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7 octobre 2019 | Le List développe l’exosquelette EMY pour redonner la mobilité à des patients tétraplégiques

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Pilotage de l’exosquelette 4 membres par le patient dans le cadre du projet BCI mené à Clinatec ©Clinatec


Pour la première fois, un patient tétraplégique a pu se déplacer et contrôler ses deux membres supérieurs grâce à une neuroprothèse, qui recueille, transmet et décode en temps réel les signaux cérébraux pour contrôler un exosquelette réalisé par le CEA List, institut Carnot. Les résultats de l’étude clinique du projet Brain Computer Interface (BCI), réalisée à Clinatec (CEA, CHU Grenoble Alpes) ont été publiés le 4 octobre 2019 dans la revue The Lancet Neurology. Suite à l’opération de presse organisée par le CEA et Clinatec le 7 octobre, de nombreux articles et reportages ont souligné cette avancée pour les patients.

Le défi du List

Pur l’équipe de robotique ExoBCI installée à Grenoble, au plus près des patients, l’exosquelette EMY (Enhanced Mobility) est le fruit de plusieurs années de développement et d’intégration des briques d’actionnement réversible et de contrôle-commande du List. La conception d’EMY a spécifiquement pris en compte l’interaction d’une personne tétraplégique avec l’exosquelette pour pouvoir la mobiliser en toute sécurité. Les outils de conception logicielle du List ont également contribué à ce succès en assurant la sécurité des cartes électroniques utilisées pour le pilotage de l’exosquelette.

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October 3, 2019 | Real-time 3D image reconstruction for non-destructive testing

CND reconstruire images 3d 250A new image reconstruction algorithm that is 30 times faster than the prior state of the art has placed real-time inspection within reach. The algorithm, based on techniques used in medical imaging, was utilized for non-destructive testing (NDT), where it produced 3D images in real time.

In non-destructive testing (NDT) 3D images are usually constructed by post-processing data from ultrasonic probes. And, with processing times from a few minutes up to an hour (depending on the number of voxels in the final 3D image), "real-time" imaging is simply not possible. Researchers at List, a CEA Tech institute, sped image processing up by a factor of 30, effectively eliminating a major obstacle to real-time 3D imaging.

The research, which was for a PhD dissertation, leveraged existing technologies used in medical imaging. They tweaked a space-time Fourier transform algorithm to factor in the unique characteristics of non-destructive testing, such as a variety of waves, the presence of interfaces between the probe and part to inspect, and the reflection of waves off of the interfaces. An initial proof-of-concept confirmed that the algorithm was valid by performing the calculations in parallel on multicore graphics processors. The 3D images obtained presented the same level of quality as those produced using conventional methods—and they took just seconds to process.

The algorithm makes it possible to see the geometry of a defect "live" and in 3D from a single sensor position. Another PhD research project is focusing on speeding up data transfer to the CPUs with the goal of building a prototype real-time 3D imager.

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September 23, 2019 | Better control of patient exposure to radiation during cardiac catheterization

cardiologie reduction dose 250Reference beams used to measure the doses delivered by X-ray imaging equipment used in interventional cardiology have been developed by France's national radiation testing and metrology lab, LNHB.

In interventional cardiology, a doctor inserts a catheter into an artery or vein and directs it toward the area of the heart that requires treatment. During these procedures, the doctor controls his or her movements using real-time X-ray images. Catheterization has become increasingly popular over the past several years. However, until now, there was no available system for accurately measuring the dose delivered to patients undergoing these procedures. LNHB (Laboratoire National Henri Becquerel), which is both France's national radiation testing and metrology lab and a laboratory of CEA Tech institute List, recently filled this gap.

As part of the EU VERIDIC project, LNHB researchers developed four new reference beams covering the energy ranges used in interventional cardiology. The researchers drew on their spectrum characterization know-how, using X-ray generators to produce beams comparable to those generated by the equipment found in hospitals and treatment centers. They then measured the dosage (air kerma) with the primary instruments developed by LNHB.

These new reference beams will be used to calibrate the measurement instruments utilized in clinical settings, providing an accurate assessment of the doses of radiation delivered to patients during cardiac catheterization procedures.

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August 6, 2019 | Augmented non-destructive testing for greater reliability

Realite augmentee pour le CND cea list 250Manual non-destructive testing (NDT) is widely used in industry, and relies heavily on procedures and on the operator's skill level. Real-time monitoring and augmented reality tools were recently developed to assist operators with their NDT tasks.

Making the manual quality control of industrial parts more reliable is a challenge. Using NDT to manually verify the health of a part is complicated for operators, who must use a probe to scan the surface of the part in order to detect the defect typologies that correlate with health. To make this kind of NDT easier for operators, List, a CEA Tech institute, developed a system to track the ultrasonic probe’s position and display context-enhanced information in augmented reality.

Investigations conducted under the FOEHN* project backed by France’s National Research Agency led to the development of an infrared optical system to track the ultrasonic sensor’s position during manual NDT. The system can be installed and configured quickly, and indicates the probe’s position to within less than a millimeter. Special software that guides the operator’s movements was also developed: Augmented reality powers a real-time display of the area covered by the operator so that the operator can immediately adjust his or her movements to align with the established procedure.

Until now, the quality of this type of NDT depended mainly on the operator’s skill level. This advance makes it possible to verify the quality of testing after it is completed. And operators benefit from cognitive assistance so that they can focus their attention on the signals acquired and complete tricky testing, such as on areas of parts that are difficult to access.

Beyond the innovative nature of this new manual-NDT monitoring technology, it will also help evaluate NDT performance, incorporate human factors into simulation tools, and determine the impact of human factors on NDT.

*The FOEHN project, financed by the French National Research Agency (ANR), addresses organizational and human factors in the evaluation of NDT methods. The purpose of the project is to develop methodological tools to render the evaluation of NDT methods more accurate by taking into account all influences, including organizational and human factors. Learn more at:

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July 25, 2019 | Listening to the flows inside pipes to monitor structural health

List canalisations cndA passive non-destructive testing (NDT) method was developed for the inspection of pipes. The sound of the flows inside of the pipes is processed by a purpose-developed tomography algorithm that reconstructs the pipes’ thickness profile.

The active methods used in structural health monitoring (SHM) consist of emitting a wave, and then studying the modifications to the wave when it encounters a defect. Passive methods are different in that they do not require the emission of a wave prior to taking measurements. Researchers at List, a CEA Tech institute, recently developed a method to measure and analyze the waves generated by the flow of a fluid inside a pipe to detect any defects in the pipe.

The solution developed is based on pairs of fiber Bragg grating rings that serve as elastic wave receivers, and offer the advantage of being more robust under extreme conditions (high temperature, radiation, etc.) than the piezoelectric sensors conventionally employed in active SHM methods. The information from the pairs of sensors is processed by a purpose-developed tomography algorithm to reconstruct the pipe-wall thickness profile. The resulting profile can be used to detect, identify, locate, and measure any defects present.

The method was tested and validated on artificial defects and its performance was compared to that of a traditional active method. It was a success! List, that earned the Carnot seal in 2006, is now partnering with French electric utility EDF to investigate how the method can be used in industrial environments. Other applications, such as in aeronautics, are also possible.

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