An MEG compatible system for measuring skin conductance responses

Styliadis, Charis; Papadelis, Christos; Konstantinidis, Evdokimos I.; Ioannides, Andreas A.; Bamidis, Panagiotis D.

doi:10.1016/j.jneumeth.2012.09.026

Cited by 2 publications

(3 citation statements)

References 30 publications

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“…Alternatively, carbon can be used instead of metal for both the wires and the electrodes because this material not only reduces polarization, but can also make the electrodes radiotranslucent, and magnetic resonance imaging (MRI)-compatible [3]. Some groups have developed instrumentation capable of collecting EDA measurements that is compatible with magnetic technologies, aiming to enable the simultaneous measurement of central and peripheral nervous activity [28,29]. For example, a device meant to avoid the mutual interference effect between magnetic resonance and EDA devices was developed in Lim et al [28].…”

Section: Advances In Technologies For Eda Data Collectionmentioning

confidence: 99%

“…They used carbon electrodes instead of Ag/AgCl electrodes to minimize the induced noise. Another group developed a low-cost system for recording EDA from humans in a magnetically shielded room simultaneously with magnetoencephalography [29]. The group used Ag/AgCl electrodes in a "sensors' plate" used to immobilize participants' distal sites of the fingers.…”

Section: Advances In Technologies For Eda Data Collectionmentioning

confidence: 99%

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Innovations in Electrodermal Activity Data Collection and Signal Processing: A Systematic Review

Posada-Quintero

Chon

2020

Sensors

284

191

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The electrodermal activity (EDA) signal is an electrical manifestation of the sympathetic innervation of the sweat glands. EDA has a history in psychophysiological (including emotional or cognitive stress) research since 1879, but it was not until recent years that researchers began using EDA for pathophysiological applications like the assessment of fatigue, pain, sleepiness, exercise recovery, diagnosis of epilepsy, neuropathies, depression, and so forth. The advent of new devices and applications for EDA has increased the development of novel signal processing techniques, creating a growing pool of measures derived mathematically from the EDA. For many years, simply computing the mean of EDA values over a period was used to assess arousal. Much later, researchers found that EDA contains information not only in the slow changes (tonic component) that the mean value represents, but also in the rapid or phasic changes of the signal. The techniques that have ensued have intended to provide a more sophisticated analysis of EDA, beyond the traditional tonic/phasic decomposition of the signal. With many researchers from the social sciences, engineering, medicine, and other areas recently working with EDA, it is timely to summarize and review the recent developments and provide an updated and synthesized framework for all researchers interested in incorporating EDA into their research.

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Section: Advances In Technologies For Eda Data Collectionmentioning

confidence: 99%

Section: Advances In Technologies For Eda Data Collectionmentioning

confidence: 99%

Innovations in Electrodermal Activity Data Collection and Signal Processing: A Systematic Review

Posada-Quintero

Chon

2020

Sensors

284

191

View full text Add to dashboard Cite

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“…With researchers moving to higher-field scanners, there is no guarantee that electronic equipment, which was compatible with a 1.5 T scanner, will be compatible with a 3 T or 7 T scanner due to the scanner's increased field strength, higher resonant frequency, and the need for increased field homogeneity within the bore. Additionally, magnetoencephalography (MEG), another functional neuroimaging technique with finer temporal resolution, is also highly sensitive to similar material and electronic constraints as fMRI [12], [13]. Several MRIcompatible interfaces have utilized optical as opposed to electronic sensing, as the former does not affect image quality at any field intensity [14], [9].…”

Section: A Previous Workmentioning

confidence: 99%

The Design, Implementation, and Testing of a Sensorized MRI-Compatible Cello

Hollinger

Wanderley

2015

IEEE Sensors J.

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The design and testing of optical sensors for a cello compatible with magnetic resonance imaging (MRI) are presented. The interface is used in neuroimaging experiments, allowing for the first time the acquisition of cello performance gestures captured inside the MRI scanner. Left-hand fingering and right-hand bowing gestures were captured with optical sensors embedded in the fingerboard, bridge, and bow. Fingerstring interaction was sensed through diffuse reflection using plastic optical fibres potted in a 3D-printed fingerboard. Acoustic string vibration was sensed through transmissive amplitude modulation of an emitting-receiving fibre pair mounted in a specially designed bridge. Bow position and force was transduced with a combination of optical sensors, including optical flow, macrobending loss under compressive strain, and with a 3axis Faraday rotator. The sensors provided sufficient resolution and dynamic range to measure cello gestures inside the MRI scanner, and no interference from the scanner was noted in the acquired signals. Further MRI compatibility testing confirmed that the interface and sensors had no meaningful effect on field homogeneity and no image artifacts were noted. The interface is currently being used in neuroscience experiments.

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An MEG compatible system for measuring skin conductance responses

Cited by 2 publications

References 30 publications

Innovations in Electrodermal Activity Data Collection and Signal Processing: A Systematic Review

Innovations in Electrodermal Activity Data Collection and Signal Processing: A Systematic Review

The Design, Implementation, and Testing of a Sensorized MRI-Compatible Cello

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