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Precision magnetic field modelling and control for wearable magnetoencephalography

Molly Rea, Niall Holmes, Ryan M. Hill, Elena Boto, James Leggett, Lucy J. Edwards, David Woolger, Eliot Dawson, Vishal Shah, James Osborne, Richard Bowtell, Matthew J. Brookes
2021 NeuroImage  
for magnetoencephalography (MEG).  ...  compared to a model to derive coefficients representing three uniform magnetic field components and five magnetic field gradient components inside the passive shield.  ...  Leuven, Belgium, for providing the paradigm used here in the MEG demonstration.  ... 
doi:10.1016/j.neuroimage.2021.118401 pmid:34273527 pmcid:PMC9248349 fatcat:al54hwdqxvforcwhu3d4ud75aq

Magnetoencephalography with optically pumped magnetometers (OPM-MEG): the next generation of functional neuroimaging

Matthew J. Brookes, James Leggett, Molly Rea, Ryan M. Hill, Niall Holmes, Elena Boto, Richard Bowtell
2022 Trends in Neurosciences  
Magnetoencephalography (MEG) measures human brain function via assessment of the magnetic fields generated by electrical activity in neurons.  ...  We discuss the current state of this emerging technique and describe its far-reaching implications for neuroscience.  ...  Acknowledgments We acknowledge a Healthcare Impact Grant (EP/V047264/1) and the UK Quantum Technology Hub in Sensing and Timing (EP/T001046/1), both funded by the UK Engineering and Physical Sciences Research  ... 
doi:10.1016/j.tins.2022.05.008 pmid:35779970 fatcat:u45dp45cdzfblmzhduozknqsgm

Whole-Head Magnetoencephalogram and Its Application in Developmental Communication Disorders Research: A Review

Aimin Liang, Huanqi Wu, Yuyu Ma, Xiaoyu Liang, Yifan Jia, Yang Gao, Xiaolin Ning, Jiancheng Fang
2021 IEEE Access  
Progress on multimodality research and total-field wearable SERF magnetometers offers insight into the neuropsychological substrates of communication disorders.  ...  An ultralow magnetic field produced by neural electrical activity can be detected using a highly sensitive whole-head magnetometer array.  ...  gradient field and the dynamic change of the magnetic field.  ... 
doi:10.1109/access.2021.3063054 fatcat:g6kxmogxgvbzhp5ydc3m7fytyy

Naturalistic hyperscanning with wearable magnetoencephalography [article]

Niall Holmes, Molly Rea, Ryan M Hill, Elena Boto, Andrew Stuart, James Leggett, Lucy J Edwards, Natalie Rhodes, Vishal Shah, James Osborne, T Mark Fromhold, Paul M Glover (+3 others)
2021 bioRxiv   pre-print
This approach exploits quantum sensors for MEG signal detection, in combination with high-fidelity magnetic field control – afforded by a novel "matrix coil" system – to enable simultaneous scanning of  ...  Here, we solve this problem by developing a new form of hyperscanning using wearable magnetoencephalography (MEG).  ...  We also thank Magnetic Shields Limited who designed and constructed our OPM-optimised magnetically shielded room. This work was supported by the UK Quantum Technology Hub in Sensing  ... 
doi:10.1101/2021.09.07.459124 fatcat:vepuponbizavrlj3hfaxyvhckm

Cognitive neuroscience using wearable magnetometer arrays: Non-invasive assessment of language function

Tim M. Tierney, Niall Holmes, Sofie S. Meyer, Elena Boto, Gillian Roberts, James Leggett, Sarah Buck, Leonardo Duque-Muñoz, Vladimir Litvak, Sven Bestmann, Torsten Baldeweg, Richard Bowtell (+2 others)
2018 NeuroImage  
A B S T R A C T Recent work has demonstrated that Optically Pumped Magnetometers (OPMs) can be utilised to create a wearable Magnetoencephalography (MEG) system that is motion robust.  ...  This is the first study of human cognition using OPMs and not only highlights this technology's utility as tool for (developmental) cognitive neuroscience but also its potential to contribute to surgical  ...  Acknowledgements This work was supported by a Wellcome collaborative award to GRB, MJB and RB (203257/Z/16/Z, 203257/B/16/Z  ... 
doi:10.1016/j.neuroimage.2018.07.035 pmid:30016678 pmcid:PMC6150946 fatcat:pzxcix6p3jgp5jrmjtdxpudxam

Shape Memory Actuators for Medical Rehabilitation and Neuroscience [chapter]

Simone Pittaccio, Stefano Viscuso
2012 Smart Actuation and Sensing Systems - Recent Advances and Future Challenges  
Pizzella and Gabriella Tamburro for the MEG measurements, Cosimo Del Gratta, Antonio Ferretti and Mauro Gianni Perrucci for the fMRI trials.  ...  Acknowledgement The authors would like to thank the staff of ITAB, University of Chieti, where the tests employing MEG and fMRI were conducted: in particular Gian Luca Romani, Filippo Zappasodi, Vittorio  ...  and diagnostic devices: magnetic resonance imaging (MRI, fMRI), magnetoencephalography (MEG), and the like).  ... 
doi:10.5772/50201 fatcat:2jpbxd277rcsbclyzw3ftrhnuq

Updating Dynamic Noise Models With Moving Magnetoencephalographic (MEG) Systems

Jose David Lopez, Tim M. Tierney, Angela Sucerquia, Felipe Valencia, Niall Holmes, Stephanie Mellor, Gillian Roberts, Ryan M. Hill, Richard Bowtell, Matthew J. Brookes, Gareth R. Barnes
2019 IEEE Access  
One way to achieve this is to predict (and compensate for) the changes in the ambient magnetic field as the subject moves through the room.  ...  INDEX TERMS Magnetoencephalography, Kalman filter, magnetic sensors, noise cancellation, magnetic noise, magnetometers, magnetic field measurement, optically pumped magnetometers.  ...  The end goal is for a wearable system that can be used to estimate and update a model of the sources of magnetic noise in the environment.  ... 
doi:10.1109/access.2019.2891162 fatcat:ftyzejccrbf3rgqc2qhuztad2u

Towards magnetoencephalography in a virtual reality environment

Gillian Roberts, Niall Holmes, Nicholas Alexander, Elena Boto, James Leggett, Ryan M. Hill, Vishal Shah, Molly Rea, Richard Vaughan, Eleanor A. Maguire, Klaus Kessler, Shaun Beebe (+4 others)
2019 NeuroImage  
Lightweight OPMs, coupled with precise control of the background magnetic field, enables participant movement during data acquisition.  ...  We show that, despite increased magnetic interference from the VRHMD, we were able to measure modulation of alpha-band oscillations, and the visual evoked field.  ...  Imaging EPSRC and MRC Centre for Doctoral Training.  ... 
doi:10.1016/j.neuroimage.2019.06.010 pmid:31173906 fatcat:nofowk6xnrd5ffjthyny4cw4jm

Machine Learning's Application in Deep Brain Stimulation for Parkinson's Disease: A Review

Jeremy Watts, Anahita Khojandi, Oleg Shylo, Ritesh A. Ramdhani
2020 Brain Sciences  
For each category, we provide and contextualize the current body of research and discuss potential future directions for the application of ML in DBS.  ...  and Electronics Engineers' (IEEE) Xplore Digital Library for ML applications in DBS.  ...  Yohanandan and colleagues [36] used wearable sensors with RF models and predicted tremor severity following the Bain-Findley tremor rating scale (BTRS) with 81% accuracy for use in telemedicine.  ... 
doi:10.3390/brainsci10110809 pmid:33139614 fatcat:kv2zp2zfgrhl3pckhwxvzmcv3u

Technological Approaches for Neurorehabilitation: From Robotic Devices to Brain Stimulation and Beyond

Marianna Semprini, Matteo Laffranchi, Vittorio Sanguineti, Laura Avanzino, Roberto De Icco, Lorenzo De Michieli, Michela Chiappalone
2018 Frontiers in Neurology  
As pointed out in the recent literature, by combining traditional rehabilitation techniques with neuromodulation, biofeedback recordings and/or novel robotic and wearable assistive devices, several studies  ...  In this perspective, we will review the above methods by referring to the most recent advances in each field.  ...  Several modalities have been used for brain signal acquisition (61), which include electroencephalography (EEG) (62), magnetoencephalography (MEG) (63), functional magnetic resonance imaging (64) , and  ... 
doi:10.3389/fneur.2018.00212 pmid:29686644 pmcid:PMC5900382 fatcat:vnujnugzj5h27mwfgxtgvci46y

Biosensors for Epilepsy Management: State-of-Art and Future Aspects

Shivani Tiwari, Varsha Sharma, Mubarak Mujawar, Yogendra Kumar Mishra, Ajeet Kaushik, Anujit Ghosal
2019 Sensors  
This review will serve as a guide platform to scholars for understanding and planning of future research aiming to develop a smart bio-sensing system to detect and monitor epilepsy for point-of-care (PoC  ...  Excluding the effectiveness of available therapies, the timely detection and monitoring of epilepsy are of utmost priority for early remediation and prevention.  ...  Acknowledgments: All the authors acknowledge their respective institutions for providing facilities. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s19071525 fatcat:h5ils42mkvg33bw4fbg2i35tt4

Table of contents

2021 IEEE Sensors Journal  
Mor, and P. Vaessen 18618 Towards the Non-Zero Field Cesium Magnetic Sensor Array for Magnetoencephalography ....................... ........................... M. V. Petrenko, S. P. Dmitriev, A. S.  ...  Lim 18519 Mechanical Sensors Dynamic Improvement of Hydraulic Excavator Using Pressure Feedback and Gain Scheduled Model Predictive Control .............................................................  ... 
doi:10.1109/jsen.2021.3105015 fatcat:4nrnjq5oundolepn5q23smqvza

Ultrasensitive Magnetic Field Sensors for Biomedical Applications

Dmitry Murzin, Desmond J Mapps, Kateryna Levada, Victor Belyaev, Alexander Omelyanchik, Larissa Panina, Valeria Rodionova
2020 Sensors  
The development of magnetic field sensors for biomedical applications primarily focuses on equivalent magnetic noise reduction or overall design improvement in order to make them smaller and cheaper while  ...  This introductory review focuses on modern magnetic field sensors suitable for biomedicine applications from a physical point of view and provides an overview of recent studies in this field.  ...  The relevant applications included various motion control systems, for example, in mobile telephones [110, 111] .  ... 
doi:10.3390/s20061569 pmid:32168981 pmcid:PMC7146409 fatcat:sivpl2b3ejhvnokk3fprn7vbyi

Affective Gaming: A Comprehensive Survey

Irene Kotsia, Stefanos Zafeiriou, Spiros Fotopoulos
2013 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops  
We proceed with outlining some of the most important problems that have to be tackled in order to create more realistic and efficient interactions between players and games and conclude by highlighting  ...  emotional states and adjust their game plot accordingly, in order to ensure more realistic and satisfactory gameplay experience.  ...  Magnetoencephalography (MEG): measures the brain activity by recording magnetic fields produced by electrical currents occurring naturally in the brain.  ... 
doi:10.1109/cvprw.2013.100 dblp:conf/cvpr/KotsiaZF13 fatcat:z6npdzzsufh2vhz5y7jy3wdw2m

Trends and Challenges of Wearable Multimodal Technologies for Stroke Risk Prediction

Yun-Hsuan Chen, Mohamad Sawan
2021 Sensors  
Expected prediction has to be dynamically delivered with high-precision outcomes. There is a need for stroke risk stratification and management to reduce the resulting social and economic burden.  ...  It was found that the most user-friendly wearables can have limitations in reporting high-precision prediction outcomes.  ...  influenced by food intake is the part which can be controlled and monitored by wearable devices.  ... 
doi:10.3390/s21020460 pmid:33440697 fatcat:2nyokkj5cvajrbmuopjrlzvjzy
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