Optimization and Configuration of SQUID Sensor Arrays for a MEG-MRI System

Burmistrov, E. V.; Matlashov, Andrei; Sandin, Henrik; Schultz, L.; Volegov, P. L.; Espy, Michelle A.

doi:10.1109/tasc.2012.2233835

Cited by 10 publications

(9 citation statements)

References 12 publications

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“…As both MEG and MRI require high sensitive magnetic sensors (e.g. superconducting quantum interference device, SQUID) and a magnetically shielded room (MSR), as well as restriction of subject movement to reduce motion artifacts, these technologies are not suitable for monitoring patients outside of clinical or laboratory settings [34,35]. In contrast, EEG sensors are miniature and lightweight, and can be conveniently worn for continuous sensing at home or outdoors for long duration.…”

Section: Non-invasive Bci Monitoring Technologiesmentioning

confidence: 99%

“…MEG, in particular, primarily records activity of sulcus, in comparison to gyrus, as the current flow is perpendicular to the sensing coils [2,33]. MEG sensors generally employ special type of magnetic sensors, such as SQUID [34,35]. These passive sensors can record weak magnetic field around 10-14 Tesla.…”

Section: Megnatoencephalography (Meg)mentioning

confidence: 99%

“…Two types of MRI technologies are common for brain signal monitoring: functional MRI (fMRI), and diffusion MRI (dMRI) or Diffusion Tensor Imaging (DTI). For fMRI studies, low temporal resolution of the blood-oxygen-level dependent (BOLD) signal is a limiting factor [34,35]. fMRI is an indirect measurement of brain activities as it records increased blood flow in the cortex that represents increased brain activities.…”

Section: Magnetic Resonance Imaging (Mri)mentioning

confidence: 99%

“…Both MEG and MRI technology requires high sensitive magnetic sensors within super conducting shield, hence very heavy for wearing outside of clinical settings [34]. There are many EEG devices that can be used in real-life settings for long duration, however most are visually identifiable and discernible [10].…”

Section: Other Issuesmentioning

confidence: 99%

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A Brief Review of Brain Signal Monitoring Technologies for BCI Applications: Challenges and Prospects

Morshed¹

2014

J Bioeng Biomed Sci

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Significant strides have been made since 1940s for monitoring brain activities and utilizing the information for diagnosis, therapy, and control of robotic instruments including prosthetics. Monitoring brain activities with brain computer interfacing (BCI) technologies are of recent interest to due to the immense potential for various medical applications, particularly for many neurological disorder patients, and the emergence of technologies suitable for long duration BCI applications. Recent initiatives are geared towards transforming these clinic centric technologies to patient centric technologies by monitoring brain activities in practical settings. This paper briefly reviews current status of these technologies and relevant challenges. The technologies can be broadly classified into non-invasive (EEG, MEG, MRI) and invasive (Microelectrode, ECoG, MEA). Challenges to resolve include neuronal damage, neurotrophicity, usability and comfort.

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Section: Non-invasive Bci Monitoring Technologiesmentioning

confidence: 99%

Section: Megnatoencephalography (Meg)mentioning

confidence: 99%

Section: Magnetic Resonance Imaging (Mri)mentioning

confidence: 99%

Section: Other Issuesmentioning

confidence: 99%

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A Brief Review of Brain Signal Monitoring Technologies for BCI Applications: Challenges and Prospects

Morshed¹

2014

J Bioeng Biomed Sci

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“…But the disadvantage of this method is that it needs to optimize the pickup coil. 43 A sensing system is designed to transmit light by using the optical fiber microbend effect. The sensing system is used for breath monitoring and breath gating in MRI environment.…”

Section: The Dry Electrodementioning

confidence: 99%

Development of medical imaging sensors

Feng

Wang

Yang

2020

International Journal of Distributed Sensor Networks

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This review describes sensor technologies for medical imaging. Medical imaging plays an extremely important role in medical imaging, and sensor technology affects the quality of imaging results. By analyzing the research progress of sensors used in various imaging technologies, the result that sensors applied to medical imaging will gradually achieve mutual coupling between various technologies was summed up, such as the coupling of flexible electrodes and dry electrodes, in ultrasound. Photoacoustic technology and thermoacoustic technology based on technology coupled with other technologies. In addition to the coupling between multiple technologies, sensor technology is also moving toward miniaturization, intelligence, and netting.

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