

confidence: 99%

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Non-Invasive Diagnosis of Neuromuscular Disorders by High-Spatial-Resolution-EMG

Disselhorst‐Klug¹

2012

EMG Methods for Evaluating Muscle and Nerve Function

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“…Whilst cardiac imaging arrays can be relatively easily incorporated into a vest for chest mounting, the need to detect muscle activity in locations such as the jaw, for the assessment of swallowing (McKeown et al, 2002), or on curved limb surfaces is more challenging. A high density two-dimensional surface EMG array has been implemented using dry electrodes but in a very bulky system with uncomfortable, and somewhat painful, pointed electrodes (Blok et al, 2002(Blok et al, , 2006Huppertz et al, 1997;Rau & Disselhorst-Klug, 1997). Ideally, the array should be flexible and easily positioned and recent work has shown great progress in this direction.…”

Section: High Density and Flexible Electrode Arraysmentioning

confidence: 99%

Sensor Developments for Electrophysiological Monitoring in Healthcare

Prance¹

2011

Applied Biomedical Engineering

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“…The results were compared with those of available recognition rates by NEMG and incorporated into a computerized evaluation procedure that combined and weighted different parameters to optimize the recognition rate of diagnosis. 13 Again, NEMG was superior to SEMG by these measures. A few studies directly compared SEMG to NEMG to examine muscle fiber conduction velocity (MFCV), but in none were attempts made to ascertain the best methodology using unbiased approaches or double-blind crossover techniques.…”

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confidence: 99%

Clinical utility of surface EMG [RETIRED]

et al. 2000

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This report reviews the clinical uses of surface electromyography (SEMG) as a diagnostic tool for neurologic disorders. SEMG is assessed with regard to the evaluation of patients with neuromuscular diseases, low back pain, and disorders of motor control. This broadens the scope of a previous assessment of SEMG in neurologic practice by the American Association of Electrodiagnostic Medicine 1 in which its utility was examined with regard to neuromuscular diseases only.Needle electromyographic evaluation (NEMG), in combination with nerve conduction studies, is the gold standard methodology for assessing the neurophysiologic characteristics of neuromuscular diseases. Moreover, fine-wire EMG (FWEMG) often has been used in the evaluation of gait disorders, kinesiologic studies, and research and is also considered a standard. Nevertheless, NEMG and FWEMG are both invasive and painful, and this limits their use when activity from several muscles needs to be monitored simultaneously.SEMG is a technique to measure muscle activity noninvasively using surface electrodes placed on the skin overlying the muscle. SEMG differs from NEMG and FWEMG with respect to technical requirements and electrical properties. Unlike NEMG, SEMG electrodes record from a wide area of muscle territory, have a relatively narrow frequency band (range, 20 to 500 Hz), have low-signal resolution, and are highly susceptible to movement artifact. SEMG electrodes typically are approximately 10 mm in diameter and usually are passive (i.e., they are simple conductive surfaces requiring low skin resistance). They can, however, be active, incorporating preamplifier electronics that lessen the need for low skin resistance and improve the signal-to-noise ratio. SEMG can record both voluntary and involuntary muscle activity in addition to externally stimulated muscle action potentials such as motor evoked potentials after central or peripheral nerve stimulation.2 SEMG has also been used in several non-neurologic settings such as obstetric monitoring and animal research, but these potential applications are beyond the scope of this review.More than 2500 original articles, reviews, and books were examined to determine the scope of SEMG utility, its benefits and risks, and the extent to which SEMG techniques vary, and to assess SEMG's strengths and weaknesses for specific clinical applications. Manual and computerized literature searches from the National Library of Medicine were used to obtain the articles. Key words used included SEMG, spontaneous activity, fasciculation, myopathy, muscle fiber conduction, motor unit estimation, fatigue, low-back pain, tremor, movement disorders, reaction time, and psychophysics. Representative articles are cited and listed at the end of this article. Other key words relating to neuromuscular diseases (other than when cross-referenced with SEMG) were not searched for specifically because this topic was the focus of the earlier AAEM assessment 1 and was not the main focus of the current paper. Neuromuscular diseases.No original ...

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Diagnostic yield of noninvasive high spatial resolution electromyography in neuromuscular diseases

Cited by 70 publications

References 20 publications

Non-Invasive Diagnosis of Neuromuscular Disorders by High-Spatial-Resolution-EMG

Non-Invasive Diagnosis of Neuromuscular Disorders by High-Spatial-Resolution-EMG

Sensor Developments for Electrophysiological Monitoring in Healthcare

Clinical utility of surface EMG [RETIRED]

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