Dissertations / Theses on the topic 'EOG'
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Yue, Chongshi. "EOG Signals in Drowsiness Research." Thesis, Linköpings universitet, Biomedicinsk instrumentteknik, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-81761.
Full textKelly, Graham. "Development of a compact, low-cost wireless device for biopotential acquisition." VCU Scholars Compass, 2014. http://scholarscompass.vcu.edu/etd/3559.
Full textNoureddin, Borna. "Online removal of eye movement and blink artifacts from EEG signals without EOG." Thesis, University of British Columbia, 2010. http://hdl.handle.net/2429/27818.
Full textChocos, Ruiz Miguel Edgardo. "Estudo de filtros adaptativos para a remoção de artefatos de EOG em sinais de EEG." Florianópolis, SC, 1999. http://repositorio.ufsc.br/xmlui/handle/123456789/81217.
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Hapuarachchi, Pasan. "Feature selection and artifact removal in sleep stage classification." Thesis, University of Waterloo, 2006. http://hdl.handle.net/10012/2879.
Full textHowever, if some of these artifacts are removed prior to analysis, their job will be become easier. Furthermore, one of the biggest motivations, of our team's research is the construction of a portable device that can analyze the sleep data as they are being collected. For this task, the sleep data must be analyzed completely automatically in order to make the classifications.
The research presented in this thesis concerns itself with the denoising and the feature selection aspects of the teams' goals. Since humans are able to process artifacts and ignore them prior to classification, an automated system should have the same capabilities or close to them. As such, the denoising step is performed to condition the data prior to any other stages of the sleep stage neoclassicisms. As mentioned before, the denoising step, by itself, is useful to human EEG technicians as well.
The denoising step in this research mainly looks at EOG artifacts and artifacts isolated to a single EEG channel, such as electrode pop artifacts. The first two algorithms uses Wavelets exclusively (BWDA and WDA), while the third algorithm is a mixture of Wavelets and In- dependent Component Analysis (IDA). With the BWDA algorithm, determining consistent thresholds proved to be a difficult task. With the WDA algorithm, the performance was better, since the selection of the thresholds was more straight-forward and since there was more control over defining the duration of the artifacts. The IDA algorithm performed inferior to the WDA algorithm. This could have been due to the small number of measurement channels or the automated sub-classifier used to select the denoised EEG signal from the set of ICA demixed signals.
The feature selection stage is extremely important as it selects the most pertinent features to make a particular classification. Without such a step, the classifier will have to process useless data, which might result in a poorer classification. Furthermore, unnecessary features will take up valuable computer cycles as well. In a portable device, due to battery consumption, wasting computer cycles is not an option. The research presented in this thesis shows the importance of a systematic feature selection step in EEG classification. The feature selection step produced excellent results with a maximum use of just 5 features. During automated classification, this is extremely important as the automated classifier will only have to calculate 5 features for each given epoch.
Karlsson, Johanna. "Identifying patterns in physiological parameters of expert and novice marksmen in simulation environment related to performance outcomes." Thesis, Linköpings universitet, Avdelningen för medicinsk teknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-139589.
Full textPeiris, Malik Tivanka Rajiv. "Lapses in Responsiveness: Characteristics and Detection from the EEG." Thesis, University of Canterbury. Electrical and Computer Engineering, 2008. http://hdl.handle.net/10092/1261.
Full textMathew, Blesy Anu. "ENTROPY OF ELECTROENCEPHALOGRAM (EEG) SIGNALS CHANGES WITH SLEEP STATE." UKnowledge, 2006. http://uknowledge.uky.edu/gradschool_theses/203.
Full textHartmann, Daniel Michael. "Einsatz eines superfundierten Retina-RPE-Choroidea Präparats vom Haushuhn (Gallus domesticus) zur Untersuchung pharmakologischer Wirkungen mittels in vitro elektroretinographischer Erfassung (ERG und EOG) von okulären Funktionen." [S.l. : s.n.], 2004. http://www.bsz-bw.de/cgi-bin/xvms.cgi?SWB11679860.
Full textEscola, Henri. "Analyse et traitement de signaux physiologiques pour la mesure de l'action de substances pharmacologiques." Compiègne, 1993. http://www.theses.fr/1993COMPD593.
Full textSvensson, Ulrika. "Blinkbeteendebaserad trötthetsdetektering : metodutveckling och validering." Thesis, Linköping University, Department of Biomedical Engineering, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2578.
Full textElectrooculogram (EOG) data was used to develop, adjust and validate a method for drowsiness detection in drivers. The drowsiness detection was based on changes in blink behaviour and classification was made on a four graded scale. The purpose was to detect early signs of drowsiness in order to warn a driver. MATLAB was used for implementation. For adjustment and validatation, two different reference measures were used; driver reported ratings of drowsiness and an electroencephalogram (EEG) based scoring scale. A correspondence of 70 % was obtained between the program and the self ratings and 56 % between the program and the EEG based scoring scale. The results show a possibility to detect drowsiness by analyzing blink behaviour changes, but that inter-individual differences need to be considered. It is also difficult to find a comparable reference measure. The comparability of the blink based scale and the EEG based scale needs further investigation.
Bissoli, A. L. C. "Solução Multimodal para Interação Com Dispositivos de Assistência e Comunicação." Universidade Federal do Espírito Santo, 2016. http://repositorio.ufes.br/handle/10/9549.
Full textPessoas com deficiência têm dificuldade de interagir com o ambiente onde vivem, devido às próprias limitações inerentes à sua deficiência. Atividades simples como ligar lâmpada, ventilador, televisão ou qualquer outro equipamento, de forma independente, pode ser impossível para esse grupo de pessoas. Este trabalho apresenta um sistema assistivo multimodal para controlar um ambiente inteligente por meio de sinais biológicos. Os usuários em potencial deste sistema são indivíduos com deficiências motoras graves, que desejam adquirir mais autonomia dentro do ambiente doméstico. Os sinais biológicos utilizados são sEMG, EOG e VOG. Isso possibilitou dois tipos de interação: uma empregando gestos faciais e movimento dos olhos, e a outra utilizando o rastreamento das fixações do olhar (eye/gaze tracking). Um diferencial importante deste trabalho é a utilização de dispositivos convencionais de baixo custo, fácil manuseio e de rápida configuração. No primeiro bloco de testes, o objetivo era avaliar o desempenho do sistema utilizando o Emotiv EPOC e o Eye Tracker, comparando a Taxa de Transferência de Informação (ITR) e a Utilidade (U) de ambas as Interfaces Humano-Máquina (IHM) desenvolvidas para controlar o Ambiente Inteligente. Para esses testes foram pré-estabelecidas cinco tarefas, as quais foram realizadas por dez voluntários. No segundo bloco de testes, o objetivo era avaliar a usabilidade (SUS) e o desempenho (GAS) do sistema do ponto de vista do usuário, utilizando o Eye Tracker em três aplicações diferentes: Controle do Ambiente Inteligente (AI), Comunicação Aumentativa e Alternativa (CAA) e Ambiente Virtual (AV). Os testes foram realizados por 17 voluntários (sendo dois com deficiência em todas as aplicações) e foram pré-estabelecidas 5, 5 e 18 tarefas para as três aplicações (AI, CAA e AV, respectivamente). Com relação aos resultados da avaliação de desempenho, observou-se que 15 dos 17 participantes obtiveram resultado esperado ou superior ao esperado logo na primeira utilização. Este resultado ainda pode ser melhorado, à medida que o participante obtiver maior familiaridade com o sistema.
Laurent, François. "Détection de la fatigue mentale à partir de données électrophysiologiques." Phd thesis, Université Pierre et Marie Curie - Paris VI, 2010. http://tel.archives-ouvertes.fr/tel-00634776.
Full textHartmann, Daniel Michael [Verfasser]. "Einsatz eines superfundierten Retina-RPE-Choroidea-Präparats vom Haushuhn (Gallus domesticus) zur Untersuchung pharmakologischer Wirkungen mittels in-vitro-elektroretinographischer Erfassung (ERG und EOG) von okulären Funktionen / vorgelegt von Daniel Michael Hartmann." Tübingen, Stöcklestr. 22 : D. M. Hartmann, 2004. http://d-nb.info/973244127/34.
Full textVennelaganti, Swetha. "AGING AND SLEEP STAGE EFFECTS ON ENTROPY OF ELECTROENCEPHALOGRAM SIGNALS." UKnowledge, 2008. http://uknowledge.uky.edu/gradschool_theses/553.
Full textRomero, Lafuente Sergio. "Reducción de artefactos en señales electroencefalográficas mediante nuevas técnicas de filtrado automático basadas en separación ciega de fuentes." Doctoral thesis, Universitat Politècnica de Catalunya, 2010. http://hdl.handle.net/10803/6208.
Full textEl objetivo principal de la tesis es el diseño y evaluación objetiva de métodos automáticos de filtrado de artefactos oculares en señales EEG espontáneas para la mejora cuantitativa en los estudios de fármaco-EEG. Para ello, se estudian las diferentes situaciones de contaminación ocular en las señales EEG y su problemática bajo la situación de vigilia, mediante bases de datos de registros adquiridos en voluntarios sanos tras la administración de fármacos. Se describen los métodos clásicos de filtrado ocular y la implementación del nuevo método de filtrado automático basado en BSS. La situación más propicia para una evaluación objetiva de los diferentes métodos de filtrado ocular precisa la utilización de señales electrooculográficas (EOG) y EEG simuladas, donde las actividades ocular y cerebral puedan ser conocidas de antemano. Se generan señales simuladas a partir de la mezcla de las actividades ocular y cerebral (extraídas de señales EOG y EEG reales) mediante dos estrategias: mezclas instantáneas y mezclas convolutivas. Se realiza un análisis comparativo de la eficacia de los métodos de filtrado ocular en las señales simuladas. A continuación, se determina el impacto del filtrado ocular en la evaluación de los efectos inducidos por un fármaco en el cerebro, comparando el método propuesto basado en BSS con el procedimiento considerado gold standard.
A partir de los resultados obtenidos se puede concluir que el método para la reducción de artefactos oculares basado en BSS propuesto en esta tesis doctoral muestra un mejor comportamiento que el método gold standard tanto en señales simuladas [Romero et al, 2008] [Romero et al, 2009a] como en señales reales [Romero et al, 2009b].
Las aportaciones más relevantes de esta tesis son: 1) La implementación de un nuevo método completamente automático para el filtrado de la contaminación ocular en señales EEG. Este método está basado en los algoritmos de BSS AMUSE o SOBI indistintamente, se aplica a segmentos de corta duración, e incluye la detección automática de las componentes fuente asociadas a la actividad ocular. 2) La estimación de modelos MISO que reflejan la propagación de las actividades ocular y cerebral a lo largo del cuero cabelludo. Dichos modelos han permitido aportar información para aclarar la discusión acerca de la dependencia o independencia de la frecuencia en la propagación ocular. Estos resultados afirman que ambas propagaciones de la actividad ocular y cerebral pueden considerarse independientes de la frecuencia, y por tanto totalmente de acuerdo con lo esperado a partir del conocimiento biofísico existente. 3) La realización de una herramienta informática para el procesado de señales EEG en estudios de fármaco-EEG. Esta interfaz gráfica interactiva ya ha empezado a ser utilizada en diversos estudios de evaluación del efecto de un fármaco en el sistema nervioso central [Alonso et al., 2010], por el CIM del Hospital de la Santa Creu i Sant Pau de Barcelona.
Quantitative analysis and interpretation of electroencefalographic (EEG) signals are useful methods to study functional states of the brain, to evaluate drug effects and to diagnose psychiatric and neurological disorders. However, it is known that non-cortical interferences contribute to EEG recordings. Ocular artifacts are the most relevant and critical interference. The gold standard method in neuropsychopharmacology for reducing ocular contamination is based on linear regression. Nevertheless, this technique not only reduces the ocular contamination, but also cancels relevant cerebral information contained in the electrooculographic (EOG) recordings. In this way, the development of new automatic methods for reducing ocular artifacts in EEG signals, that solve the drawbacks shown by most common used techniques, is a crucial step in the clinical trials that assess the effects of a drug in the central nervous system.
The aim of this PhD thesis is the design and the objective evaluation of automatic ocular filtering methods in spontaneous EEG signals in order to quantitatively improve the results and conclusions obtained in pharmaco-EEG studies. Thus, different ocular contamination situations in EEG signals are evaluated in order to understand this problematic situation during wakefulness by means of databases acquired from healthy volunteers after drug administration. The classical ocular filtering methods and the implementation of a new automatic procedure based on blind source separation (BSS) are described. The best situation for an objective evaluation of the different ocular reduction methods needs the use of simulated EOG and EEG signals, where ocular and cerebral activities can be known a priori. Simulated signals are generated from a linear mixture between ocular and cerebral activities (extracted from real EOG and EEG signals) by means of two strategies: instantaneous and convolutive mixing models. A comparative analysis of the effectiveness of the filtering methods on the simulated signals is performed. Next, the influence of ocular filtering procedures in the conclusions drawn from a pharmaco-EEG trial is assessed, comparing the method proposed in this PhD thesis based on BSS with the gold standard procedure.
From the results obtained in time and frequency domain, it can be concluded that the method for reducing ocular artifacts based on BSS, developed in this PhD thesis, shows a better performance than the gold standard procedure in simulated signals [Romero et al, 2008] [Romero et al, 2009a] as much as in real signals [Romero et al, 2009b].
The most relevant contributions of this thesis are: 1) The implementation of a new completely automatic method for reducing ocular contamination in EEG signals. This procedure is based on the BSS algorithms, AMUSE or SOBI indistinctly, it is applied in short duration segments, and it includes the automatic detection of the source components related to ocular activity. 2) The estimation of MISO models corresponding to the propagation of ocular and cerebral activities across the scalp. These models have contributed with interesting information about the discussion if ocular propagation is frequency dependent or independent. These results conclude that ocular and cerebral propagation can be considered practically frequency independent which is consistent to what would be expected from the biophysics knowledge. 3) The development of a computer tool for EEG signals processing in pharmaco-EEG studies. The Drug Research Center (CIM) of the Hospital de la Santa Creu i Sant Pau of Barcelona has started to use this interactive graphical user interface for evaluating the effect of a drug on the brain in several pharmaco-EEG studies [Alonso et al, 2010].
Díaz, Suarez José Edgard, and Vargas Christian Ricardo Morales. "Desarrollo de una interfaz mediante señales EOG para el manejo de la computadora por parte de una persona con discapacidad en los miembros superiores." Bachelor's thesis, Universidad Peruana de Ciencias Aplicadas (UPC), 2019. http://hdl.handle.net/10757/652754.
Full textThe present thesis proposes the design of a system that works with electro-occupational signals and then processes and interprets them so that the user can work with the computer using only the ocular muscle. The problem that is solved has a technical engineering inclination, since it seeks to correct the weaknesses and cover the aspects not touched by the present state of the art, to finally design an electronic equipment that allows the interaction of a user with a computer under the needs of a person with a disability in the upper limbs. The designed device is composed of a circuit capable of acquiring through electrodes the EOG signal of a person, processing and analyzing it to know the waveform and then interpret it and send a waveform recognition character using a bluetooth to a computer with which it must be paired in advance. This computer will consist of software that was designed in the present thesis and will be able to interpret the received characters and perform functions of moving and pressing a mouse, as well as writing using a virtual keyboard. In order to validate the designed device, tests were made with 16 people, of which 14 were people without disabilities in the upper limbs and 2 of them were. We did not work with patients from a specific health centre, but tested with people contacted by doctors and physiotherapists, including some who work for the UPC, who provided their unconditional support for validation and testing with the patients in their care. The results obtained in the tests carried out show that out of a group of 16 people the efficiency in the recognition of the waveform of a double blink is 92.9%, of the blink - look up and blink - look down 88.4% and of the prolonged blink 93%. The target value was 80% to more, so it is achieved.
Tesis
伊月, 宣之. "強度視力障害者の眼電位図(EOG)測定法の開発に関する研究." 京都大学, 1996. http://hdl.handle.net/2433/160799.
Full textKyoto University (京都大学)
0048
新制・論文博士
博士(工学)
乙第9204号
論工博第3107号
新制||工||1039(附属図書館)
UT51-96-F441
(主査)教授 西川 禕一, 教授 安陪 稔, 教授 池田 光男
学位規則第4条第2項該当
Němcová, Andrea. "Hodnocení únavy pomocí elektrookulografie." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2014. http://www.nusl.cz/ntk/nusl-220869.
Full textHooshidar, Daniel, and Yobart Amino. "Implementation av portabla REM-identifierande sensorer : Undersökning kring lämpliga, icke-påträngande metoder för REM-igenkänning." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-232117.
Full textTiredness in traffic is a major problem in society. It is especially dangerous to drive heavy trucks when tired because these vehicles are large and often have vital roles when involved in traffic accidents. To address the problem, this degree project has studied which sleep stage is most appropriate to wake up during, in order to wake up sharp and alert, and what types of techniques and methods are suitable for portable detection of Rapid-Eye-Movement. Previous work and studies have been done which indicates that awakening during REM sleep is optimal for feeling alert. The chosen methods are based on variants of well-established techniques that are used to identify sleep stages. Electrooculography is used to measure eye movements using four electrodes placed on the head. Body movements are detected by an accelerometer attached to the arm. Pulse measurements are made and used to calculate the pulse variation during sleep. The goal is to create a prototype which will know when the user is in REM sleep and then wake the user up. This work is divided into two embedded systems that are made between two different degree projects. The result was three sensors that worked individually. Due to lack of time and a longer troubleshooting, the prototype was not completed. Before the sensors can be used in a product, additional tests are required under the supervision of a sleep specialist.
Balli, Tugce. "Nonlinear analysis methods for modelling of EEG and ECG signals." Thesis, University of Essex, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.528852.
Full textChen, Tsai Yuan. "Network Electrophysiology Sensor-On-A- Chip." Digital WPI, 2011. https://digitalcommons.wpi.edu/etd-dissertations/389.
Full textMičánková, Veronika. "Kognitivní evokované potenciály a fixace očí při vizuální emoční stimulaci." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2016. http://www.nusl.cz/ntk/nusl-220722.
Full textAbbaspour, Sara. "Proposing Combined Approaches to Remove ECG Artifacts from Surface EMG Signals." Licentiate thesis, Mälardalens högskola, Inbyggda system, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-27878.
Full textElektromyografi (EMG) är ett verktyg som rutinmässigt används för en mängd olika applikationer inom många discipliner. Dock är denna signal oundvikligen kontaminerad av artefakter som kommer från olika källor. Elektrisk aktivitet av hjärtmuskln, elektrokardiogram (EKG), är en av störkällorna som påverkar EMG-signalerna på grund av närheten till hjärtat och som försämrar analysens tillförlitlig. Olika metoder har föreslagits för att ta bort EKG artefakter från yt-EMG-signaler men trots många försök att eliminera eller minska denna artefakt, kvarstår problemet med korrekt och effektivt brusreducering av EMG. I denna studie har vanliga metoder för brusundertryckning undersökts, såsom högpassfilter (HPF), gatingmetod, spikklippning, hybridteknik, subtraktionsmetod, oberoende komponentanalys (ICA), wavelet, wavelet-ICA, artificiella neurala nätverk (ANN), och adaptiv brusreducering (ANC) och adaptiv neuro fuzzy inference system (ANFIS). Metorderna har använts för att avlägsna EKG- artefakter från yt-EMG-signaler och deras noggrannhet och effektivitet har undersökts. HPF, gatingmetod och spikklippning är snabba; men de tar även bort relevant information från EMG-signalen. Hybridteknik och ANC är tidskrävande. Subtraktionsmetoden kräver kännedom om QRS-mönstret.Wavelettransformen lämnade kvar vissa artefakter i signalen, och avlägsnade även endel av den ursprungliga EMG-signalen. ICA kräver flerkanaliga signaler. Wavelet-ICA kräver inte flerkanaliga signaler, men är däremot användarberoende. ANN och ANFIS har bra prestanda, men det är möjligt att förbättra resultaten genom att kombinera dem med andra tekniker. För vissa tillämpningar av EMG-signaler såsom rehabilitering, rörelsekontroll och prediktion, är kvaliteten på EMG-signalerna mycket viktigt. Dessutom måste de artefaktreducerande metoderna vara i realtid och automatiska. Detta innebär att metoderna ANN-wavelet, adaptiv subtraktion och automatiserad wavelet-ICA rekommenderas för effektiv eliminering av EKG-artefakter från yt-EMG-signaler. För att jämföra resultaten av de undersökta och föreslagna metoderna i denna studie, har rena EMG-signaler från biceps och delta-muskler, samt EKG-artefakter från stora bröstmuskeln spelats in från fem friska personer. För att skapa 10-kanaliga brusiga EMG-signaler har de inspelade EKG-artefakterna adderats till de rena EMG-signalerna. De olika artefaktreduceringsmetoderna har även tillämpats på 10 kanaler verkliga EMG signaler med artefakter, från stora bröstmuskeln på vänster sida. Utvärderingskriterier såsom signal-brusförhållandet, relativta felet, korrelationskoefficienten, förfluten tid och effektspektrumstäthet har använts för att utvärdera de föreslagna metoderna. Prestandan hos den föreslagna ANN-wavelet metoden befanns överlägsen de andra metoderna med ett signalbrusförhållande på 15,53, relativt fel på 0,01 och korrelationskoefficient på 0,98.
Coughlin, Michael J., and n/a. "Calibration of Two Dimensional Saccadic Electro-Oculograms Using Artificial Neural Networks." Griffith University. School of Applied Psychology, 2003. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20030409.110949.
Full textCoughlin, Michael J. "Calibration of Two Dimensional Saccadic Electro-Oculograms Using Artificial Neural Networks." Thesis, Griffith University, 2003. http://hdl.handle.net/10072/365854.
Full textThesis (PhD Doctorate)
Doctor of Philosophy (PhD)
School of Applied Psychology
Griffith Health
Full Text
Fuchs, Bernhard [Verfasser]. "Integrierte Sensorschaltungen zur EKG- und EEG-Ableitung mit prädiktiver Signalverarbeitung / Bernhard Fuchs." Aachen : Shaker, 2004. http://d-nb.info/1172609055/34.
Full textJoseph, Jeff Varkey Joshy. "On the relationship between corticomuscular (EEG-EMG) phase coupling and muscular fatigue." Master's thesis, University of Cape Town, 2015. http://hdl.handle.net/11427/15543.
Full textSouza, Pedro Victor Eugenio de. "Sistema de aquisição de sinais de EMG e ECG para plataforma Android." reponame:Repositório Institucional da UFPE, 2015. https://repositorio.ufpe.br/handle/123456789/14022.
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Este trabalho fala sobre o desenvolvimento de um protótipo de um sistema de aquisição de sinais de ECG e EMG, de baixo custo de fabricação, baixo consumo de energia e que se comunica via wireless, utilizando protocolo de comunicação Bluetooth, com dispositivos AndroidTM. O desenvolvimento desse protótipo teve como finalidade a monitorização, em tempo real, dos sinais de ECG e EMG de um indivíduo, durante a realização de atividades físicas. Neste equipamento procurou-se realizar o projeto dos amplificadores para sinais biológicos (ECG e EMG), que combinasse baixo consumo e portabilidade, ou seja, os componentes escolhidos para este trabalho objetivaram reduzir o tamanho do circuito. Além disso, a transmissão de dados via Bluetooth foi adequada para que esses dados fossem utilizados em um dispositivo AndroidTM (smartphone), gerando a oportunidade para uma nova gama de produtos, os quais possam integrar a tecnologia existente nos celulares modernos à tecnologia de instrumentação biomédica aplicada ao monitoramento remoto de sinais biológicos. Com o intuito de atingir esse objetivo, foram desenvolvidos os sistemas de controle e processamento, baseados na arquitetura RISC, amplificação e filtragem, fonte de alimentação e comunicação Bluetooth, integrados em duas placas de circuito impresso, ambas com dimensão de 3x5cm. O firmware do sistema de aquisição e o software de visualização, controle e armazenamento de sinal foram desenvolvidos com a finalidade de tornar compatível o sistema com a maioria dos dispositivos baseados no sistema operacional AndroidTM. O sistema foi testado, apresentando bom desempenho na transmissão de dados e boa estabilidade em relação ao armazenamento e controle do consumo de energia. Atualmente, este sistema vem sendo utilizado em projetos de pesquisa e dissertações de mestrado com a finalidade de identificar possíveis problemas ou adequações a serem realizadas, tanto ao nível de hardware como de software. Com o sistema validado muitas pessoas podem ser beneficiadas, pois esse equipamento une a praticidade e multifuncionalidade dos telefones AndroidTM com a tecnologia de aquisição e processamento de sinais biológicos.
Taffese, T. (Tewodros). "A review of using EEG and EMG psychophysiological measurements in user experience research." Master's thesis, University of Oulu, 2017. http://urn.fi/URN:NBN:fi:oulu-201706022478.
Full textPoiseau, Éric. "Traitement du signal appliqué à l'analyse des signaux EEG et ECG enregistrés pendant le sommeil." Compiègne, 1993. http://www.theses.fr/1993COMPD592.
Full textSvärd, Daniel. "Design and evaluation of a capacitively coupled sensor readout circuit, toward contact-less ECG and EEG." Thesis, Linköping University, Department of Electrical Engineering, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-54520.
Full textIn modern medicine, the measurement of electrophysiological signals play a key role in health monitoring and diagnostics. Electrical activity originating from our nerve and muscle cells conveys real-time information about our current health state. The two most common and actively used techniques for measuring such signals are electrocardiography (ECG) and electroencephalography (EEG).
These signals are very weak, reaching from a few millivolts down to tens of microvolts in amplitude, and have the majority of the power located at very low frequencies, from below 1 Hz up to 40 Hz. These characteristics sets very tough requirements on the electrical circuit designs used to measure them. Usually, measurement is performed by attaching electrodes with direct contact to the skin using an adhesive, conductive gel to fixate them. This method requires a clinical environment and is time consuming, tedious and may cause the patient discomfort.
This thesis investigates another method for such measurements; by using a non-contact, capacitively coupled sensor, many of these shortcomings can be overcome. While this method relieves some problems, it also introduces several design difficulties such as: circuit noise, extremely high input impedance and interference. A capacitively coupled sensor was created using the bottom layer of a printed circuit board (PCB) as a capacitor plate and placing it against the signal source, that acts as the opposite capacitor plate. The PCB solder mask layer and any air in between the two acts as the insulator to create a full capacitor. The signal picked up by this sensor was then amplified by 60 dB with a high input impedance amplifier circuit and further conditioned through filtering.
Two measurements were made of the same circuit, but with different input impedances; one with 10 MΩ and one with 10 GΩ input impedance. Additional filtering was designed to combat interference from the main power lines at 50 Hz and 150 Hz that was discovered during initial measurements. The circuits were characterized with their transfer functions, and the ability to amplify a very low-level, low frequency input signal. The results of these measurements show that high input impedance is of critical importance for the functionality of the sensor and that an input impedance of 10 GΩ is sufficient to produce a signal-to-noise ratio (SNR) of 9.7 dB after digital filtering with an input signal of 25 μV at 10 Hz.
Shiman, Farid [Verfasser], and Niels [Akademischer Betreuer] Birbaumer. "EEG and ECoG features for Brain Computer Interface in Stroke Rehabilitation / Farid Shiman ; Betreuer: Niels Birbaumer." Tübingen : Universitätsbibliothek Tübingen, 2018. http://d-nb.info/1168232562/34.
Full textPandey, Amare Ketsela Tesfaye and Amrit. "Empirical Evaluation of Machine Learning Algorithms based on EMG, ECG and GSR Data to Classify Emotional States." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3673.
Full textThe thesis is focused to classify emotional states from physiological signals. Features extraction and selection of the physiological signal was done, which was used for dataset formation and then classification of those emotional states. IAPS pictures were used to elicit emotional/affective states. Experiment was conducted with 13 participants in cognition and Robotics lab using biosensors EMG, ECG and GSR at BTH University. Nine participants data were taken for further preprocessing. We observed in our thesis the classification of emotions which could be analyzed by a combination of psychophysiological signal as Model A and Model B. Since signals of subjects are different for same emotional state, the accuracy was better for single participant than all participants together. Classification of emotional states is useful for HCI and HRI to manufacture emotional intelligence robot. So, it is essential to provide best classifier algorithms which can be helpful to detect emotions for developing emotional intelligence robots. Our work contribution lies in providing best algorithms for emotion recognition for psychophysiological data and selected features. Most of the results showed that SVM performed best with classification accuracy up to 59 % for single participant and 48.05 % for all participants together. For a single dataset and single participant, we found 60.17 % accuracy from MLP but it consumed more time and memory than other algorithms during classification. The rest of the algorithms like BNT, Naive Bayes, KNN and J48 also gave competitive accuracy to SVM. We conclude that SVM algorithm for emotion recognition from a combination of EMG, ECG and GSR is capable of handling and giving better classification accuracy among others. Tally between IAPS pictures with SAM helped to remove less correlated signals and to obtain better accuracies. Still the obtained results are small in percentage. Therefore, more participants are probably needed to get a better accuracy result over the whole dataset.
amarehenry@gmail.com ; Mobile: 0767042234 amrit.pandey111@gmail.com ; Mobile : 0704763190
Kurz, Stefan. "Das Verhältnis der EG-Fusionskontrollverordnung zu Artikel 85 und 86 des EWG-Vertrages /." Frankfurt am Main ;Berlin [u.a.] : Lang, 1993. http://www.gbv.de/dms/spk/sbb/recht/toc/271828463.pdf.
Full textMeste, Olivier. "Modélisations et Traitements de Signaux Biomédicaux." Habilitation à diriger des recherches, Université de Nice Sophia-Antipolis, 2003. http://tel.archives-ouvertes.fr/tel-00545558.
Full textLeonard, James W. Jr. "Replacing indirect manual assistive solutions with hands-free, direct selection." Wright State University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=wright1309282777.
Full textCarvalho, Jhonnata Bezerra de. "Classificador m?quina de suporte vetorial com an?lise de Fourier aplicada em dados de EEG e EMG." Universidade Federal do Rio Grande do Norte, 2016. http://repositorio.ufrn.br/handle/123456789/20964.
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Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior (CAPES)
O classificador M?quina de Suporte Vetorial, que vem do termo em ingl?s \textit{Support Vector Machine}, ? utilizado em diversos problemas em v?rias ?reas do conhecimento. Basicamente o m?todo utilizado nesse classificador ? encontrar o hiperplano que maximiza a dist?ncia entre os grupos, para aumentar o poder de generaliza??o do classificador. Neste trabalho, s?o tratados alguns problemas de classifica??o bin?ria com dados obtidos atrav?s da eletroencefalografia (EEG) e eletromiografia (EMG), utilizando a M?quina de Suporte Vetorial com algumas t?cnicas complementares, destacadas a seguir como: An?lise de Componentes Principais para a identifica??o de regi?es ativas do c?rebro, o m?todo do periodograma que ? obtido atrav?s da An?lise de Fourier, para ajudar a discriminar os grupos e a suaviza??o por M?dias M?veis Simples para a redu??o dos ru?dos existentes nos dados. Foram desenvolvidas duas fun??es no $software$ \textbf{R}, para a realiza??o das tarefas de treinamento e classifica??o. Al?m disso, foram propostos 2 sistemas de pesos e uma medida sumarizadora para auxiliar na decis?o do grupo pertencente. A aplica??o dessas t?cnicas, pesos e a medida sumarizadora no classificador, mostraram resultados bastantes satisfat?rios, em que os melhores resultados encontrados foram, uma taxa m?dia de acerto de 95,31\% para dados de est?mulos visuais, 100\% de classifica??o correta para dados de epilepsia e taxas de acerto de 91,22\% e 96,89\% para dados de movimentos de objetos para dois indiv?duos.
The classifier support vector machine is used in several problems in various areas of knowledge. Basically the method used in this classier is to end the hyperplane that maximizes the distance between the groups, to increase the generalization of the classifier. In this work, we treated some problems of binary classification of data obtained by electroencephalography (EEG) and electromyography (EMG) using Support Vector Machine with some complementary techniques, such as: Principal Component Analysis to identify the active regions of the brain, the periodogram method which is obtained by Fourier analysis to help discriminate between groups and Simple Moving Average to eliminate some of the existing noise in the data. It was developed two functions in the software R, for the realization of training tasks and classification. Also, it was proposed two weights systems and a summarized measure to help on deciding in classification of groups. The application of these techniques, weights and the summarized measure in the classier, showed quite satisfactory results, where the best results were an average rate of 95.31% to visual stimuli data, 100% of correct classification for epilepsy data and rates of 91.22% and 96.89% to object motion data for two subjects.
Ravelomanantsoa, Andrianiaina. "Approche déterministe de l'acquisition comprimée et la reconstruction des signaux issus de capteurs intelligents distribués." Thesis, Université de Lorraine, 2015. http://www.theses.fr/2015LORR0136/document.
Full textA wireless body area network (WBAN) is a new class of wireless networks dedicated to monitor human physiological parameters. It consists of small electronic devices, also called nodes, attached to or implanted in the human body. Each node comprises one or many sensors which measure physiological signals, such as electrocardiogram or body heat, and the characteristics of the surrounding environment. These nodes are mainly subject to a significant energy constraint due to the fact that the miniaturization has reduced the size of their batteries. A solution to minimize the energy consumption would be to compress the sensed data before wirelessly transmitting them. Indeed, research has shown that most of the available energy are consumed by the wireless transmitter. Conventional compression methods are not suitable for WBANs because they involve a high computational power and increase the energy consumption. To overcome these limitations, we use compressed sensing (CS) to compress and recover the sensed data. We propose a simple and efficient encoder to compress the data. We also introduce a new algorithm to reduce the complexity of the recovery process. A partnership with TEA (Technologie Ergonomie Appliquées) company allowed us to experimentally evaluate the performance of the proposed method during which a numeric version of the encoder has been used. We also developed and validated an analog version of the encoder
Thomas, Brigitta. "Die Europa-Politik Italiens : der Beitrag Italiens zur europäischen Einigung zwischen EVG und EG /." Baden-Baden : Nomos, 2005. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=013222886&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.
Full textTolaszová, Eva. "Analýza EEG signálů při Stroopově testu." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2009. http://www.nusl.cz/ntk/nusl-218220.
Full textKlarkowski, Madison W. "The psychophysiological evaluation of the player experience." Thesis, Queensland University of Technology, 2017. https://eprints.qut.edu.au/112418/1/Madison_Klarkowski_Thesis.pdf.
Full textEon, Antoine. "Contribution à la génération de mouvements dynamiques pour les robots humanoïdes et au dimensionnement de leurs actionneurs." Poitiers, 2009. http://theses.edel.univ-poitiers.fr/theses/2009/Eon-Antoine/2009-Eon-Antoine-These.pdf.
Full textThe work developed in this thesis focuses on the study and the generation of walking and jumping motions for humanoid robots. The tools developed for this purpose are then used to assist their design. The first part presents a motion generation tool applied to the robot HRP2. The robot is approached by an inverted pendulum. This model is coupled with predictive control to compute the trajectory of the center of gravity. A dynamic walk is then synthesized by solving the Inverse Kinematics Model. Modeling errors are highlighted using multi-body dynamics. An effective correction is given. A method to solve the redundancy during double-support phases, based on a given distribution of forces and torques (ground/sole contact), is also proposed. The trajectories obtained are validated in terms of fall risk, actuators needs and slipping. Finally, substantial improvements are carried out, allowing the planning of dynamic quantities during the motion generation. In a second part, the previously introduced concepts are used to generate motions for a virtual human defined from anthropometric data. A movement extracted by motion capture is considered in order to study actuators needs for a population of virtual humans of different sizes and masses. The impact of these parameters on the slipping risk and on the location of the ZMP is highlighted. Finally, a database of motions judged meaningful is used to properly select the actuators of a robot of a given size and mass
BARRA, SILVIO. "Design of a Multi-biometric Platform, based on physical traits and physiological measures: Face, Iris, Ear, ECG and EEG." Doctoral thesis, Università degli Studi di Cagliari, 2016. http://hdl.handle.net/11584/266893.
Full textZeaiter, Hayssam. "Analyse des stades de sommeil et de veille chez les nouveaux-nés prémarturés par évaluation des signaux EEG et ECG." Compiègne, 2001. http://www.theses.fr/2001COMP1337.
Full textHohlefeld, Friederike U. [Verfasser]. "Neural correlates of covert and overt movements investigated by EEG/EMG with implications for brain-computer interfacing / Friederike U. Hohlefeld." Berlin : Freie Universität Berlin, 2011. http://d-nb.info/1025355628/34.
Full textJulås, Daniel. "EKG-Screening för unga idrottare på elitnivå : En systematisk litteraturstudie." Thesis, Högskolan i Halmstad, Sektionen för hälsa och samhälle (HOS), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-23640.
Full textAlbaba, Adnan. "MODEL-BASED ECG ANALYSIS:TOWARDS PATIENT-SPECIFIC WEARABLE ECG MONITORING : MODEL-BASED ECG ANALYSIS:TOWARDS PATIENT-SPECIFIC WEARABLE ECG MONITORING." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-409069.
Full textMedem, Andreas von. "Kündigungsschutz und allgemeines Gleichbehandlungsgesetz : die Integration der Diskriminierungsverbote der Richtlinien 2000/78/EG, 2000/43/EG und 76/207/EWG in das deutsche Kündigungsschutzrecht /." Berlin : Duncker & Humblot, 2008. http://d-nb.info/989741230/04.
Full textMisner, Scottie, and Evelyn Whitmer. "Egg and Egg Product Safety and Quality." College of Agriculture and Life Sciences, University of Arizona (Tucson, AZ), 2008. http://hdl.handle.net/10150/146664.
Full textRevision of 1997 title by Meer and Misner
From 1988 to 1992, 66% of all food-borne illnesses caused by salmonella enteritidis involved eggs or foods containing eggs. Contamination of eggs may occur on the inside as well as the outside of the shell. This article outlines the proper refrigeration, cooking and handling methods to prevent most egg safety problems.