NEUROTECHNIX 2016 Abstracts


Area 1 - Neural Rehabilitation

Full Papers
Paper Nr: 5
Title:

Classification of Emotional Signals from the DEAP dataset

Authors:

Giuseppe Placidi, Paolo Di Giamberardino, Andrea Petracca, Matteo Spezialetti and Daniela Iacoviello

Abstract: A Brain Computer Interface (BCI) is a useful instrument to support human communication, frequently implemented by using electroencephalography (EEG). Regarding the used communication paradigm, a very large number of strategies exist and, recently, self-induced emotions have been introduced. However, in general the actual emotion- based BCIs are just binary, since they are capable of recognizing just a single emotion. A crucial node is the introduction of more than a single emotional state for improving the efficiency of a BCI. In order to be used in BCIs, signals from different emotional states have to be collected, recognized and classified. In the present paper, a method for mapping several emotional states was described and tested on EEG signals collected from a publicly available dataset for emotion analysis using physiological signals (DEAP). The proposed method, its experimental protocol, and preliminary numerical results on three different emotional states were presented and discussed. The method, based on multiple binary classification, was capable of optimizing the most discriminative channels and the features combination for each emotional state and of recognizing between several emotional states through a polling system.

Short Papers
Paper Nr: 8
Title:

Factors Influencing Physiotherapist’s Intention to Use a Novel Physical Exercise Communication System in NeuroRehabilitation

Authors:

Elise Klaebo Vonstad, Marit N. Olsen, Linda Rennie and Arve Opheim

Abstract: Background: A web-based communication platform for physical neuro-rehabilitation (MobileMovement, Sunnaas Rehabilitation Hospital) was developed in concept. The goal is that this interactive feedback system can secure effective physical exercise when these are performed without the physiotherapist present, both at the hospital and at home or in the gym, and to give the (physio)therapist the opportunity to follow up the patients’ exercise adherence and adjust the exercises and -plans if necessary. Aim: to investigate to what degree different domains relate to therapists’ Intention to Use the MobileMovement platform. Method: mTAM (Gagnon et al, 2012) questionnaires were distributed during a plenary session, where responses to statements were given on a 1-7 likert scale. Spearman's corr.coeff was extracted between domains. Participants (n=36) were 75% women, mean age 39.9 (SD=11.4). Results: The highest median score was Attitude(Att) with 5.75 (Q1,Q3=5.0,6.0), and the lowest was Habit(Hab) with 3.83 (Q1,Q3=3.3,5.7). Remaining median scores were between 4.50-5.33. Spearmans' Corr. Coeff. were moderate, ranging from ,442 (p=,007) between Facilitators(Fac) and Att to ,814 (p=,000) between Percieved Usefulness (PU) and Att. Att and Fac had correlations to Intention to Use (Int) of ,527 (p=,001), ,596 (p=,000) respectively. Discussion and conclusion: Therapists were generally positive to the concept. Att correlates well with Int, as does Fac, indicating that these are important factors in Int. The system has the potential to facilitate effective physical rehabilitation in neurological patients, but facilitators and habits in the clinical setting should be taken into consideration for succeessful implementation.

Paper Nr: 11
Title:

Recovery of the Cognitive Function by the Non-Invasive Multichannel Neuro-Electrostimulation for Patients with Amnesic Syndrome

Authors:

Vladimir Kublanov, Timur Petrenko, Mikhail Babich, Anna Petrenko and Konstantin Retyunskiy

Abstract: The efficiency of non-invasive multichannel neuro-electrostimulation device for recovery of cognitive functions is presented in article. The article contain description of the structural schematic and algorithm of the microcontroller execution program of “SYMPATHOCOR-01” device. The possibility of the “SYMPATHOCOR-01” application for the cognitive disorders treatment is justified. As the example, results are presented that involved five middle-aged men with signs of pronounced organic amnesic syndrome, previously held specialized treatment in hospital. As a result, the stimulation rate during the three weeks of recovery could achieve stable fixing of memory and other cognitive functions in all the patients according to clinical observation and methods of neuropsychological assessments FAB, MoCA and MMSE. A significant positive trend noted by the results of the data analysis of EEG and heart rate variability. A hypothesis mechanism for clinical effect is formulated.

Paper Nr: 13
Title:

Cybernetic Enriched Environment for Cognitive Rehabilitation

Authors:

Anna Bezdenezhnykh, Semen Prokopenko, Elena Mozheyko, Vladidmir Salmin, Alla Salmina and Yulia Komleva

Abstract: Development of a new proprietary method for cognitive rehabilitation based on Cybernetic Enriched Environment and assessment of its efficiency.

Area 2 - Neurocomputing

Short Papers
Paper Nr: 3
Title:

A Human-Computer Interface based on Electromyography Command-Proportional Control

Authors:

Sergey Lobov, Nadia Krilova, Innokentiy Kastalskiy, Victor Kazantsev and Valeri Makarov

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. The interface was tested on twelve healthy subjects. All of them were able to control the cursor and simulate mouse clicks. The collected data show that at the beginning users may have difficulties that are reduced with the experience and the cursor movement by hand gestures becomes smoother, similar to manipulations by a computer mouse.

Paper Nr: 12
Title:

Effect of Typicality in Abstract Word Categories on N400 ERP

Authors:

Mansoureh Fahimi and Marc Van Hulle

Abstract: We investigate the effect of word typicality-the degree of membership of a word to its superordinate category- on the N400 event-related potential (ERP) using a single trial detection approach based on spatiotemporal beamforming. Unlike the norm in studies, where mostly concrete categories are used (imaginable objects), we considered a total of 6 basic categories: three abstract and unimaginable (emotion, event, illness) one abstract yet clearly imaginable (colour), and two concrete categories, one coherent (mammals) and the other incoherent (furniture). Our results show that, independently of word abstractness or concreteness, word typicality has a clear effect on N400 both in terms of amplitude and scalp localization, which in turn is indicative of differences in difficulty of word processing.

Area 3 - Neuromodulation and Neural Prosthesis

Short Papers
Paper Nr: 15
Title:

Engineering a Stable Synaptogenic Extracellular Matrix

Authors:

Laila Al-Alwan, Markus Hellmund, Rainer Haag and Timothy Kennedy

Abstract: Synapses are specialized sites of asymmetric cell – cell contact that mediate information transfer between neurons and their targets. Many proteins involved in the recruitment, organization and maintenance of synapses have been identified. Surprisingly, synaptic differentiation does not require a biological membrane surface. Instead, synaptic specializations can form quickly at sites of neurite adhesion to microspheres (beads) coated with synaptogenic proteins or even poly-lysine, a synthetic cationic polypeptide, raising the possibility that functional hemi-synaptic connections could be formed onto designer engineered surfaces. Previous studies examining the stability of synapses formed in brain onto poly-lysine coated beads found they were unstable, degraded, and ultimately replaced by a glial scar. Here, we address the capacity of an extreme biomimetic of poly-lysine, PGB50, a dendritic polyglycerol (dPG)-amine soft matter nanoparticle, to enhance synapse formation in long-term cultures of rat cortical neurons. Microbeads coated with PGB50 exhibit substantially enhanced synaptogenesis and synapse stability compared to poly-lysine. We propose that synaptogenic extracellular matrices could be used to engineer synaptogenic electrodes with enhanced neural-compatibility, reducing glial scaring and inflammation, and allowing for bi-directional communication with neurons through the formation of stable of synaptic specializations.

Paper Nr: 16
Title:

Identifying Intra-Cortical Recording Instabilities

Authors:

Maran Ma, Theodoros P. Zanos, Matthew M. Krause, Christopher C. Pack and Timothy E. Kennedy

Abstract: Cortical multielectrode-arrays (MEA) offer some of the highest resolution technology for detecting clinical user intent for controlling prosthesis, such as robotics and functional electrical stimulation. To improve MEAs to retain more stable channels, it is critical to prioritize engineering requirements, as the biological vs. non-biological causes of instability/failure may require opposite design strategies. We examined long term intra-cortical recordings from sensory & processing areas of macaque cortex - where neural activity can be regulated by stimuli - and analysed individual channel spike rates and biological noise: 1) Quantifying and fitting the distribution of spike rates per session gave an illustrative statistic of channel stability. This method does not rely on spike sorting, which is non-trivial to perform and the margins of error are harmful to stability assessment. 2) Tabulating all peaks in the recording showed that the "core" of the amplitude distribution (comprised of biological noise and system noise) can remain constant when the spike count is low, indicating cellular causes such as poor health of a neuron; this analysis also identified sessions with abnormal signal core shape, suggesting true hardware failure.

Area 4 - NeuroSensing and Diagnosis

Full Papers
Paper Nr: 4
Title:

New EEG Measure of the Alertness Analyzed by Emotiv EPOC in a Real Working Environment

Authors:

Dariusz Sawicki, Agnieszka Wolska, Przemysław Rosłon and Szymon Ordysiński

Abstract: Alertness level evaluation has obvious implications for safety–critical occupations such as operators in control rooms or drivers. It has already been stated that alertness can be assessed objectively by EEG. However, the high costs of standard medical equipment for EEG measurement, their complex and time-consuming operation, and the need to use conductive gel on the scalp make this method impossible for general use or at workstations. The aim of the study was to analyze the possibility of alertness level assessment based on EEG measurements using the Emotiv EPOC headset, which is relatively cheap, wireless, comfortable for wearing and does not need the use the of conductive gel, but allows the capture of only 14 channels of EEG. The experiments were carried out in laboratory conditions using three different light spectra for 40 minutes exposure on office workstation during the afternoon drop in alertness. 50 participants took part in each light scene (white, red, blue). The EEG measurements were performed before exposure and just after exposure to a particular light scene. A new measure of alertness, based on analysis of EEG signals, has been introduced. The results showed that this new measure based on low-cost Emotiv EPOC EEG measurements is reliable and confirms the results of previous studies.

Short Papers
Paper Nr: 7
Title:

Application of the Discriminant Analysis for Diagnostics of the Arterial Hypertension - Analysis of Short-Term Heart Rate Variability Signals

Authors:

Vladimir Kublanov, Anton Dolganov and Vasilii Borisov

Abstract: The investigation of the diagnostic possibilities for the arterial hypertension is presented. The 41 features of the statistical, geometric, spectral and nonlinear methods during functional loads were considered for two groups: healthy volunteers and patients suffering from the arterial hypertension of the II-III degree. Application of the linear and quadratic discriminant analysis showed particular features that have high classification efficiency.