Tampere University of Technology

TUTCRIS Research Portal

Suppressing Functional Electrical Stimulation Artifact from Facial Surface EMG Measurements

Research output: Other conference contributionPaper, poster or abstractScientific

Standard

Suppressing Functional Electrical Stimulation Artifact from Facial Surface EMG Measurements. / Rantanen, Ville; Vehkaoja, Antti; Verho, Jarmo.

2016. Paper presented at BioMediTech Research Day 2016, Tampere, Finland.

Research output: Other conference contributionPaper, poster or abstractScientific

Harvard

Rantanen, V, Vehkaoja, A & Verho, J 2016, 'Suppressing Functional Electrical Stimulation Artifact from Facial Surface EMG Measurements' Paper presented at BioMediTech Research Day 2016, Tampere, Finland, 25/11/16, .

APA

Rantanen, V., Vehkaoja, A., & Verho, J. (2016). Suppressing Functional Electrical Stimulation Artifact from Facial Surface EMG Measurements. Paper presented at BioMediTech Research Day 2016, Tampere, Finland.

Vancouver

Rantanen V, Vehkaoja A, Verho J. Suppressing Functional Electrical Stimulation Artifact from Facial Surface EMG Measurements. 2016. Paper presented at BioMediTech Research Day 2016, Tampere, Finland.

Author

Rantanen, Ville ; Vehkaoja, Antti ; Verho, Jarmo. / Suppressing Functional Electrical Stimulation Artifact from Facial Surface EMG Measurements. Paper presented at BioMediTech Research Day 2016, Tampere, Finland.

Bibtex - Download

@conference{2dbde04b230c45db980c0bd2f5001081,
title = "Suppressing Functional Electrical Stimulation Artifact from Facial Surface EMG Measurements",
abstract = "Methods for suppressing the electrical artifact that functional electrical stimulation introduces to surface electromyography (EMG) measurements are demonstrated. The methods are targeted for facial pacing for people who suffer from unilateral facial paralysis. The pacing includes the measurement of EMG signals from the healthy side of the face as a control signal to simultaneously activate the paralysed side with functional electrical stimulation.Facial EMG signals typically have amplitudes up to a few hundreds of microvolts. The activation of facial muscles with functional electrical stimulation may require stimulation voltages that are more than 10^6 times larger. When electrical stimulation is fed to the paralysed one side of the face, the introduced voltage will also couple to the EMG measurements on the healthy side. This coupling is called the stimulation artifact. In the worst case, the EMG measurement inputs will saturate leaving it impossible to correctly detect facial muscle activations and their activation intensities. Additionally, the stimulation artifact may be erroneously detected as a muscle activation.The presented methods for suppressing the stimulation artifact from EMG measurements include filtering implemented in the hardware and software, manipulating the stimulation waveform to help removing it with filtering, and sample-and-hold functionality implemented in the hardware of the EMG signal measurement chain to prevent amplifier saturation and to allow faster recovery from the artifacts. The methods are demonstrated with experimental results.",
keywords = "electromyography, facial pacing, functional electrical stimulation, prosthetic technology, stimulation artifact, unilateral facial paralysis",
author = "Ville Rantanen and Antti Vehkaoja and Jarmo Verho",
year = "2016",
month = "11",
day = "25",
language = "English",
note = "BioMediTech Research Day 2016 ; Conference date: 25-11-2016",

}

RIS (suitable for import to EndNote) - Download

TY - CONF

T1 - Suppressing Functional Electrical Stimulation Artifact from Facial Surface EMG Measurements

AU - Rantanen, Ville

AU - Vehkaoja, Antti

AU - Verho, Jarmo

PY - 2016/11/25

Y1 - 2016/11/25

N2 - Methods for suppressing the electrical artifact that functional electrical stimulation introduces to surface electromyography (EMG) measurements are demonstrated. The methods are targeted for facial pacing for people who suffer from unilateral facial paralysis. The pacing includes the measurement of EMG signals from the healthy side of the face as a control signal to simultaneously activate the paralysed side with functional electrical stimulation.Facial EMG signals typically have amplitudes up to a few hundreds of microvolts. The activation of facial muscles with functional electrical stimulation may require stimulation voltages that are more than 10^6 times larger. When electrical stimulation is fed to the paralysed one side of the face, the introduced voltage will also couple to the EMG measurements on the healthy side. This coupling is called the stimulation artifact. In the worst case, the EMG measurement inputs will saturate leaving it impossible to correctly detect facial muscle activations and their activation intensities. Additionally, the stimulation artifact may be erroneously detected as a muscle activation.The presented methods for suppressing the stimulation artifact from EMG measurements include filtering implemented in the hardware and software, manipulating the stimulation waveform to help removing it with filtering, and sample-and-hold functionality implemented in the hardware of the EMG signal measurement chain to prevent amplifier saturation and to allow faster recovery from the artifacts. The methods are demonstrated with experimental results.

AB - Methods for suppressing the electrical artifact that functional electrical stimulation introduces to surface electromyography (EMG) measurements are demonstrated. The methods are targeted for facial pacing for people who suffer from unilateral facial paralysis. The pacing includes the measurement of EMG signals from the healthy side of the face as a control signal to simultaneously activate the paralysed side with functional electrical stimulation.Facial EMG signals typically have amplitudes up to a few hundreds of microvolts. The activation of facial muscles with functional electrical stimulation may require stimulation voltages that are more than 10^6 times larger. When electrical stimulation is fed to the paralysed one side of the face, the introduced voltage will also couple to the EMG measurements on the healthy side. This coupling is called the stimulation artifact. In the worst case, the EMG measurement inputs will saturate leaving it impossible to correctly detect facial muscle activations and their activation intensities. Additionally, the stimulation artifact may be erroneously detected as a muscle activation.The presented methods for suppressing the stimulation artifact from EMG measurements include filtering implemented in the hardware and software, manipulating the stimulation waveform to help removing it with filtering, and sample-and-hold functionality implemented in the hardware of the EMG signal measurement chain to prevent amplifier saturation and to allow faster recovery from the artifacts. The methods are demonstrated with experimental results.

KW - electromyography

KW - facial pacing

KW - functional electrical stimulation

KW - prosthetic technology

KW - stimulation artifact

KW - unilateral facial paralysis

M3 - Paper, poster or abstract

ER -