A. C. Meruelo, Pedro Machado, Kofi Appiah, T. McGinnity
{"title":"Si elegans: A Computational Model of C. elegans Muscle Response to Light","authors":"A. C. Meruelo, Pedro Machado, Kofi Appiah, T. McGinnity","doi":"10.5220/0005712201210126","DOIUrl":"https://doi.org/10.5220/0005712201210126","url":null,"abstract":"It has long been the goal of computational neuroscientists \u0000to understand animal nervous systems, but their \u0000vast complexity has made it very difficult to fully understand even basic functions such as movement. The C. \u0000elegans nematode offers the opportunity to study a fully described connectome and link neural network to behaviour. \u0000In this paper a model of the responses of the body wall \u0000muscle in C. elegans to a random light stimulus is presented. An algorithm has been developed that tracks synapses in the nematode nervous system from the stimulus in the phototaxis sensory neurons to the muscles cells. A linear second order model was used to calculate the isometric force in each of the C. elegans body wall muscle cells. The isometric force calculated resembles that of previous investigations in muscle modelling.","PeriodicalId":167011,"journal":{"name":"International Congress on Neurotechnology, Electronics and Informatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130007387","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}
B. Ballester, Alica Lathe, E. Duarte, A. Duff, P. Verschure
{"title":"A Wearable Bracelet Device for Promoting Arm Use in Stroke Patients","authors":"B. Ballester, Alica Lathe, E. Duarte, A. Duff, P. Verschure","doi":"10.5220/0005662300240031","DOIUrl":"https://doi.org/10.5220/0005662300240031","url":null,"abstract":"After stroke, many patients experience hemiparesis or weakness on one side of the body. In order to compensate for this lack of motor function, they tend to overuse their non-affected limb. This so called learned non-use may be one of the most relevant contributors to functional loss after post-stroke hospital discharge. We hypothesize that frequent exposure to movement related feedback through a wearable bracelet device may 1) increase the patient’s intrinsic motivation for using the paretic limb, and 2) counteract learned non-use, therefore inducing motor recovery. First, to validate the accelerometers-based measurement of arm use, we recruited 10 right-handed volunteers without neurological impairments. Second, we explored the acceptability and clinical impact of a low-cost wearable system on 4 chronic stroke patients with hemiparesis. Our results suggest that frequent exposure to direct feedback about arm use promotes the integration of the paretic limb in the performance of instrumental activities of daily living (iADLs). In addition, results from questionnaires revealed that the use of wearable devices may influence positively the patient’s intrinsic motivation for using the affected arm. To the best of our knowledge, this is the first study suggesting the benefits of wearable-based feedback as an intervention tool for counteracting learned non-use.","PeriodicalId":167011,"journal":{"name":"International Congress on Neurotechnology, Electronics and Informatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130128074","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}
K. Przednowek, J. Iskra, Tomasz Krzeszowski, Karolina H. Przednowek
{"title":"Application of Artificial Neural Models for Planning Sport Training in 110m Hurdles","authors":"K. Przednowek, J. Iskra, Tomasz Krzeszowski, Karolina H. Przednowek","doi":"10.5220/0006499400410046","DOIUrl":"https://doi.org/10.5220/0006499400410046","url":null,"abstract":"","PeriodicalId":167011,"journal":{"name":"International Congress on Neurotechnology, Electronics and Informatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130159001","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":"Predicting Wrist Movement Trajectory from Ipsilesional ECoG in Chronic Stroke Patients","authors":"M. Spüler, W. Rosenstiel, M. Bogdan","doi":"10.5220/0005165200380045","DOIUrl":"https://doi.org/10.5220/0005165200380045","url":null,"abstract":"Recently, there have been several approaches to utilize a Brain-Computer Interface (BCI) for chronic stroke patients. The prediction of movement trajectory based on recorded brain activity could thereby help to improve BCI-guided stroke rehabilitation or could be used for control of an assistive device, like an orthosis or a robotic arm. One problem in predicting movement trajectory in stroke patients are compensatory movements, which make it difficult to link specific brain activity to movement intention. In this paper we compare different methods for trajectory prediction and show how Canonical Correlation Analysis (CCA) can be used to predict movement trajectories. Based on the results, we argue that the resulting trajectory prediction is closer to the actual movement intention. We further show how the transformation matrices obtained by CCA can be interpreted and discuss how this interpretation might be useful to get information regarding compensatory movements in stroke and the underlying patterns of brain activity.","PeriodicalId":167011,"journal":{"name":"International Congress on Neurotechnology, Electronics and Informatics","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132707296","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":"WLAN Interface for a Wireless EEG System","authors":"E. Velarde-Reyes, Francisco Martin-Gonzalez","doi":"10.5220/0005067900890093","DOIUrl":"https://doi.org/10.5220/0005067900890093","url":null,"abstract":"A WLAN interface for a Wireless EEG System is presented in this paper. Selection of broadcasting band, avail-able hardware, and connection algorithm to use are discussed before making a choice. Two alternatives were explored: Wireless EEG Device (Holter) and its Server communicate with each other within the same physical network, and from a complex network like the Internet. Results of experimental tests carried out on the prototype demonstrate the functionality of the implemented interface.","PeriodicalId":167011,"journal":{"name":"International Congress on Neurotechnology, Electronics and Informatics","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133335238","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":"Detrended-Fluctuation-Analysis (DFA) and High-Frequency-Oscillation (HFO) Coefficients and Their Relationship to Epileptic Seizures","authors":"F. Simozo, J. Destro-Filho, L. O. M. Júnior","doi":"10.5220/0005095000990105","DOIUrl":"https://doi.org/10.5220/0005095000990105","url":null,"abstract":"We tested the applicability of methods based on Detrended Fluctuation Analysis and HFO detection to the analysis of EEG signals from patients diagnosed with epilepsy, in order to test how efficient these methods would behave in a seizure prediction application. We were able to statistically distinguish the coefficients estimated in the pre-ictal period from the coefficients obtained on the inter-ictal period, suggesting that the methods can be used to the development of seizure detection algorithms.","PeriodicalId":167011,"journal":{"name":"International Congress on Neurotechnology, Electronics and Informatics","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123042793","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 Biofeedback Control System of the Exoskeleton Trainer for Lower Limbs Motor Function Recovery","authors":"V. Mironov, I. Kastalskiy, S. Lobov, V. Kazantsev","doi":"10.5220/0006584700540059","DOIUrl":"https://doi.org/10.5220/0006584700540059","url":null,"abstract":"","PeriodicalId":167011,"journal":{"name":"International Congress on Neurotechnology, Electronics and Informatics","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131489783","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":"Hysteresis in the Perception of Visual Unity - Confirmation of a Neural Network Model Prediction","authors":"Ian M. Bright, R. Pavloski","doi":"10.5220/0005663300490053","DOIUrl":"https://doi.org/10.5220/0005663300490053","url":null,"abstract":"In response to a simulated retinal image of an object, the recurrent input to a richly connected artificial neural network organizes into a connected open set (COS) of ionic conductance values, which models the continuity and unity of a visual object. As the density of light dots on a dark background increases and then decreases, a COS appears at a density that is higher than that at which it disappears (hysteresis). This experiment tested the hypothesis that humans will show hysteresis similar to that of the simulation. In addition, the effect of dot lightness on the perception of a unified visual object was also tested.","PeriodicalId":167011,"journal":{"name":"International Congress on Neurotechnology, Electronics and Informatics","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126369354","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}
S. Gabrielli, Rosa Maimone, G. Bo, J. Jonsdottir, Wolfhard Klein, Hadas Raz
{"title":"Designing a Game-based Solution for In-home Rehabilitation","authors":"S. Gabrielli, Rosa Maimone, G. Bo, J. Jonsdottir, Wolfhard Klein, Hadas Raz","doi":"10.5220/0005130401450149","DOIUrl":"https://doi.org/10.5220/0005130401450149","url":null,"abstract":"This paper presents initial concepts and formative evaluation results from a research (REHAB@HOME) investigating the patient-centred design of game environments aimed at raising patients’ motivation and compliance with motor-cognitive rehabilitation programs. During the initial phase of the project five games were deployed through main gaming platforms and interaction devices (Kinect, LeapMotion, Sifteo Cubes). A pilot study involving six patients from two different rehabilitation centres (one in Italy and one in Austria) was conducted to assess usability and motivational factors implied in the initial usage of the solutions proposed. From the pilot study results we derive indications to inform the future design of game solutions for raising patients’ compliance with upper body rehabilitation programs.","PeriodicalId":167011,"journal":{"name":"International Congress on Neurotechnology, Electronics and Informatics","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123521294","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}
S. Lobov, N. Krilova, I. Kastalskiy, V. Kazantsev, V. A. Makarov
{"title":"A Human-Computer Interface based on Electromyography Command-Proportional Control","authors":"S. Lobov, N. Krilova, I. Kastalskiy, V. Kazantsev, V. A. Makarov","doi":"10.5220/0006033300570064","DOIUrl":"https://doi.org/10.5220/0006033300570064","url":null,"abstract":"Surface electromyographic (sEMG) signals represent a superposition of the motor unit action potentials that can be recorded by electrodes placed on the skin. Here we explore the use of an easy wearable sEMG bracelet for a remote interaction with a computer by means of hand gestures. We propose a human-computer interface that allows simulating “mouse” clicks by separate gestures and provides proportional control with two degrees of freedom for flexible movement of a cursor on a computer screen. We use an artificial neural network (ANN) for processing sEMG signals and gesture recognition both for mouse clicks and gradual cursor movements. At the beginning the ANN goes through an optimized supervised learning using either rigid or fuzzy class separation. In both cases the learning is fast enough and requires neither special measurement devices nor specific knowledge from the end-user. Thus, the approach enables building of low-budget user-friendly sEMG solutions.","PeriodicalId":167011,"journal":{"name":"International Congress on Neurotechnology, Electronics and Informatics","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129126190","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}