Multi-channel whole-head OPM-MEG: Helmet design and a comparison with a conventional system

© 2020 The Authors Magnetoencephalography (MEG) is a powerful technique for functional neuroimaging, offering a non-invasive window on brain electrophysiology. MEG systems have traditionally been based on cryogenic sensors which detect the small extracranial magnetic fields generated by synchronised current in neuronal assemblies, however, such systems have fundamental limitations. In recent years, non-cryogenic quantum-enabled sensors, called optically-pumped magnetometers (OPMs), in combination with novel techniques for accurate background magnetic field control, have promised to lift those restrictions offering an adaptable, motion-robust MEG system, with improved data quality, at reduced cost. However, OPM-MEG remains a nascent technology, and whilst viable systems exist, most employ small numbers of sensors sited above targeted brain regions. Here, building on previous work, we construct a wearable OPM-MEG system with ‘whole-head’ coverage based upon commercially available OPMs, and test its capabilities to measure alpha, beta and gamma oscillations. We design two methods for OPM mounting; a flexible (EEG-like) cap and rigid (additively-manufactured) helmet. Whilst both designs allow for high quality data to be collected, we argue that the rigid helmet offers a more robust option with significant advantages for reconstruction of field data into 3D images of changes in neuronal current. Using repeat measurements in two participants, we show signal detection for our device to be highly robust. Moreover, via application of source-space modelling, we show that, despite having 5 times fewer sensors, our system exhibits comparable performance to an established cryogenic MEG device. While significant challenges still remain, these developments provide further evidence that OPM-MEG is likely to facilitate a step change for functional neuroimaging

Idiopathic abdominal aortic dissection causing aortoiliac occlusive disease in a teenage boy

Abdominal aortic dissection (AAD) is very rare in the pediatric population in the absence of trauma, connective tissue disease, or infection. Our patient presented with an AAD causing aortoiliac occlusive disease (AIOD) and left popliteal arterial disease which is not described in the pediatric population. Presentation of the AIOD was classic in our pediatric patient though a distracting history of strained calf muscle during a sporting event delayed diagnosis by several months. Once the diagnosis was established, the interesting problem of managing this disease was met with possible risks of other vascular disease or even other organ disease. Further imaging and a genetic evaluation did not elucidate an etiology for our patient, only a suspicion. Post-surgical intervention was met with symptom resolution but warranted careful surveillance and follow-up in clinic by both genetics and vascular surgery. Keywords: Pediatric, Abdominal aortic dissection, Peripheral vascular diseas

Evaluación del impacto ambiental de dos envolventes de edificios educativos mediante análisis de ciclo de vida

El Análisis de Ciclo de Vida (ACV), es un proceso para evaluar las cargas ambientales asociadas a un producto, proceso o actividad, identificando y cuantificando el uso de materia y energía así como los residuos generados. El presente artículo tiene como objetivo, la aplicación de la metodología del ACV en el sector de la construcción, mediante un ejercicio comparativo de infraestructura educativa, con el cual se ejemplifica su uso en la construcción y muestra sus ventajas y beneficios.Peer ReviewedPostprint (published version

Evaluación del impacto ambiental de dos envolventes de edificios educativos mediante análisis de ciclo de vida

El Análisis de Ciclo de Vida (ACV), es un proceso para evaluar las cargas ambientales asociadas a un producto, proceso o actividad, identificando y cuantificando el uso de materia y energía así como los residuos generados. El presente artículo tiene como objetivo, la aplicación de la metodología del ACV en el sector de la construcción, mediante un ejercicio comparativo de infraestructura educativa, con el cual se ejemplifica su uso en la construcción y muestra sus ventajas y beneficios.Peer Reviewe

An Ecosystem for E-Learning in Mechatronics: The CLEM Project

This paper describes some results of the FP7 CLEM project, Cloud E-learning for Mechatronics. An interesting development has been the creation of remote laboratories in the cloud. Learners can access such laboratories to help with their practical learning about mechatronics without need to set up laboratories at their own institutions. On the other hand the cloud infrastructure enables multiple laboratories to come together virtually to create an ecosystem for educators and learners. From such a system, educators can pick and mix materials to create suitable courses for their students. This means that learners can experience different types of devices and laboratories through the cloud. The paper provides an overview of the CLEM project, presenting results so far. In addition to the remote laboratories set up using a Raspberry Pi and Arduino microprocessor structure, this paper also presents information on the results of a survey and the development of static learning material. It also explains how a holistic e-learning experience can be obtained through use of static and dynamic material together with facilities for collaboration and innovation

Evaluación del impacto ambiental de dos envolventes de edificios educativos mediante análisis de ciclo de vida

El Análisis de Ciclo de Vida (ACV), es un proceso para evaluar las cargas ambientales asociadas a un producto, proceso o actividad, identificando y cuantificando el uso de materia y energía así como los residuos generados. El presente artículo tiene como objetivo, la aplicación de la metodología del ACV en el sector de la construcción, mediante un ejercicio comparativo de infraestructura educativa, con el cual se ejemplifica su uso en la construcción y muestra sus ventajas y beneficios.Peer Reviewe