Hendrik Wöhrle, Johannes Teiwes, M. M. Krell, E. Kirchner, F. Kirchner
{"title":"A Dataflow-based Mobile Brain Reading System on Chip with Supervised Online Calibration - For Usage without Acquisition of Training Data","authors":"Hendrik Wöhrle, Johannes Teiwes, M. M. Krell, E. Kirchner, F. Kirchner","doi":"10.5220/0004637800460053","DOIUrl":"https://doi.org/10.5220/0004637800460053","url":null,"abstract":"Brain activity is more and more used for innovative applications like Brain Computer Interfaces (BCIs). However, in order to be able to use the brain activity, the related psychophysiological data has to be processed and analyzed with sophisticated signal processing and machine learning methods. Usually these methods have to be calibrated with subject-specific data before they can be used. Since future systems that implement these methods need to be portable to be applied more flexible tight constraints regarding size, power consumption and computing time have to be met. Field Programmable Gate Arrays (FPGAs) are a promising solution, which are able to meet all the constraints at the same time. Here, we present an FPGA-based mobile system for signal processing and classification. In addition to other systems, it is able to be calibrated and adapt at runtime, which makes the acquisition of training data unnecessary.","PeriodicalId":167011,"journal":{"name":"International Congress on Neurotechnology, Electronics and Informatics","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124890873","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Humanoids Meet Rehabilitation - Concept and Potential","authors":"D. Torricelli, José Luis Pons Rovira","doi":"10.5220/0004645102130217","DOIUrl":"https://doi.org/10.5220/0004645102130217","url":null,"abstract":"The development of humanoids is receiving attention in the bioengineering and health care communities, due to the high potential of bio-inspired robotics to serve as test bed of motor control theories. To this aim, Neurorobotics is gaining relevance as a way to translate the biological principles into “intelligent” machines. The result of this process is twofold: i) validating the biomechanical and neural control principles found in humans, and ii) developing more effective rehabilitation devices and strategies. In this paper, some of the main challenges of this process will be presented, with particular emphasis on the implications in diagnostic and rehabilitation of walking. As a first step in this direction, the European project H2R aims at developing a humanoid that includes the most relevant biological principles of human locomotion and posture. This new neurorobot is expected to result in a versatile test bed of future neurorehabilitation","PeriodicalId":167011,"journal":{"name":"International Congress on Neurotechnology, Electronics and Informatics","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132846918","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Serious Game Application using EEG-based Brain Computer Interface","authors":"Francisco J. Perales López, E. Amengual","doi":"10.5220/0004678102490255","DOIUrl":"https://doi.org/10.5220/0004678102490255","url":null,"abstract":"Serious games have demonstrated their effectiveness as a therapeutic resource to deal with motor, sensory and cognitive disabilities. In this article we consider Brain Computer Interfaces (BCI) as a new interaction mechanism that could be used in serious games to improve their rehabilitation activity thanks to the ability of neurofeedback to stimulate the cortical plasticity. We present the brief state-of-the-art of BCI serious games and the factors to be considered in order to develop this particular kind of software that could be highly complex and require experts with different knowledge and skills. We propose a new approach based on the detection of focus features in the game activity. We introduce a system able to assess the Alpha band variations in particular game tasks. Our initial target users are children with cerebral palsy and motor disabilities. The system is currently under evaluation with control users before to be operated with the target users in rehabilitation centers.","PeriodicalId":167011,"journal":{"name":"International Congress on Neurotechnology, Electronics and Informatics","volume":"190 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123012560","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Blau, F. Callaly, Seamus Cawley, Aedan Coffey, A. Mauro, Gorka Epelde, L. Ferrara, F. Krewer, C. Liberale, Pedro Machado, G. Maclair, T. McGinnity, F. Morgan, A. Mujika, A. Petrushin, Gautier Robin, J. Wade
{"title":"Exploring Neural Principles with Si elegans, a Neuromimetic Representation of the Nematode Caenorhabditis elegans","authors":"A. Blau, F. Callaly, Seamus Cawley, Aedan Coffey, A. Mauro, Gorka Epelde, L. Ferrara, F. Krewer, C. Liberale, Pedro Machado, G. Maclair, T. McGinnity, F. Morgan, A. Mujika, A. Petrushin, Gautier Robin, J. Wade","doi":"10.5220/0005190701890194","DOIUrl":"https://doi.org/10.5220/0005190701890194","url":null,"abstract":"Biological neural systems are powerful, robust and highly adaptive computational entities that outperformconventional computers in almost all aspects of sensory-motor integration. Despite dramatic progress ininformation technology, there is a big performance discrepancy between artificial computational systemsand brains in seemingly simple orientation and navigation tasks. In fact, no system exists that can faithfullyreproduce the rich behavioural repertoire of the tiny worm Caenorhabditis elegans which features one of thesimplest nervous systems in nature made of 302 neurons and about 8000 connections. The Si elegans projectaims at providing this missing link. This article is sketching out the main platform components.","PeriodicalId":167011,"journal":{"name":"International Congress on Neurotechnology, Electronics and Informatics","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128803367","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Si elegans - Computational Modelling of C. elegans Nematode Nervous System using FPGAs","authors":"Pedro Machado, J. Wade, T. McGinnity","doi":"10.5220/0005169301690176","DOIUrl":"https://doi.org/10.5220/0005169301690176","url":null,"abstract":"It has long been the goal of computational neuroscientists to understand and harness the parallelcomputational power of the mammalian nervous system. However, the vast complexity of such a nervoussystem has made it very difficult to fully understand even the most basic of functions such as movement andlearning and accordingly there has been increasing attention paid to the development of emulations ofsimpler systems. One such system is the C. elegans nematode, which has been widely studied in recentyears and there now exists a vast wealth of biological knowledge about its nervous structure, function andconnectivity. The Si elegans EU FP7 project aims to develop a Hardware Neural Network (HNN) toaccurately replicate the C. elegans nervous system behaviour to enable neuroscientists to better understandthese basic functions. To fully replicate the C. elegans biological system requires powerful computingtechnologies, based on parallel processing, for real-time computation and therefore will use FieldProgrammable Gate Arrays (FPGAs) to achieve this. In this paper an overview of the complete hardwaresystem required to fully realise Si elegans is presented along with an early small scale implementation of thehardware system.","PeriodicalId":167011,"journal":{"name":"International Congress on Neurotechnology, Electronics and Informatics","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127855093","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Clemotte, Miguel A. Velasco, D. Torricelli, R. Raya, R. Ceres
{"title":"Accuracy and Precision of the Tobii X2-30 Eye-tracking under Non Ideal Conditions","authors":"A. Clemotte, Miguel A. Velasco, D. Torricelli, R. Raya, R. Ceres","doi":"10.5220/0005094201110116","DOIUrl":"https://doi.org/10.5220/0005094201110116","url":null,"abstract":"This document describes a methodology for the measurement of accuracy and precision of a remote eye tracker, the Tobii X2-30, under non ideal condition. The test was performed with 10 people. The results are: 2.46 and 1.91 degrees for the accuracy and precision respectively. The results can be used to establish the target size on the screen.","PeriodicalId":167011,"journal":{"name":"International Congress on Neurotechnology, Electronics and Informatics","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122641861","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nicolas Denoyelle, Florian Pouget, T. Viéville, F. Alexandre
{"title":"VirtualEnaction - A Platform for Systemic Neuroscience Simulation","authors":"Nicolas Denoyelle, Florian Pouget, T. Viéville, F. Alexandre","doi":"10.5220/0005166701550163","DOIUrl":"https://doi.org/10.5220/0005166701550163","url":null,"abstract":"Considering the experimental study of systemic models of the brain as a whole (in contrast to models of one brain area or aspect), there is a real need for tools designed to realistically simulate these models and to experiment them. We explain here why a robotic setup is not necessarily the best choice, and what are the general requirements for such a bench-marking platform. A step further, we describe an effective solution, freely available on line and already in use to validate functional models of the brain. This solution is a digital platform where the brainy-bot implementing the model to study is embedded in a simplified but realistic controlled environment. From visual, tactile and olfactory input, to body, arm and eye motor command, in addition to vital somesthetic cues, complex survival behaviors can be experimented. The platform is also complemented with algorithmic high-level cognitive modules, making the job of building biologically plausible bots easier.","PeriodicalId":167011,"journal":{"name":"International Congress on Neurotechnology, Electronics and Informatics","volume":"155 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124698317","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Visualization of a Virtual Caenorhabditis elegans in WebGL","authors":"A. Mujika, Gorka Epelde, A. Mauro, D. Oyarzun","doi":"10.5220/0005168301640168","DOIUrl":"https://doi.org/10.5220/0005168301640168","url":null,"abstract":"This paper presents the work that has been done in Si elegans project in order to visualize the locomotion and the behaviour of a virtual reproduction of the nematode Caenorhabditis elegans, one of the most studied animal in neuroscience. The project aims to develop the first hardware-based computing framework that will accurately mimic this worm. It will enable complex and realistic behaviour to emerge through interaction with a rich and dynamic simulation of a natural or laboratory environment. In order to visualize the physical behaviours that emerge from the neuronal system that has been constructed in the project, a web environment has been designed where the user will be able to define an assay and to run it in a WebGL-based 3D virtual arena. For that a relation has been defined from the physics based simulation (run on the server side) and the simplified web rendering of it.","PeriodicalId":167011,"journal":{"name":"International Congress on Neurotechnology, Electronics and Informatics","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115769907","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Comparison of Neural Networks for Prediction of Sleep Apnea","authors":"Y. Maali, Adel Al-Jumaily","doi":"10.5220/0004701400600064","DOIUrl":"https://doi.org/10.5220/0004701400600064","url":null,"abstract":"Sleep apnea (SA) is the most important and common component of sleep disorders which has several short term and long term side effects on health. There are several studies on automated SA detection but not too much works have been done on SA prediction. This paper discusses the application of artificial neural networks (ANNs) to predict sleep apnea. Three types of neural networks were investigated: Elman, cascadeforward and feed-forward back propagation. We assessed the performance of the models using the Receiver Operating Characteristic (ROC) curve, particularly the area under the ROC curves (AUC), and statistically compare the cross validated estimate of the AUC of different models. Based on the obtained results, generally cascade-forward model results are better with average of AUC around 80%.","PeriodicalId":167011,"journal":{"name":"International Congress on Neurotechnology, Electronics and Informatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114393738","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
G. A. Prieto, F. Barroso, J. Moreno, José Luis Pons Rovira
{"title":"Assessment of the Suitability of the Motorized Ankle-Foot Orthosis as a Diagnostic and Rehabilitation Tool for Gait","authors":"G. A. Prieto, F. Barroso, J. Moreno, José Luis Pons Rovira","doi":"10.5220/0004652101610166","DOIUrl":"https://doi.org/10.5220/0004652101610166","url":null,"abstract":"A unilateral powered exoskeleton (Motorized ankle-foot orthosis, MAFO) is presented in this work, with the aim of studying muscle and kinematics short-term adaptations of the ankle during rehabilitation tasks. For this purpose, we conducted this study during gait over a treadmill, measuring surface electromyography activation and biomechanical data, in different conditions of assistance. This pilot study also aims to demonstrate that the tool is suitable for measuring biomechanical data while allowing EMG measurements, proving it as a useful tool during gait assessment and rehabilitation. Gastrocnemius Medialis activation presents slightly higher amplitude with higher assistances, so the subjects performed a higher range of motion gait pattern. Tibialis Anterior EMG activation presents consistent data with previous studies. Ankle angle at lower assistances makes the robot force less the subject to reach the imposed gait pattern, and so the range of motion diminishes. Regarding ankle angular velocity, at higher assistances, higher velocities are reached. The torque between the subjects foot and the robot. For lower assistances, the imposed reference pattern is less restrictive, and so the force the user exerts against the robot is lower.","PeriodicalId":167011,"journal":{"name":"International Congress on Neurotechnology, Electronics and Informatics","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122469495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}