The synthesis of EMG signals based on considerations of signal spectra

Paul Gammans; Sheng-feng Qin; David Wright

The synthesis of EMG signals based on considerations of signal spectra

Paul Gammans, Sheng-feng Qin, David Wright

Design Department

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

In this paper we investigate the effect on the spectra of an EMG signal due to changes in the parameters, which control motor unit (MU) firing sequences. To enable this analysis we start by developing a computer-based model of the motor unit activation potential (MUAP) to enable the generation of artificial surface electromyography (EMG) signals. By adjusting the parameters used in the generation of the synthetic EMG we can investigate the effect of a single parametric change on the resultant spectrum. The parameters and range of values we investigated were determined after a literature review. The synthetic EMGs are compared to actual EMG signals collected from the biceps muscle of males subjects aged between 18 to 32 years all without any known neuromuscular disease, disabilities or injuries to the elbow joint.

Original language	English
Pages (from-to)	187-192
Journal	Biomedical Sciences Instrumentation
Volume	39
Publication status	Published - 2003

Cite this

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title = "The synthesis of EMG signals based on considerations of signal spectra",

abstract = "In this paper we investigate the effect on the spectra of an EMG signal due to changes in the parameters, which control motor unit (MU) firing sequences. To enable this analysis we start by developing a computer-based model of the motor unit activation potential (MUAP) to enable the generation of artificial surface electromyography (EMG) signals. By adjusting the parameters used in the generation of the synthetic EMG we can investigate the effect of a single parametric change on the resultant spectrum. The parameters and range of values we investigated were determined after a literature review. The synthetic EMGs are compared to actual EMG signals collected from the biceps muscle of males subjects aged between 18 to 32 years all without any known neuromuscular disease, disabilities or injuries to the elbow joint.",

author = "Paul Gammans and Sheng-feng Qin and David Wright",

note = "This paper was presented at the 40th Annual Rocky Mountain Bioengineering Symposium & 40th International ISA Biomedical Sciences Instrumentation Symposium at Biloxi, Mississippi, 10-13 April 2003.",

year = "2003",

language = "English",

volume = "39",

pages = "187--192",

journal = "Biomedical Sciences Instrumentation",

issn = "0067-8856",

publisher = "ISA - Instrumentation, Systems, and Automation Society",

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TY - JOUR

T1 - The synthesis of EMG signals based on considerations of signal spectra

AU - Gammans, Paul

AU - Qin, Sheng-feng

AU - Wright, David

N1 - This paper was presented at the 40th Annual Rocky Mountain Bioengineering Symposium & 40th International ISA Biomedical Sciences Instrumentation Symposium at Biloxi, Mississippi, 10-13 April 2003.

PY - 2003

Y1 - 2003

N2 - In this paper we investigate the effect on the spectra of an EMG signal due to changes in the parameters, which control motor unit (MU) firing sequences. To enable this analysis we start by developing a computer-based model of the motor unit activation potential (MUAP) to enable the generation of artificial surface electromyography (EMG) signals. By adjusting the parameters used in the generation of the synthetic EMG we can investigate the effect of a single parametric change on the resultant spectrum. The parameters and range of values we investigated were determined after a literature review. The synthetic EMGs are compared to actual EMG signals collected from the biceps muscle of males subjects aged between 18 to 32 years all without any known neuromuscular disease, disabilities or injuries to the elbow joint.

AB - In this paper we investigate the effect on the spectra of an EMG signal due to changes in the parameters, which control motor unit (MU) firing sequences. To enable this analysis we start by developing a computer-based model of the motor unit activation potential (MUAP) to enable the generation of artificial surface electromyography (EMG) signals. By adjusting the parameters used in the generation of the synthetic EMG we can investigate the effect of a single parametric change on the resultant spectrum. The parameters and range of values we investigated were determined after a literature review. The synthetic EMGs are compared to actual EMG signals collected from the biceps muscle of males subjects aged between 18 to 32 years all without any known neuromuscular disease, disabilities or injuries to the elbow joint.

M3 - Article

SN - 0067-8856

VL - 39

SP - 187

EP - 192

JO - Biomedical Sciences Instrumentation

JF - Biomedical Sciences Instrumentation

ER -

The synthesis of EMG signals based on considerations of signal spectra

Abstract

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