981 resultados para Android Arduino ECG


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Nell’ambito della sterilizzazione da agenti patogeni, l’ozono riveste un ruolo fondamentale grazie al suo grande potere ossidante ed è di fondamentale importanza misurare quanto ozono viene prodotto mediante una scarica DBD. Scopo di questa tesi è stato quello di realizzare un sensore dedicato alla misurazione della concentrazione di ozono, controllato da Arduino Uno. Il setup realizzato risulta economico, facilmente trasportabile e flessibile in quanto è utilizzabile in diverse modalità: è possibile salvare i dati tramite Arduino per elaborarli successivamente; permette di collegare l’uscita all’oscilloscopio per monitorare i segnali elettrici nel tempo; consente di leggere la concentrazione di ozono misurata real-time su display lcd. Infine sono state effettuati dei confronti tra il setup attualmente presente in laboratorio e il setup realizzato, e i risultati sono stati soddisfacenti.

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La tesi prevede lo sviluppo di una app di ausilio per persone non vedenti per ambiente Android. L'applicazione ha due scopi principali: rilevazione degli ostacoli che l'utente incontra nel proprio cammino, tramite un apposito visore, con successivo invio di informazioni sugli ostacoli rilevati tramite output audio e tattili e realizzazione di una versione personalizzata di Google Maps che l'utente può utilizzare nella maniera più comoda e sicura possibile.

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In cardiovascular disease the definition and the detection of the ECG parameters related to repolarization dynamics in post MI patients is still a crucial unmet need. In addition, the use of a 3D sensor in the implantable medical devices would be a crucial mean in the assessment or prediction of Heart Failure status, but the inclusion of such feature is limited by hardware and firmware constraints. The aim of this thesis is the definition of a reliable surrogate of the 500 Hz ECG signal to reach the aforementioned objective. To evaluate the worsening of reliability due to sampling frequency reduction on delineation performance, the signals have been consecutively down sampled by a factor 2, 4, 8 thus obtaining the ECG signals sampled at 250, 125 and 62.5 Hz, respectively. The final goal is the feasibility assessment of the detection of the fiducial points in order to translate those parameters into meaningful clinical parameter for Heart Failure prediction, such as T waves intervals heterogeneity and variability of areas under T waves. An experimental setting for data collection on healthy volunteers has been set up at the Bakken Research Center in Maastricht. A 16 – channel ambulatory system, provided by TMSI, has recorded the standard 12 – Leads ECG, two 3D accelerometers and a respiration sensor. The collection platform has been set up by the TMSI property software Polybench, the data analysis of such signals has been performed with Matlab. The main results of this study show that the 125 Hz sampling rate has demonstrated to be a good candidate for a reliable detection of fiducial points. T wave intervals proved to be consistently stable, even at 62.5 Hz. Further studies would be needed to provide a better comparison between sampling at 250 Hz and 125 Hz for areas under the T waves.

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Programa de doctorado: Tecnología de la Información y sus aplicaciones. La fecha de publicación es la fecha de lectura

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Nowadays there is almost no crime committed without a trace of digital evidence, and since the advanced functionality of mobile devices today can be exploited to assist in crime, the need for mobile forensics is imperative. Many of the mobile applications available today, including internet browsers, will request the user’s permission to access their current location when in use. This geolocation data is subsequently stored and managed by that application's underlying database files. If recovered from a device during a forensic investigation, such GPS evidence and track points could hold major evidentiary value for a case. The aim of this paper is to examine and compare to what extent geolocation data is available from the iOS and Android operating systems. We focus particularly on geolocation data recovered from internet browsing applications, comparing the native Safari and Browser apps with Google Chrome, downloaded on to both platforms. All browsers were used over a period of several days at various locations to generate comparable test data for analysis. Results show considerable differences not only in the storage locations and formats, but also in the amount of geolocation data stored by different browsers and on different operating systems.

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Following a drop in estrogen in the period of menopause some women begin to lose bone mass more than 1% per year reaching the end of five years with loss greater than 25%. In this regard, factors such as older age, low calcium intake and premature menopause favor the onset of osteoporosis. Preventive methods such as nutritional counseling to a proper diet and the support of technology through applications that assess dietary intake are essential. Thus, this study aimed to develop an application for Android® platform focused on the evaluation of nutritional and organic conditions involved in bone health and risks for developing osteoporosis in postmenopausal women. To achieve this goal we proceeded to a study of 72 women aged 46-79 years, from the physical exercise for bone health of the Laboratory for Research in Biochemistry and Densitometry the Federal Technological University of Paraná program. Data were collected in the second half of 2014 through tests Bone Densitometry and Body Composition, Blood Tests, Anthropometric data and Nutrition Assessment. The study included women with a current diagnosis of osteopenia or osteoporosis primary, aged more than 45 years postmenopausal. For the assessment of bone mineral density and body composition used the device Absorptiometry Dual Energy X-ray (DXA) brand Hologic Discovery TM Model A. For anthropometric assessment was included to body mass, height, abdominal circumference, Waist circumference and hip circumference. The instrument for assessing food consumption was used Recall 24 hours a day (24HR). The estimated intake of energy and nutrients was carried from the tabulation of the food eaten in the Software Diet Pro 4®. In a sub sample of 30 women with osteopenia / osteoporosis serum calcium and alkaline phosphatase tests were performed. The results demonstrated a group of women (n = 30) average calcium intake of 570mg / day (± 340). The analysis showed a mean serum calcium within the normal range (10,20mg / dl ± 0.32) and average values and slightly increased alkaline phosphatase (105.40 U / L ± 23.70). Furthermore, there was a significant correlation between the consumption of protein and the optimal daily intake of calcium (0.375 p-value 0.05). Based on these findings, we developed an application early stage in Android® platform operating system Google®, being called OsteoNutri. We chose to use Java Eclipse® where it was executed Android® version of the project; choice of application icons and setting the visual editor for building the application layouts. The DroidDraw® was used for development of the three application GUIs. For practical tests we used a cell compatible with the version that was created (4.4 or higher). The prototype was developed in conjunction with the Group and Instrumentation Applications Development (GDAI) of the Federal Technological University of Paraná. So this application can be considered an important tool in dietary control, allowing closer control consumption of calcium and dietary proteins.

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Resumen: En el siguiente trabajo se aborda un problema para solventar la comunicación con los robots del departamento MAPIR de la Universidad de Málaga, anteriormente sólo podían ser teleoperados mediante comandos escritos en Skype, así que se procede a diseñar un cliente móvil para Android que nos permite conectarse en tiempo real a un robot, obtener la imagen de lo que su cámara capta y además permitir su teleoperación. Por su parte, el robot corre un servidor que administra esos datos al cliente para trabajar conjuntamente. Dicho trabajo se desarrolla haciendo uso de nuevas tecnologias y protocolos como es WebRTC (de Google) para el intercambio de imágenes y del lado del servidor, se ha usado NodeJS.

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La aplicación Control Camera IP, desarrolla como Proyecto Fin de Carrera en la ETS. De Ingeniería Informática de la Universidad de Málaga, fue concebida como una interfaz de usuario para la monitorización y control de cámaras IP de forma remota, pudiendo ésta ejecutarse en diferentes plataformas, incluyendo dispositivos móviles con sistemas Android. En aquel momento sin embargo, las plataformas Android no disponían de una librería oficial dentro del marco de la herramienta de desarrollo utilizada (la biblioteca de desarrollo multiplataforma Qt), por lo que fue utilizada una versión alternativa no oficial denominada Necessitas Qt for Android. Hoy, con la versión 5 de Qt, existe la posibilidad de dar soporte a las plataformas Android de forma oficial, por lo que es posible adaptar la aplicación a esta nueva versión. En este Trabajo Fin de Grado, se ha adaptado la aplicación Control Camera IP a la versión 5 de Qt, logrando así crear plataformas para dispositivos Android de forma oficial. Además, se hace uso de la biblioteca OpenCV para el desarrollo de varios métodos de procesamiento sobre la imagen recibida por la cámara IP, así como algoritmos de detección de movimiento y de caras de personas, haciendo uso de técnicas de visión por computador. Finalmente, se introduce la posibilidad de utilizar APIs estandarizadas para la conectividad de la aplicación con cámaras IP de bajo coste, adaptando algunas de sus funciones a la aplicación Control Camera IP.

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É crescente a utilização dos dispositivos móveis com ecrãs maiores e melhores, mais memória, maiores capacidades multimédia e métodos mais refinados para introduzir dados. Dispositivos que integram comunicações, acesso à internet e diversos tipos de sensores possibilitarão, seguramente, abordagens inovadoras e criativas em atividades pedagógicas, em contraste com as utilizações atuais nos computadores pessoais. A análise das aplicações que atualmente integram os módulos do Moodle nos dispositivos móveis mostra que existe ainda um longo caminho a percorrer. As aplicações existentes têm, quase na sua totalidade, como objetivo adaptar o interface aos dispositivos móveis, o que é apenas o primeiro passo no sentido de aproveitar todas as potencialidades destes dispositivos. É, pois, possível imaginar um futuro próximo, onde as potencialidades dos dispositivos móveis darão origem a aplicações com um enorme potencial de aprendizagem, que advém do facto de os estudantes encontrarem conexões entre as suas vidas e a sua educação, através da realização de atividades em contexto no dispositivo móvel, sempre omnipresente. Com este trabalho de investigação e desenvolvimento pretende-se: a) avaliar o estado da arte do mobile learning, na área dos Learning Management System (LMS); b) refletir sobre as funcionalidades que deve oferecer uma aplicação para dispositivos móveis, com enfoque no sistema operativo Android, que permita a gestão e atualização dos fóruns e ficheiros do Moodle; c) conceber e produzir a referida aplicação, de acordo com as especificações consideradas relevantes; d) avaliar o seu impacto educativo e funcional. É demonstrado neste estudo que o recurso a dispositivos móveis potencia a aprendizagem baseada em LMS (Learning Management System), identificando-se as vantagens da sua utilização. São também apresentadas as funcionalidades da aplicação Mais(f), desenvolvida no âmbito da investigação, a avaliação da mesma pelos participantes no estudo, bem como as perspectivas futuras de utilização da aplicação Mais(f).

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Purpose: Nurse ability to recognise patient arrhythmias could contribute to preventing in-hospital cardiac arrest. Research suggests that nurses and nursing students lack competence in electrocardiogram (ECG) interpretation. The aim of this study was to compare the effects of two training strategies on nursing students’ acquisition of competence in ECG interpretation. Materials and methods: A controlled randomised trial with 98 nursing students. Divided in groups of 12–16, participants were randomly allocated to one of the following 3-h teaching intervention groups: 1) traditional instructor-led (TILG), and 2) flipped classroom (FCG). Participants’ competence in ECG interpretation was measured in terms of knowledge (%), skills (%) and self-efficacy (%) using a specifically designed and previously validated toolkit at pre-test and post-test. Two-way MANOVA explored the interaction effect between ‘teaching group’ and ‘time of assessment’ and its impact on participants’ competence. Within-group differences at pre-test and post-test were explored by carrying out paired t-tests. Between-group differences at pre- and post-test were examined by performing independent t-test analysis. Results: There was a statistically significant interaction effect between ‘teaching group’ and ‘time of assessment’ on participants’ competence in ECG interpretation (F(3,190) = 86.541, p = 0.001; Wilks’ Λ = 0.423). At pre-test, differences in knowledge (TILG = 35.12 ± 12.07; FCG = 35.66 ± 10.66), skills (TILG = 14.05 ± 10.37; FCG = 14.82 ± 14.14), self-efficacy (TILG = 46.22 ± 23.78; FCG = 40.01 ± 21.77) and all other variables were non-significant (p > 0.05). At post-test, knowledge (TILG = 55.12 ± 14.16; FCG = 94.2 ± 7.31), skills (TILG = 36.90 ± 16.45; FCG = 86.43 ± 14.32) and self-efficacy (TILG = 70.78 ± 14.55; FCG = 79.98 ± 10.35) had significantly improved, regardless of the training received (p < 0.05). Nonetheless, participants in the FCG scored significantly higher than participants in the TILG in knowledge, skills and self-efficacy (p < 0.05). Conclusion: Flipping the classroom for teaching ECG interpretation to nursing students may be more effective than using a traditional instructor-led approach in terms of immediate acquisition of competence in terms of knowledge, skills and self-efficacy. Further research on the effects of both teaching strategies on the retention of the competence will be undertaken.

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El trabajo de fin de grado consiste en realizar una aplicación móvil basada en Android [7]. Para calcular la ruta más sombreada desde un punto de origen a un punto de destino. Dicha aplicación móvil realizará peticiones a un servidor que estará ejecutando un programa que realizará el cálculo de rutas conforme a los parámetros que elegirá el usuario desde su móvil. Estos parámetros pueden ser: la hora de partida, la fecha y la importancia de la sombra a la hora de calcular la ruta. Siempre podremos elegir entre una ruta más corta o una más sombreada, según la importancia que le quiera dar el usuario. La lógica de la aplicación del lado del servidor que realiza el cálculo está basada en Open- TripPlanner, el cual usa algoritmos de búsqueda para encontrar el camino más corto. Sirviéndonos de dicho algoritmo realizaremos las modificaciones e implementaciones necesarias para calcular la ruta más sombreada.

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In this paper, a tool to improve vocal tuning in Android devices is presented. This application aims to offer exercises to practice and improve singing skills. The designed tool includes two main functionalities: sound synthesis, to provide with singing sound references, and fundamental frequency analysis, to analize the sound and check if the user sings the right musical note. The well-known Yin algorithm has been selected to perform the fundamental frequency analysis. Three different singing exercises are included: sing single notes, sing intervals and sing a note in order to complete a chord. The system also includes a graphical interface in which musical notation is employed to write down the singing sound. The system has been evaluated in order to test out its correct performance regarding both the analysis and synthesis of musical sounds.