Academic literature on the topic 'Ubiquitous Medicine'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Ubiquitous Medicine.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Journal articles on the topic "Ubiquitous Medicine"
Yoshiuchi, K., M. Sone, T. Ishikawa, H. Kikuchi, H. Kumano, T. Watsuji, B. Natelson, Y. Yamamoto, and Z. Struzik. "“Mobile Nurse” Platform for Ubiquitous Medicine." Methods of Information in Medicine 46, no. 02 (2007): 130–34. http://dx.doi.org/10.1055/s-0038-1625391.
Full textFrisse, M. E. "Ubiquitous computing." Academic Medicine 67, no. 10 (October 1992): 642–4. http://dx.doi.org/10.1097/00001888-199210000-00004.
Full textGrabarczyk, Małgorzata, Katarzyna Wińska, Wanda Mączka, Bartłomiej Potaniec, and Mirosław Anioł. "Loliolide - the most ubiquitous lactone." Folia Biologica et Oecologica 11 (December 30, 2015): 1–8. http://dx.doi.org/10.1515/fobio-2015-0001.
Full textRaymond, Patricia L. "The ubiquitous umbilicus." Postgraduate Medicine 87, no. 2 (February 1990): 175–81. http://dx.doi.org/10.1080/00325481.1990.11704564.
Full textViney, Mark. "In rural Africa, making medicine as ubiquitous as Coke." New Scientist 219, no. 2928 (August 2013): 27. http://dx.doi.org/10.1016/s0262-4079(13)61930-2.
Full textFINN, ROBERT. "Use of Traditional Medicine Appears Ubiquitous Among Chinese Immigrants." Clinical Psychiatry News 34, no. 4 (April 2006): 72. http://dx.doi.org/10.1016/s0270-6644(06)71385-6.
Full textShafer, Steven L. "Plagiarism Is Ubiquitous." Anesthesia & Analgesia 122, no. 6 (June 2016): 1776–80. http://dx.doi.org/10.1213/ane.0000000000001344.
Full textGorstein, Fred. "Ubiquitous smooth muscle cell." Human Pathology 20, no. 11 (November 1989): 1035–36. http://dx.doi.org/10.1016/0046-8177(89)90219-0.
Full textCole, Thomas B. "Violence—Ubiquitous, Threatening, and Preventable." JAMA 280, no. 5 (August 5, 1998): 468. http://dx.doi.org/10.1001/jama.280.5.468.
Full textKreel, L. "Pelvic abscess--the ubiquitous staphylococcus." Postgraduate Medical Journal 63, no. 742 (August 1, 1987): 645–47. http://dx.doi.org/10.1136/pgmj.63.742.645.
Full textDissertations / Theses on the topic "Ubiquitous Medicine"
Rodrigues, Sérgio Luis. "uMED: Uma Arquitetura para Desenvolvimento de Software Direcionada `a Medicina Ubíqua." Universidade Catolica de Pelotas, 2011. http://tede.ucpel.edu.br:8080/jspui/handle/tede/212.
Full textThe ubiquitous medicine has the premisse to provide access to health services at any time, without restriction of location enhancing the mobility of doctors, nurses and other health professionals. These professionals need tools for information access, both at the site where the patient, either in other locations. The aim of this paper is to propose an infrastructure that integrates sensors and computing devices (mobile and fixed), considering the ubiquitous environment provided by a middleware and software architecture with context elements awareness, and also with the capacity acting on them. This architecture is called uMED, and their target applications will include monitoring vital signs of patients considering a typical work environment of staff working in medical emergencies. It is also being made to allow health professionals to remotely control (actuation) medical equipments. From the monitoring and/or actuation features, the intention is to enable an improvement in work routines of health professionals, helping to reduce the high percentage of nomadism and fragmentation of its activities. The uMED architecture is being designed with the perspective of being integrated with middleware EXEHDA. In order to evaluate the software architecture proposed for uMED, was developed a case study aimed at clinical follow-up of patients
A medicina ub´ıqua tem como premissa disponibilizar acesso aos servic¸os de sa´ude a qualquer hora, sem restric¸ oes de localizac¸ ao potencializando a mobilidade de m´edicos, enfermeiros e outros profissionais de sa´ude. Estes profissionais necessitam de ferramentas de acesso `as informac¸ oes, tanto no local onde se encontra o paciente, como n ao. O objetivo central deste trabalho ´e propor uma infraestrutura que integre sensores e dispositivos computacionais (m´oveis e fixos), valendo-se para isto do ambiente ub´ıquo provido por um middleware, e de uma arquitetura de software com sensibilidade para elementos de contexto, e tamb´em com capacidade de atuac¸ ao sobre os mesmos. Esta arquitetura ´e denominada uMED, e suas respectivas aplicac¸ oes alvo ir ao contemplar o monitoramento de sinais vitais de pacientes considerando um ambiente t´ıpico de trabalho das equipes que atuam em urg encias m´edicas. Tamb´em est´a sendo prevista a possibilidade dos profissionais de sa´ude controlarem remotamente (atuac¸ ao) equipamentos m´edicos. A partir das funcionalidades de monitoramento e/ou atuac¸ ao pretende-se possibilitar uma melhora nas rotinas de trabalho dos profissionais de sa´ude, contribuindo para reduzir o elevado percentual de nomadismo e fragmentac¸ ao de suas atividades. A arquitetura do uMED est´a sendo concebida com a perspectiva de ser integrada ao middleware EXEHDA. No sentido de avaliar a arquitetura de software proposta para o uMED, foi desenvolvido um estudo de caso direcionado ao acompanhamento cl´ınico de pacientes
Pittoli, Fábio. "ChronicPrediction: um modelo para prognóstico ubíquo de fatores de risco de doenças crônicas não transmissíveis." Universidade do Vale do Rio dos Sinos, 2015. http://www.repositorio.jesuita.org.br/handle/UNISINOS/3818.
Full textMade available in DSpace on 2015-06-11T18:12:05Z (GMT). No. of bitstreams: 1 Fábio Pittoli_.pdf: 14844169 bytes, checksum: eced950e683430e4d8c741f0429ded20 (MD5) Previous issue date: 2015-03-27
CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
PROSUP - Programa de Suporte à Pós-Gradução de Instituições de Ensino Particulares
A computação ubíqua quando na forma de sistemas ubíquos e utilizados no suporte e cuidado de Doenças Crônicas priorizam o monitoramento do paciente e a geração de diversos tipos de alerta, porém, o suporte à tomada de decisões por parte dos sistemas ubíquos existentes é ainda pouco utilizado em sistemas específicos para o gerenciamento e controle de Doenças Crônicas Não Transmissíveis. Como o cuidado de doença crônica deve ser feito de forma contínua, torna-se importante para o paciente ter um conhecimento prévio sobre o andamento do seu tratamento e se as ações por ele feitas no dia a dia estão lhe ajudando com o tratamento ou não. Como mecanismo de predição, uma das principais técnicas utilizadas atualmente são as Redes Bayesianas. Sendo assim, esta dissertação propõe um modelo computacional ubíquo de prognóstico de fatores de risco de Doenças Crônicas Não Transmissíveis, denominado ChronicPrediction. O modelo ChronicPrediction utiliza Redes Bayesianas criadas a partir do mapeamento de relações de causalidade existentes entre cada um dos fatores de risco da DCNT a qual se deseja observar. Essas relações são definidas a partir de opinião de especialistas ou geradas automaticamente através de dados históricos e com base em dados fornecidos pelos próprios pacientes sobre seus hábitos alimentares diários, rotina de exercícios físicos e a medição de suas taxas. São discutidas também características pertencentes a trabalhos relacionados, além de descrever o modelo em detalhes e apresentar os aspectos considerados no desenvolvimento e avaliação por meio de um protótipo desenvolvido. O processo de avaliação se apresenta na forma de experimentos descritos através de cenários, os quais possuem como objetivo avaliar as hipóteses relacionadas a cada um deles. O ponto inicial para a formulação de cada uma das hipóteses é o fato de que se tem uma ideia de uma causa e o efeito relacionado a ela. Cada um dos cenários visa descrever situações comuns que possam ocorrer durante o dia a dia de pacientes (causas e efeitos) com algum tipo de Doença Crônica Não Transmissível. Além disso, a diversidade entre os cenários torna-se importante para aperfeiçoar a abrangência da avaliação do modelo. Ao efetuar as avaliações conclui-se que o modelo ChronicPrediction amplia as funcionalidades do Modelo UDuctor e do assistente pessoal ChronicDuctor, passando a oferecer suporte a ao monitoramento de múltiplas DCNT simultaneamente, fornecendo feedbacks e recomendações ao paciente com o intuito de ajudá-lo a acompanhar seu tratamento de forma contínua e podendo readequá-lo de forma a promover seu bem-estar e aprimorando sua qualidade de vida.
The ubiquitous computing in the form os ubiquitous systems and used in the support and care of Chronic Diseases prioritize the patient monitoring and the generation of differents alert types, however, the support decision making by the existing ubiquitous systems is still little used on specific systems for the management and control of Chronic Non-Communicable Diseases. As the care of chronic disease should be done continuosly, becomes important for the patient has a prior knowledge about the progress of your treatment and if the actions taken by him in his daily life are helping you with treatment or not. As a predictive mechanism one of the main techniques used nowadays are the Bayesian Networks. Thus, this thesis proposes an ubiquitous computing prognostic model of risk factors of Chronic Noncommunicable Diseases, called ChronicPrediction. The ChronicPrediction model uses Bayesian Networks created from mapping of existing causal relationships between each of the risk factors of NCDs which you wish to observe. These reationships are defined from expert opinion or automatically generated by historical data and based on data provided by patients themselves about their dayli eating habits, exercise routine and the measuring of their rates. Are also discussed characteristics belonging to related work, addition to describing the model in detail and present the aspects considered in developing and evaluating through a prototype. The evaluation process is presented in the form of experiments described through scenarios, which have to evaluate hypotheses realted to each. The starting point for the formulation of each of the hypotheses is the fact that we have an idea of a cause and effect related to it. Each scenario aims to describe common situations that may occur during the daily lives of patients (causes and effects) with some kind of Chronic Non-Communicable Disease. Furthermore, the diversity between the scenarios is important to improve the coverage of the model evaluation. Making the evaluationsit was concluded that the ChronicPrediction model expands the functionality of UDuctor model and the ChronicDuctor personal assistant, offering support to the monitoring of multiple NCDs simultaneously, providing feedbacks and recommendations to the patients in order to help them to monitor their treatment continuously, to modify them in order to promote their well-being and improving their quality of life.
Venecian, Luthiano Rodrigues. "Um Mecanismo de Sensibilidade ao Contexto com Suporte Sem antico para Computac¸ ao Ub´ıqua." Universidade Catolica de Pelotas, 2010. http://tede.ucpel.edu.br:8080/jspui/handle/tede/124.
Full textThis work was aimed at the proposition of a mechanism for context awareness in ubiquitous computing. With technological advances we have smaller and smaller devices and greater computing power and communication which enhances the mobility of the User when carrying their equipment. In this sense, a ubiquitous environment requires the existence of different devices such as sensors, actuators and electronics in general that interact in different ways with users. The diversity of devices and information in a ubiquitous environment as it is, introduces different challenges for interoperability between the different parties involved. Therefore, when building and running applications ubiquitous context-aware, a number of features that should be provided, involving the acquisition of contextual information from the set of heterogeneous sources and distributed to the representation of the information and its processing . With a view to meet these demands of ubiquitous computing, is designed to EXEHDA-SS, to be responsible for processing the contextual information for tasks of manipulation and deduction from the context using ontologies for the representation and processing of contextual information using semantic support
Este trabalho tem como objetivo central a proposic¸ ao de um mecanismo para sensibilidade ao contexto na computac¸ ao ub´ıqua. Com os avanc¸os tecnol´ogicos temos dispositivos cada vez menores e com maior poder de computac¸ ao e comunicac¸ ao o que potencializa a mobilidade do usu´ario quando portando seus equipamentos. Neste sentido, um Ambiente Ub´ıquo pressup oe a exist encia de diferentes dispositivos, tais como sensores, atuadores e eletroeletr onicos em geral que interagem de diferentes maneiras com os usu´arios. A diversidade de dispositivos e informac¸ oes de um Ambiente Ub´ıquo assim constitu´ıdo, introduz diferentes desafios para interoperabilidade entre as diferentes partes envolvidas. Portanto, ao se construir e executar aplicac¸ oes ub´ıquas sens´ıveis ao contexto, h´a uma s´erie de funcionalidades que devem ser providas, envolvendo desde a aquisic¸ ao de informac¸ oes contextuais, a partir do conjunto de fontes heterog eneas e distribu´ıdas, at´e a representac¸ ao dessas informac¸ oes, e seu processamento. Na perspectiva de atender estas demandas da computac¸ ao ub´ıqua, foi concebido o EXEHDA-SS, para ser respons ´avel pelo tratamento das informac¸ oes contextuais, realizando tarefas de manipulac¸ ao e deduc¸ ao sobre o contexto, utilizando ontologias para a representac¸ ao e processamento das informac¸ oes contextuais empregando suporte sem antico .
Brill, Lindsey Nicole Elizabeth. "Ubiquitous mulomedici: the social, economic, and agronomic significance of the veterinarian to the Roman world." Thesis, 2011. http://hdl.handle.net/1828/3717.
Full textGraduate
Ferreira, Javier. "Modular textile-enabled bioimpedance system for personalized health monitoring applications." Doctoral thesis, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-207135.
Full textQC 20170517
Books on the topic "Ubiquitous Medicine"
Tadeusiewicz, Ryszard. Ubiquitous cardiology: Emerging wireless telemedical applications. Hershey, PA: Medical Information Science Reference, 2009.
Find full textPervasive Health Conference and Workshops (2006 Innsbruck, Austria). 2006 Pervasive Health Conference and Workshops: 29 November-1 December 2006, Innsbruck, Austria. Piscataway, NJ: IEEE, 2006.
Find full text(Editor), John Enderle, ed. Image and Signal Processing for Networked eHealth Applications (Synthesis Lectures on Biomedical Engineering). Morgan & Claypool Publishers, 2006.
Find full textDeahl, Lora, and Brenda Wristen. Maximizing Reach and Power. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190616847.003.0006.
Full textStrain, Jay J., Akhil Shenoy, and James J. Strain. An Updated Electronic Health Record (EHR) for Depression Management. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190603342.003.0013.
Full textBian, He. Know Your Remedies. Princeton University Press, 2020. http://dx.doi.org/10.23943/princeton/9780691179049.001.0001.
Full textWouters, Patrick F., Fabio Guarracino, and Manfred Seeberger. Perioperative echocardiography. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198726012.003.0066.
Full textOsterlind, Steven J. The Error of Truth. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198831600.001.0001.
Full textBook chapters on the topic "Ubiquitous Medicine"
Wan, Dadong. "Magic Medicine Cabinet: A Situated Portal for Consumer Healthcare." In Handheld and Ubiquitous Computing, 352–55. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48157-5_44.
Full textBainbridge, William Sims. "ETHICAL CHALLENGES OF UBIQUITOUS HEALTH CARE." In Wireless Computing in Medicine, 473–506. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2016. http://dx.doi.org/10.1002/9781118993620.ch17.
Full textMiller, Clark A., Heather M. Ross, Gaymon Bennett, and J. Benjamin Hurlbut. "THE ETHICS OF UBIQUITOUS COMPUTING IN HEALTH CARE." In Wireless Computing in Medicine, 507–39. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2016. http://dx.doi.org/10.1002/9781118993620.ch18.
Full textOrtiz, Miguel A., and Pedro López-Meza. "Using Computer Simulation to Improve Patient Flow at an Outpatient Internal Medicine Department." In Ubiquitous Computing and Ambient Intelligence, 294–99. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-48746-5_30.
Full textMun, Jongho, Jiseon Yu, Jiye Kim, Hyungkyu Yang, and Dongho Won. "Cryptanalysis of Enhanced Biometric-Based Authentication Scheme for Telecare Medicine Information Systems Using Elliptic Curve Cryptosystem." In Advances in Computer Science and Ubiquitous Computing, 1–6. Singapore: Springer Singapore, 2015. http://dx.doi.org/10.1007/978-981-10-0281-6_1.
Full textBoero, J., W. Qin, J. Cheng, T. A. Woolsey, A. W. Strauss, and Z. Khuchua. "Restricted neuronal expression of ubiquitous mitochondrial creatine kinase: Changing patterns in development and with increased activity." In Guanidino Compounds in Biology and Medicine, 69–76. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0247-0_10.
Full textMunakomi, Sunil, Giovanni Grasso, and Rojeena Chapagain. "Multi-spectral Pattern of Clinical Presentation and the Resultant Outcome in Central Nervous System Tuberculosis: A Single Center Study on the Ubiquitous Pathogen." In Advances in Experimental Medicine and Biology, 29–35. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/5584_2019_466.
Full textKaldoudi, Eleni, Stathis Konstantinidis, and Panagiotis D. Bamidis. "Web 2.0 Approaches for Active, Collaborative Learning in Medicine and Health." In Ubiquitous Health and Medical Informatics, 127–49. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-61520-777-0.ch007.
Full textChorbev, Ivan, and Boban Joksimoski. "An Integrated System for E-Medicine (E-Health, Telemedicine and Medical Expert Systems)." In Ubiquitous Health and Medical Informatics, 104–26. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-61520-777-0.ch006.
Full textRojo, Marcial García, and Christel Daniel. "Digital Pathology and Virtual Microscopy Integration in E-Health Records." In Ubiquitous Health and Medical Informatics, 457–84. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-61520-777-0.ch022.
Full textConference papers on the topic "Ubiquitous Medicine"
Ilkko, Leo, and Jori Karppinen. "UbiPILL A Medicine Dose Controller of Ubiquitous Home Environment." In 2009 Third International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies (UBICOMM). IEEE, 2009. http://dx.doi.org/10.1109/ubicomm.2009.41.
Full textDacso, Clifford. "The new personalized medicine is inexpensive biosensors in a ubiquitous computing environment." In the 1st ACM international workshop. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1540373.1540374.
Full textRodrigues, Sergio, Renato Dilli, Luthiano Venecian, Adenauer Yamin, Cristiano Costa, Jorge Barbosa, Joao Lopes, Rodrigo Souza, and Cl´udio Geyer. "A Semantic-Based Software Architecture for Processing Context Information in Ubiquitous Medicine." In 2011 Simpasio em Sistemas Computacionais (WSCAD-SSC). IEEE, 2011. http://dx.doi.org/10.1109/wscad-ssc.2011.26.
Full textLee, Tae-Soo, Joo-Hyun Hong, and Myeong-Chan Cho. "Biomedical Digital Assistant for Ubiquitous Healthcare." In 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2007. http://dx.doi.org/10.1109/iembs.2007.4352659.
Full textWu, Zhen-Yu, Tzer-Long Chen, Sung-Chiang Lin, and Charlotte Wang. "A Secure RFID Authentication Scheme for Medicine Applications." In 2013 Seventh International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS). IEEE, 2013. http://dx.doi.org/10.1109/imis.2013.37.
Full textFengou, M., G. Mantas, and D. Lymberopoulos. "Group profile management in ubiquitous healthcare environment." In 2012 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2012. http://dx.doi.org/10.1109/embc.2012.6346379.
Full textKwang Suk Park. "Nonintrusive measurement of biological signals for ubiquitous healthcare." In 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2009. http://dx.doi.org/10.1109/iembs.2009.5334000.
Full textSuzuki, T., and Y. Nakauchi. "Dosing monitoring system using iMec and ubiquitous sensors." In 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2009. http://dx.doi.org/10.1109/iembs.2009.5334590.
Full textFarooq, U., Dae-Geun Jang, Jang-Ho Park, and Seung-Hun Park. "PPG delineator for real-time ubiquitous applications." In 2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2010). IEEE, 2010. http://dx.doi.org/10.1109/iembs.2010.5626023.
Full textKang, Dong-Oh, Hyung-Jik Lee, Eun-Jung Ko, Kyuchang Kang, and Jeunwoo Lee. "A Wearable Context Aware System for Ubiquitous Healthcare." In Conference Proceedings. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2006. http://dx.doi.org/10.1109/iembs.2006.259538.
Full text