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Artykuły w czasopismach na temat "Patient monitoring"
Palkhede, Nakul S., Sachin D. Mali i Prof Manisha S. Shelar. "IoT Based Patient Monitoring". International Journal of Trend in Scientific Research and Development Volume-2, Issue-4 (30.06.2018): 971–75. http://dx.doi.org/10.31142/ijtsrd14216.
Pełny tekst źródłaKumaran M, Senthil, Chittoria R.K, Bibilash B.S., Friji M.T, Mohapatra D.P. i Dineshkumar S. "Tele-Monitoring of Patient in ICU". New Indian Journal of Surgery 8, nr 3 (2017): 445–47. http://dx.doi.org/10.21088/nijs.0976.4747.8317.28.
Pełny tekst źródłaMorton, Anthony. "PATIENT MONITORING". Australian and New Zealand Journal of Surgery 46, nr 4 (21.01.2008): 304–9. http://dx.doi.org/10.1111/j.1445-2197.1976.tb03238.x.
Pełny tekst źródłaEmmett, C., i P. Hutton. "Patient monitoring". British Medical Bulletin 44, nr 2 (1988): 302–21. http://dx.doi.org/10.1093/oxfordjournals.bmb.a072253.
Pełny tekst źródłaLakshmi, Ms M., Sai Sri Gaddala, Sandhya Rani Konda, Sahithi Gaja i Spoorthi Begari. "Remote Monitoring of Heart Patient with Auto Defibrillator". International Journal of Research Publication and Reviews 5, nr 5 (2.05.2024): 1010–19. http://dx.doi.org/10.55248/gengpi.5.0524.1120.
Pełny tekst źródłaSukuvaara, T., A. Heikelä, EMJ Koskp, H. Nieminen i M. Sydänmaa. "Computerized patient monitoring". Acta Anaesthesiologica Scandinavica 37 (grudzień 1993): 185–89. http://dx.doi.org/10.1111/j.1399-6576.1993.tb03672.x.
Pełny tekst źródłaDoss, Marilyn C., i John W. Waterbor. "Monitoring Patient Satisfaction". Oncology Issues 10, nr 5 (wrzesień 1995): 16–18. http://dx.doi.org/10.1080/10463356.1995.11904559.
Pełny tekst źródłaMalone, Mary P., i Elizabeth L. Pollock. "Monitoring Patient Satisfaction". Oncology Issues 10, nr 5 (wrzesień 1995): 19–21. http://dx.doi.org/10.1080/10463356.1995.11904560.
Pełny tekst źródłaJenner, C. A., i J. A. Wilson. "Continuous patient monitoring". Anaesthesia 56, nr 6 (czerwiec 2001): 591–92. http://dx.doi.org/10.1111/j.1365-2044.2001.2094-12.x.
Pełny tekst źródłaChishti, Ahmed, i Iain A. Walker. "Patient monitoring techniques". Surgery (Oxford) 37, nr 8 (sierpień 2019): 450–59. http://dx.doi.org/10.1016/j.mpsur.2019.05.002.
Pełny tekst źródłaRozprawy doktorskie na temat "Patient monitoring"
Syed, Muhammad Yasir Jafri. "IP BASED PATIENT MONITORING SYSTEMS". Thesis, Högskolan i Borås, Institutionen Ingenjörshögskolan, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-19797.
Pełny tekst źródłaJasti, Madhu Narasimha Rao. "IoT based remote patient health monitoring system". Kansas State University, 2017. http://hdl.handle.net/2097/38268.
Pełny tekst źródłaDepartment of Computer Science
Daniel A. Andresen
With an improvement in technology and miniaturization of sensors, there have been attempts to utilize the new technology in various areas to improve the quality of human life. One main area of research that has seen an adoption of the technology is the healthcare sector. The people in need of healthcare services find it very expensive this is particularly true in developing countries. As a result, this project is an attempt to solve a healthcare problem currently society is facing. The main objective of the project was to design a remote healthcare system. It’s comprised of three main parts. The first part being, detection of patient’s vitals using sensors, second for sending data to cloud storage and the last part was providing the detected data for remote viewing. Remote viewing of the data enables a doctor or guardian to monitor a patient’s health progress away from hospital premises. The Internet of Things (IoT) concepts have been widely used to interconnect the available medical resources and offer smart, reliable, and effective healthcare service to the patients. Health monitoring for active and assisted living is one of the paradigms that can use the IoT advantages to improve the patient’s lifestyle. In this project, I have presented an IoT architecture customized for healthcare applications. The aim of the project was to come up with a Remote Health Monitoring System that can be made with locally available sensors with a view to making it affordable if it were to be mass produced. Hence the proposed architecture collects the sensor data through Arduino microcontroller and relays it to the cloud where it is processed and analyzed for remote viewing. Feedback actions based on the analyzed data can be sent back to the doctor or guardian through Email and/or SMS alerts in case of any emergencies.
ALMEIDA, VITOR PINHEIRO DE. "PATIENT-BUDDY-BUILD: CUSTOMIZED MOBILE MONITORING FOR PATIENTS WITH CHRONIC DISEASES". PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2013. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=28691@1.
Pełny tekst źródłaCOORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
PROGRAMA DE EXCELENCIA ACADEMICA
Este trabalho consiste do desenvolvimento de uma ferramenta para a geração de aplicativos móveis, que possibilita um monitoramento customizado, para o acompanhamento à distância de pacientes com doenças crônicas. A customização ocorre a partir de parâmetros e descrições formais, tais como: preferências do paciente, tipo da doença crônica, processo de acompanhamento desejado pelo seu médico, medicação prescrita e dados sobre o contexto (o entorno) do paciente, estes últimos obtidos de sensores. Com base nestes dados, o sistema irá determinar quais informações são mais relevantes para serem adquiridas do paciente através de questionários ou de sensores disponíveis no dispositivo móvel. Informações relevantes são informações que melhor ajudam a identificar possíveis alterações no processo de monitoramento de um paciente. Estas informações serão enviadas pelo dispositivo móvel, juntamente com os dados dos sensores, para o médico responsável. O processo de acompanhamento médico e a natureza da doença crônica definir ao o conjunto de informações que serão coletadas. É importante ressaltar que o objetivo não é realizar diagnósticos, mas sim, prover informações atualizadas aos médicos sobre os seu pacientes, possibilitando assim, realizar um acompanhamento preventivo à distância.
This thesis consists of the development of a tool for generating mobile applications that enables a customized form of remote monitoring of patients with chronic diseases. The customization is based on parameters and formal descriptions of patient preferences, the type of chronic disease, monitoring procedure required by the doctor, prescribed medication and information about the context (i.e. environment) of the patient, where the later is to be obtained from sensors. Bases on this data, the system will determine which information are more relevant to be acquired from the patient through questionnaires and sensors embedded or connected to the smart phone. Relevant information are information that best helps to identify possible changes in the monitoring process of a patient. This set of information will be sent by the mobile application to the responsible physician. The medical treatment and the kind of chronic disease will define the set of information to be collected. It should be stressed that the goal is not to support automatic diagnosis, but only to provide means for physicians to obtain updated information about their patients, so as to allow remote monitoring of patients.
Albaba, 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.
Pełny tekst źródłaBrouse, Christopher J. "Algorithms & software for intelligent patient monitoring". Thesis, University of British Columbia, 2007. http://hdl.handle.net/2429/31437.
Pełny tekst źródłaApplied Science, Faculty of
Electrical and Computer Engineering, Department of
Graduate
Best, Nicola Grace. "Dynamic models for post-transplant patient monitoring". Thesis, University of Cambridge, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.321024.
Pełny tekst źródłaOtine, Charles. "HIV Patient Monitoring Framework Through Knowledge Engineering". Doctoral thesis, Blekinge Tekniska Högskola [bth.se], School of Planning and Media Design, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-00540.
Pełny tekst źródłaStanford, Maura Marisela. "Reducing Patient Falls and Decreasing Patient Safety Attendant Utilization With CareView Communication Technology". ScholarWorks, 2019. https://scholarworks.waldenu.edu/dissertations/7081.
Pełny tekst źródłaLiu, Y. "Wireless remote patient monitoring on general hospital wards". Thesis, Bournemouth University, 2010. http://eprints.bournemouth.ac.uk/17508/.
Pełny tekst źródłaWatman, Geoffrey P. "Pharmacist monitoring of patient health in the community". Thesis, Aston University, 1996. http://publications.aston.ac.uk/10935/.
Pełny tekst źródłaKsiążki na temat "Patient monitoring"
McWilliams, Andrew. Patient monitoring devices. Norwalk, CT: Business Communications Co., 2003.
Znajdź pełny tekst źródłaJevon, Philip, Beverley Ewens i Jagtar Singh Pooni, red. Monitoring the Critically III Patient. West Sussex, UK: John Wiley & Sons, Ltd,., 2012. http://dx.doi.org/10.1002/9781118702932.
Pełny tekst źródłaInc, Biomedical Business International, red. Patient monitoring disposables and equipment. Wyd. 3. Tustin, CA, U.S.A. (17722 Irvine Blvd., Tustin 92680): Biomedical Business International, 1987.
Znajdź pełny tekst źródłaSteinberg, Jonathan S., i Suneet Mittal. Remote patient monitoring in cardiology. New York, NY: Demos, 2012.
Znajdź pełny tekst źródłaBeverley, Ewens, red. Monitoring the critically ill patient. Wyd. 3. Chichester, West Sussex: Wiley-Blackwell, 2012.
Znajdź pełny tekst źródłaPhilip, Jevon, i Ewens Beverley, red. Monitoring the critically ill patient. Oxford: Blackwell Science, 2002.
Znajdź pełny tekst źródłaRainbow, Carole. Monitoring the critically ill patient: Patient problems and nursing care. Oxford: Heinemann Nursing, 1989.
Znajdź pełny tekst źródłaNational Cholesterol Education Program (U.S.) i Working Group on Management of Patients with Hypertension and High Blood Cholesterol, red. Working group report on management of patients with hypertension and high blood cholesterol. Bethesda, Md.?]: U.S. Department of Health and Human Services, Public Health Service, National Institutes of Health, National Heart, Lung, and Blood Institute, 1990.
Znajdź pełny tekst źródłaDr, Gibson Peter, red. Monitoring asthma. Boca Raton: Taylor & Francis, 2005.
Znajdź pełny tekst źródłaGarry, John W., red. Monitoring glycaemic control in the diabetic patient. London: Harcourt Health Communications, 2001.
Znajdź pełny tekst źródłaCzęści książek na temat "Patient monitoring"
Grable, Benjamin, i Theresa A. Gelzinis. "Patient Monitoring". W Basic Clinical Anesthesia, 69–88. New York, NY: Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4939-1737-2_6.
Pełny tekst źródłaLupu, Robert G., Andrei Stan i Florina Ungureanu. "Patient Monitoring: Wearable Device for Patient Monitoring". W Lecture Notes in Electrical Engineering, 659–68. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-2311-7_56.
Pełny tekst źródłaGardner, Reed M., Terry P. Clemmer, R. Scott Evans i Roger G. Mark. "Patient Monitoring Systems". W Biomedical Informatics, 561–91. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4474-8_19.
Pełny tekst źródłaGardner, Reed M., i M. Michael Shabot. "Patient-Monitoring Systems". W Medical Informatics, 443–84. New York, NY: Springer New York, 2001. http://dx.doi.org/10.1007/978-0-387-21721-5_13.
Pełny tekst źródłaRott, Hannelore, i Theodor Koschinsky. "Patient self-monitoring". W Point-of-Care Testing, 319–25. Berlin, Heidelberg: Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-662-54497-6_33.
Pełny tekst źródłaGardner, Reed M., i M. Michael Shabot. "Patient-Monitoring Systems". W Health Informatics, 585–625. New York, NY: Springer New York, 2006. http://dx.doi.org/10.1007/0-387-36278-9_17.
Pełny tekst źródłaAnand, Darpan, Gurpreet Singh i Vishan Kumar Gupta. "Remote Patient Monitoring". W Handbook on Augmenting Telehealth Services, 213–32. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003346289-13.
Pełny tekst źródłaBaura, Gail. "Patient Monitoring Devices". W Biosystems Approach to Industrial Patient Monitoring and Diagnostic Devices, A, 53–79. Cham: Springer International Publishing, 2008. http://dx.doi.org/10.1007/978-3-031-01625-7_3.
Pełny tekst źródłaHerasevich, Vitaly, Brian W. Pickering, Terry P. Clemmer i Roger G. Mark. "Patient Monitoring Systems". W Biomedical Informatics, 693–732. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-58721-5_21.
Pełny tekst źródłaVan de Velde, Rudi. "Patient Monitoring Systems". W Hospital Information Systems — The Next Generation, 267–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-77617-5_25.
Pełny tekst źródłaStreszczenia konferencji na temat "Patient monitoring"
Lee, Sunghoon Ivan, Hassan Ghasemzadeh, Bobak Mortazavi, Mars Lan, Nabil Alshurafa, Michael Ong i Majid Sarrafzadeh. "Remote patient monitoring". W the 4th Conference. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2534088.2534108.
Pełny tekst źródłaDiwakar, Deep, Vipul Vaibhav i Sudipta Majumdar. "Patient Monitoring System". W 2021 2nd International Conference for Emerging Technology (INCET). IEEE, 2021. http://dx.doi.org/10.1109/incet51464.2021.9456363.
Pełny tekst źródłaDeshmukh, Shubham L., Favin Fernandes, Sakshi Kulkarni, Aniket Patil, Vaishali Jabade i Jyoti Madake. "Patient Monitoring System". W 2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon). IEEE, 2022. http://dx.doi.org/10.1109/mysurucon55714.2022.9972563.
Pełny tekst źródłaMegalingam, Rajesh Kannan, Divya M. Kaimal i Maneesha V. Ramesh. "Efficient Patient Monitoring for Multiple Patients Using WSN". W 2012 International Conference on Advances in Mobile Network, Communication and its Applications (MNCAPPS). IEEE, 2012. http://dx.doi.org/10.1109/mncapps.2012.23.
Pełny tekst źródłaDanoff, S. K., W. Tang, S. C. Mathai, M. C. Mccormack, A. Balasubramanian, B. Seth, M. Hill, T. Mao, Z. Hornberger i J. Smith. "Remote Patient Monitoring of ILD Patients Using Oxygen". W American Thoracic Society 2024 International Conference, May 17-22, 2024 - San Diego, CA. American Thoracic Society, 2024. http://dx.doi.org/10.1164/ajrccm-conference.2024.209.1_meetingabstracts.a1793.
Pełny tekst źródłaKhan, Dodo, Low Tan Jung, Manzoor Ahmed Hashmani i Moke Kwai Cheong. "Blockchain Enabled Diabetic Patients’ Data Sharing and Real Time Monitoring". W 11th International Conference on Embedded Systems and Applications (EMSA 2022). Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.120620.
Pełny tekst źródłaNeves, Sandra, Vera Oliveira i Maria Guarino. "Using Co-Design Methods to Develop a Patient Monitoring System in Hospital Emergency Care to Support Patient Safety". W 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001405.
Pełny tekst źródłaBell, Alexsis, Paul Rogers, Chris Farnell, Brett Sparkman i Scott C. Smith. "Wireless patient monitoring system". W 2014 Health Innovations and POCT. IEEE, 2014. http://dx.doi.org/10.1109/hic.2014.7038896.
Pełny tekst źródłaGhosh, Arijit, Subhajit Aich, Ayan Kumar Ghosh, Pratim Das, Saikat Mahato i Asit Dey. "Patient health monitoring system". W 2016 International Conference on Intelligent Control Power and Instrumentation (ICICPI). IEEE, 2016. http://dx.doi.org/10.1109/icicpi.2016.7859685.
Pełny tekst źródłaTan, Li Tung, Raihanah Syamimi Mohammad Shahrizal, Muhammad Naqib'Aqil Mohd Nadzri, Norashikin Yahya i Suhaila Badarol Hisham. "Remote Patient Monitoring System". W 2022 IEEE 5th International Symposium in Robotics and Manufacturing Automation (ROMA). IEEE, 2022. http://dx.doi.org/10.1109/roma55875.2022.9915658.
Pełny tekst źródłaRaporty organizacyjne na temat "Patient monitoring"
Pritchard, Nigel D. Tempus Pro Patient Monitoring System. Fort Belvoir, VA: Defense Technical Information Center, kwiecień 2015. http://dx.doi.org/10.21236/ada615472.
Pełny tekst źródłaCawthra, Jennifer, Nakia Grayson, Ronald Pulivarti, Bronwyn Hodges, Jason Kuruvilla, Kevin Littlefield, Julie Snyder, Sue Wang, Ryan Williams i Kangmin Zheng. Securing Telehealth Remote Patient Monitoring Ecosystem. National Institute of Standards and Technology, luty 2022. http://dx.doi.org/10.6028/nist.sp.1800-30.
Pełny tekst źródłaChaparadza, Diana. An Analysis of Patient-Generated Health Data in Assisting Nurses and Physicians to Better Treat Patients with Hypertension. University of Tennessee Health Science Center, listopad 2020. http://dx.doi.org/10.21007/chp.hiim.0080.
Pełny tekst źródłaDonahue, Katrina, Laura Young, John Buse, Mark Weaver, Maihan Vu, C. Madeline Mitchell, Tamara Blakeney, Kimberlea Grimm, Jennifer Rees i Franklin Niblock. Effect of Glucose Monitoring on Patient and Provider Outcomes in Non-Insulin Treated Diabetes. Patient-Centered Outcomes Research Institute (PCORI), marzec 2018. http://dx.doi.org/10.25302/3.2018.ce.12114980.
Pełny tekst źródłaSadeghsalehi, Hamidreza, Parinaz Onikzeh, Afshin Heidari, Aida Kazemi, Parisa Najjariasl, Kamran Dalvandi i Hadi Zamanian. Application of smartphone apps in assessment after spine surgeries: a systematic review protocol. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, październik 2021. http://dx.doi.org/10.37766/inplasy2021.10.0054.
Pełny tekst źródłaAlanazi, Hamad. Exploring Policies and Strategies for the Diffusion of Remote Patient Monitoring (RPM) for the Care of Senior Population. Portland State University Library, styczeń 2000. http://dx.doi.org/10.15760/etd.7379.
Pełny tekst źródłaHamlin, Alexandra, Erik Kobylarz, James Lever, Susan Taylor i Laura Ray. Assessing the feasibility of detecting epileptic seizures using non-cerebral sensor. Engineer Research and Development Center (U.S.), grudzień 2021. http://dx.doi.org/10.21079/11681/42562.
Pełny tekst źródłaWan, Huipeng, Hui Xu, Zixuan Wang, Peng Yu i Xiao Liu. The impact of telehealth remote patient monitoring on glycemic control in type 2diabetes: an updated meta-analysis of randomised controlled trials. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, maj 2022. http://dx.doi.org/10.37766/inplasy2022.5.0001.
Pełny tekst źródłaBoyes, Allison, Jamie Bryant, Alix Hall i Elise Mansfield. Barriers and enablers for older people at risk of and/or living with cancer to accessing timely cancer screening, diagnosis and treatment. The Sax Institute, lipiec 2022. http://dx.doi.org/10.57022/ieoy3254.
Pełny tekst źródłaSmall Lung Nodule Volume Assessment and Monitoring in Low Dose CT Screening, Clinically Feasible Profile. Chair Artit Jirapatnakul, James Mulshine i Kyle Myers. Radiological Society of North America (RSNA) / Quantitative Imaging Biomarkers Alliance (QIBA), grudzień 2023. http://dx.doi.org/10.1148/qiba/20231219.
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