Detection of onset and termination of muscle activity in surface electromyograms

Abbink,; Bilt, Andries van der; Glas, Van Der

doi:10.1046/j.1365-2842.1998.00242.x

Cited by 65 publications

(49 citation statements)

References 8 publications

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“…Having the lowest RMS value and its standard deviation will be defined the reference value to differentiate the resting state and the activity muscular state 14 . The reference value was used equal to 3σ (where σ is the standard deviation of the window of 200ms).…”

Section: Discussionmentioning

confidence: 99%

Alterações no controle motor mandibular e cervical de crianças com paralisia cerebral

2014

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Objetivo: analisar a atividade elétrica dos músculos Temporal e Masseter e o padrão de postura e movimento de cabeça e mandíbula de crianças com Paralisia Cerebral (PC).Métodos: a amostra deste estudo compreendeu 32 voluntários com PC espástica e com Desenvolvimento Típico, com a faixa etária de 7 a 13 anos de idade, caracterizados com base na Classificação de Angle e Critério de Diagnóstico para Pesquisa das Disfunções Temporomandibulares (RDC/TMD). De forma simultânea, foram avaliadas a postura e movimentação da cabeça e mandíbula e a atividade elétrica dos músculos Temporal e Masseter por meio da cinemática e eletromiografia.Resultados: a PC não foi associada a presença de DTM ou com a alteração da oclusão dentária. No grupo PC, foi observada maior assimetria do músculo temporal (p<0.05), maior extensão da cabeça na máxima abertura da boca (p<0.05), maior amplitude de extensão da cabeça (p<0.01) e maior amplitude de projeção anterior da cabeça (p<0.05).Conclusão: a maior assimetria na atividade muscular, a maior extensão e projeção anterior da cabeça durante o ciclo mastigatório podem ser causas das desordens da função motora oral das crianças com PC.

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Section: Discussionmentioning

confidence: 99%

Alterações no controle motor mandibular e cervical de crianças com paralisia cerebral

2014

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“…We selected the activation detection algorithm after an evaluation study of some of the available algorithms. We compared six different algorithms, namely, Hodges and Bui [36], Bonato et al [19], Lidierth [37], Abbink et al [38], and approximated generalized likelihood ratio (AGLR) step and AGLR ramp [39].…”

Section: Electromyographic Systemmentioning

confidence: 99%

Optimizing interoperability between video-oculographic and electromyographic systems

Navallas

Ariz²,

Villanueva³

et al. 2011

JRRD

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Abstract-A new system is presented that enhances the interoperability between a video-oculographic (VOG) system for mouse movement control and an electromyographic (EMG) system for mouse click detection. The proposed VOG-EMG system combines gaze and muscle information to minimize the number of undesired clicks due to involuntary activations and environmental noise. We tested the system with 24 subjects, comparing three different configurations: one in which the VOG and EMG systems worked independently and two in which we used VOG gaze information to improve the EMG click detection. Results show that the number of false-positive click detections can be reduced when VOG and EMG information is combined. In addition, the third configuration, including extra processing, can reduce the activation delay produced because of the combined use of the VOG and EMG systems. The new VOG-EMG system is meant to be used in noisy environments in which the number of false clicks may impeach a reliable human-computer interaction.

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“…SEMG is also useful in the analyses of movement disorders in which prolonged recordings must be pain-free and interfere minimally with the clinical phenomenology. 69 Rhythmic EMG signals containing bursts of activity, as in chewing, [70][71][72] walking, 22,[73][74][75] and breathing, [76][77][78][79][80][81] can be analyzed using SEMG and automated burst detection methods. These have an advantage in that large amounts of SEMG data can be processed easily and objectively.…”

Section: Kinesiology and Disorders Of Motor Controlmentioning

confidence: 99%

“…These have an advantage in that large amounts of SEMG data can be processed easily and objectively. 71 Multiple cycles of movement may be recorded and averaged patterns of muscle activation and joint movements determined. Psychophysical measurements, such as movement and reaction time analysis, 38,[44][45][46][47][48] requiring precise timing of muscle contraction onset benefit from SEMG as a noninvasive tool for this purpose.…”

Section: Kinesiology and Disorders Of Motor Controlmentioning

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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Detection of onset and termination of muscle activity in surface electromyograms

Cited by 65 publications

References 8 publications

Alterações no controle motor mandibular e cervical de crianças com paralisia cerebral

Alterações no controle motor mandibular e cervical de crianças com paralisia cerebral

Optimizing interoperability between video-oculographic and electromyographic systems

Clinical utility of surface EMG [RETIRED]

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