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Relevant bibliographies by topics / Patient monitoring

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Journal articles
Dissertations / Theses
Books
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Academic literature on the topic 'Patient monitoring'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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Journal articles on the topic "Patient monitoring"

1

Palkhede, Nakul S., Sachin D. Mali, and Prof Manisha S. Shelar. "IoT Based Patient Monitoring." International Journal of Trend in Scientific Research and Development Volume-2, Issue-4 (2018): 971–75. http://dx.doi.org/10.31142/ijtsrd14216.

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Kumaran M, Senthil, Chittoria R.K, Bibilash B.S., Friji M.T, Mohapatra D.P., and Dineshkumar S. "Tele-Monitoring of Patient in ICU." New Indian Journal of Surgery 8, no. 3 (2017): 445–47. http://dx.doi.org/10.21088/nijs.0976.4747.8317.28.

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Morton, Anthony. "PATIENT MONITORING." Australian and New Zealand Journal of Surgery 46, no. 4 (2008): 304–9. http://dx.doi.org/10.1111/j.1445-2197.1976.tb03238.x.

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Emmett, C., and P. Hutton. "Patient monitoring." British Medical Bulletin 44, no. 2 (1988): 302–21. http://dx.doi.org/10.1093/oxfordjournals.bmb.a072253.

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D, D. Kulkarni, Gaurav Rajesh Ambhire, Shubham Maruti Shinde, and Vishnu Fulchand Deshmukh. "IOT Based Patient Monitoring." Journal of Embedded Systems and Processing 4, no. 3 (2019): 21–24. https://doi.org/10.5281/zenodo.3542655.

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Nowadays, health-care environment has developed science and knowledge based on wireless-sensing node technology oriented. Patients are facing a problematic situation of unforeseen demise due to the specific reason of heart problems and attack which is because of nonexistence of good medical maintenance to patients at the needed time. This is for specially watching the adulthood patients and informing doctors and admired ones. So, we are proposing an innovative project to dodge such sudden death rates by using Patient Health watching that uses detector technology and uses web to speak to the ad

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Raviteja Boppana, Venkat. "Role of IoT in Remote Patient Monitoring Systems." International Journal of Science and Research (IJSR) 8, no. 11 (2019): 2068–77. http://dx.doi.org/10.21275/sr19112111902.

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B Yogeshwari R, Vaishnavi. "A Secured Patient Healthcare Monitoring in Cloud Infrastructure." International Journal of Scientific Engineering and Research 2, no. 1 (2014): 27–31. https://doi.org/10.70729/j201389.

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K Manju Bargavi, S., and Aniket Mishra. "A Comatose Patient Monitoring System Based on IoT." International Journal of Scientific Engineering and Research 11, no. 4 (2023): 16–23. https://doi.org/10.70729/se23408002508.

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Lakshmi, Ms M., Sai Sri Gaddala, Sandhya Rani Konda, Sahithi Gaja, and Spoorthi Begari. "Remote Monitoring of Heart Patient with Auto Defibrillator." International Journal of Research Publication and Reviews 5, no. 5 (2024): 1010–19. http://dx.doi.org/10.55248/gengpi.5.0524.1120.

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Sukuvaara, T., A. Heikelä, EMJ Koskp, H. Nieminen, and M. Sydänmaa. "Computerized patient monitoring." Acta Anaesthesiologica Scandinavica 37 (December 1993): 185–89. http://dx.doi.org/10.1111/j.1399-6576.1993.tb03672.x.

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Dissertations / Theses on the topic "Patient monitoring"

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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.

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Jasti, Madhu Narasimha Rao. "IoT based remote patient health monitoring system." Kansas State University, 2017. http://hdl.handle.net/2097/38268.

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Master of Science<br>Department of Computer Science<br>Daniel A. Andresen<br>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

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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.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>PROGRAMA DE EXCELENCIA ACADEMICA<br>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 ento

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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.

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In this thesis, model-based analysis approach is considered as a possible solution towards a patient-specific point-of-care device for the purpose of electrocardiogram monitoring. Two novel methods are proposed, tested, and quantitatively evaluated. First, a method for estimating the instantaneous heart rate using the morphologicalfeatures of one electrocardiogram beat at a time is proposed. This work is not aimed at introducing an alternative way for heart rate estimation, but rather illustrates the utility of model-basedelectrocardiogram analysis in online individualized monitoring ofthe hea

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Brouse, Christopher J. "Algorithms & software for intelligent patient monitoring." Thesis, University of British Columbia, 2007. http://hdl.handle.net/2429/31437.

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In Canada, more deaths occur after a patient experiences an adverse event in a hospital than from breast cancer, motor vehicle accidents and AIDS combined. Current technology contributes to the problem, by adding greater complexity to the clinician's workload. There is still significant promise that computerized assistance can improve patient safety. A clinical monitoring expert system, incorporating algorithms and expert knowledge, could automatically diagnose problems and provide advice on how best to avoid hazard. This thesis investigates the design and performance of algorithms and softwar

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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.

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Otine, 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.

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Uganda has registered more than a million deaths since the HIV virus was first offi¬cially reported in the country over 3 decades ago. The governments in partnership with different groups have implemented different programmes to address the epidemic. The support from different donors and reduction in prices of treatment resulted in the focus on antiretroviral therapy access to those affected. Presently only a quarter of the approximately 1 million infected by HIV in Uganda are undergoing antiretroviral therapy. The number of patients pause a challenge in monitoring of therapy given the overall

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Stanford, Maura Marisela. "Reducing Patient Falls and Decreasing Patient Safety Attendant Utilization With CareView Communication Technology." ScholarWorks, 2019. https://scholarworks.waldenu.edu/dissertations/7081.

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Attention to quality outcomes, cost reduction, value-based purchasing, and improved initiatives for hospital-acquired conditions (HACs), as well as labor utilization savings, provide a foundation for hospitals to achieve safety and quality outcomes. Falls resulting in fractures, joint dislocation, or other physical injuries are considered HACs and can produce unexpected consequences such as an increase in costs related to an increased length of stay. The CareView Communications system, a fall prevention management program that uses video surveillance technology, offers a strategy to prevent pa

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Liu, Y. "Wireless remote patient monitoring on general hospital wards." Thesis, Bournemouth University, 2010. http://eprints.bournemouth.ac.uk/17508/.

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A novel approach which has potential to improve quality of patient care on general hospital wards is proposed. Patient care is a labour-intensive task that requires high input of human resources. A Remote Patient Monitoring (RPM) system is proposed which can go some way towards improving patient monitoring on general hospital wards. In this system vital signs are gathered from patients and sent to a control unit for centralized monitoring. The RPM system can complement the role of nurses in monitoring patients’ vital signs. They will be able to focus on holistic needs of patients thereby provi

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Watman, Geoffrey P. "Pharmacist monitoring of patient health in the community." Thesis, Aston University, 1996. http://publications.aston.ac.uk/10935/.

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This research has explored the potential role of the community pharmacist in health promotion in the pharmacy, and at general medical practices. The feasibility of monitoring patients' health status in the community was evaluated by intervention to assess and alter cardiovascular risk factors. 68, hypertensive patients, monitored at one surgery, had a change in mean systolic blood pressure from 158.28 to 146.55 mmHg, a reduction of 7.4%, and a change in mean diastolic bood pressure from 90.91 to 84.85 mmHg, a reduction of 6.7%. 120 patients, from a cohort of 449 at the major practice, with an

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Books on the topic "Patient monitoring"

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McWilliams, Andrew. Patient monitoring devices. Business Communications Co., 2003.

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Jevon, Philip, Beverley Ewens, and Jagtar Singh Pooni, eds. Monitoring the Critically III Patient. John Wiley & Sons, Ltd,., 2012. http://dx.doi.org/10.1002/9781118702932.

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Philip, Jevon, and Ewens Beverley, eds. Monitoring the critically ill patient. Blackwell Science, 2002.

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Beverley, Ewens, ed. Monitoring the critically ill patient. 3rd ed. Wiley-Blackwell, 2012.

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Inc, Biomedical Business International, ed. Patient monitoring disposables and equipment. 3rd ed. Biomedical Business International, 1987.

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Steinberg, Jonathan S., and Suneet Mittal. Remote patient monitoring in cardiology. Demos, 2012.

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Rainbow, Carole. Monitoring the critically ill patient: Patient problems and nursing care. Heinemann Nursing, 1989.

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National Cholesterol Education Program (U.S.) and Working Group on Management of Patients with Hypertension and High Blood Cholesterol, eds. Working group report on management of patients with hypertension and high blood cholesterol. U.S. Department of Health and Human Services, Public Health Service, National Institutes of Health, National Heart, Lung, and Blood Institute, 1990.

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Dr, Gibson Peter, ed. Monitoring asthma. Taylor & Francis, 2005.

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Garry, John W., ed. Monitoring glycaemic control in the diabetic patient. Harcourt Health Communications, 2001.

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Book chapters on the topic "Patient monitoring"

1

Grable, Benjamin, and Theresa A. Gelzinis. "Patient Monitoring." In Basic Clinical Anesthesia. Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4939-1737-2_6.

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Mulvey, David. "Patient Monitoring." In Essential Guide to Medical Equipment Principles. CRC Press, 2025. https://doi.org/10.1201/9781003609414-2.

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Lupu, Robert G., Andrei Stan, and Florina Ungureanu. "Patient Monitoring: Wearable Device for Patient Monitoring." In Lecture Notes in Electrical Engineering. Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-2311-7_56.

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Gardner, Reed M., Terry P. Clemmer, R. Scott Evans, and Roger G. Mark. "Patient Monitoring Systems." In Biomedical Informatics. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4474-8_19.

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Gardner, Reed M., and M. Michael Shabot. "Patient-Monitoring Systems." In Medical Informatics. Springer New York, 2001. http://dx.doi.org/10.1007/978-0-387-21721-5_13.

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Rott, Hannelore, and Theodor Koschinsky. "Patient self-monitoring." In Point-of-Care Testing. Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-662-54497-6_33.

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Gardner, Reed M., and M. Michael Shabot. "Patient-Monitoring Systems." In Health Informatics. Springer New York, 2006. http://dx.doi.org/10.1007/0-387-36278-9_17.

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Anand, Darpan, Gurpreet Singh, and Vishan Kumar Gupta. "Remote Patient Monitoring." In Handbook on Augmenting Telehealth Services. CRC Press, 2023. http://dx.doi.org/10.1201/9781003346289-13.

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Putrino, David, Tina Bijlani, Jenna M. Tosto-Mancuso, and Laura Tabacof. "Remote Patient Monitoring." In Telemedicine for the Musculoskeletal Physical Exam. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-16873-4_1.

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Baura, Gail. "Patient Monitoring Devices." In Biosystems Approach to Industrial Patient Monitoring and Diagnostic Devices, A. Springer International Publishing, 2008. http://dx.doi.org/10.1007/978-3-031-01625-7_3.

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Conference papers on the topic "Patient monitoring"

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Balpande, Rupali, Saniya Kalambe, Laxmikant Umate, Nutan Gore, Nikita Khirade, and Ankita Gedam. "Smart ICU Patient Monitoring System." In 2024 Second International Conference on Inventive Computing and Informatics (ICICI). IEEE, 2024. http://dx.doi.org/10.1109/icici62254.2024.00103.

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R.Kalaivani, K.P.Sampooranam, V. M. Balamurugan, N.Chandru, R.P.Cipiraj, and G. S. Gokulakrishnan. "LabVIEW based Patient Monitoring System." In 2025 5th International Conference on Trends in Material Science and Inventive Materials (ICTMIM). IEEE, 2025. https://doi.org/10.1109/ictmim65579.2025.10988306.

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Pandey, Roshan, Geetika Aswani, Pushkar Kumar Jha, Ravi Roshan, and Ritik Kumar. "Smart Monitoring System for Patient Illness." In 2024 International Conference on Electrical Electronics and Computing Technologies (ICEECT). IEEE, 2024. http://dx.doi.org/10.1109/iceect61758.2024.10739056.

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Yimer, Hailemicael Lulseged, Hailegabriel Dereje Degefa, Marco Cristani, and Federico Cunico. "loT-Based Coma Patient Monitoring System." In 2024 IEEE International Multi-Conference on Smart Systems & Green Process (IMC-SSGP). IEEE, 2024. https://doi.org/10.1109/imc-ssgp63352.2024.10919823.

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Roy, Sritama. "Paralysis Patient Health Care Monitoring System." In 2024 IEEE International Conference on Intelligent Signal Processing and Effective Communication Technologies (INSPECT). IEEE, 2024. https://doi.org/10.1109/inspect63485.2024.10896111.

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Saravanan, G., R. Punitha Gowri, Arvindh S. V, Dheena R. S, and Krishna Kumar M. "Survey on Remote Patient Monitoring System." In 2024 9th International Conference on Communication and Electronics Systems (ICCES). IEEE, 2024. https://doi.org/10.1109/icces63552.2024.10859411.

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Nitish, Obili, Podapati Paul Benhur, P. Kabitha, and Asha Judi V. "Monitoring Patient Health for COVID-19." In 2025 7th International Conference on Intelligent Sustainable Systems (ICISS). IEEE, 2025. https://doi.org/10.1109/iciss63372.2025.11076504.

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Lee, Sunghoon Ivan, Hassan Ghasemzadeh, Bobak Mortazavi, et al. "Remote patient monitoring." In the 4th Conference. ACM Press, 2013. http://dx.doi.org/10.1145/2534088.2534108.

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Diwakar, Deep, Vipul Vaibhav, and Sudipta Majumdar. "Patient Monitoring System." In 2021 2nd International Conference for Emerging Technology (INCET). IEEE, 2021. http://dx.doi.org/10.1109/incet51464.2021.9456363.

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Deshmukh, Shubham L., Favin Fernandes, Sakshi Kulkarni, Aniket Patil, Vaishali Jabade, and Jyoti Madake. "Patient Monitoring System." In 2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon). IEEE, 2022. http://dx.doi.org/10.1109/mysurucon55714.2022.9972563.

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Reports on the topic "Patient monitoring"

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Pritchard, Nigel D. Tempus Pro Patient Monitoring System. Defense Technical Information Center, 2015. http://dx.doi.org/10.21236/ada615472.

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Cawthra, Jennifer, Nakia Grayson, Ronald Pulivarti, et al. Securing Telehealth Remote Patient Monitoring Ecosystem. National Institute of Standards and Technology, 2022. http://dx.doi.org/10.6028/nist.sp.1800-30.

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Winters, Bradford D. Patient Monitoring Systems To Prevent Failure To Rescue. Agency for Healthcare Research and Quality (AHRQ), 2024. https://doi.org/10.23970/ahrqepc_mhs4monitoring.

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Objectives. To review the evidence published after the previous Making Healthcare Safer (MHS) report on the effectiveness of implementing patient monitoring systems that scan patient data for signs of clinical deterioration to alert a clinician of a potential adverse condition. Methods. We searched PubMed and the Cochrane library for systematic reviews and primary studies, published from January 2018 to April 2024, of patient monitoring systems reporting the activation of a rapid response system (RRS), incidence of cardiorespiratory arrest, hospital mortality, transition to higher level of car

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Chaparadza, 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, 2020. http://dx.doi.org/10.21007/chp.hiim.0080.

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Patient Generated Health Data (PGHD is not new but it has gained more attention these past years due to the advent of smart devices, remote monitoring devices and many applications on various smart devices. PGHD reflects medications and treatment, lifestyle choices, and health history. Unlike traditional medical visits, where clinicians collect and manage data within their offices, PGHD is collected by patients throughout the course of their day and provides an insight of how they are responding to treatments or lifestyle choices. Examples include blood glucose monitoring or blood pressure rea

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Donahue, Katrina, Laura Young, John Buse, et al. Effect of Glucose Monitoring on Patient and Provider Outcomes in Non-Insulin Treated Diabetes. Patient-Centered Outcomes Research Institute (PCORI), 2018. http://dx.doi.org/10.25302/3.2018.ce.12114980.

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Sadeghsalehi, Hamidreza, Parinaz Onikzeh, Afshin Heidari, et al. Application of smartphone apps in assessment after spine surgeries: a systematic review protocol. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2021. http://dx.doi.org/10.37766/inplasy2021.10.0054.

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Review question / Objective: The aim of this systematic review is to investigate applications of smartphone apps in assessment and monitoring of postoperative symptoms and patient functions after spine surgeries. Condition being studied: Some patients with spinal problems, such as Discopathy, need surgery. These patients need frequent follow-up and assessment of symptoms and function after surgery. Currently, the use of mobile applications is a new way to monitor and evaluate patients after spinal surgeries. Information sources: Following databases were searched until 2021-03-16: Pubmed, Scopu

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Bass, Eric, Paul Shekelle, Jonathan Treadwell, et al. Making Healthcare Safer IV: Summary of Findings on Patient Safety Practices and Ratings by a Technical Expert Panel, 2024-2025. AHRQ, 2025. https://doi.org/10.23970/ahrqepc_mhs4year2.

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The fourth installment of the Making Healthcare Safer (MHS) series of reviews marks nearly a quarter century’s progress in efforts to meet the challenge of reducing and, ultimately, eliminating preventable patient harm. Throughout this patient safety journey, the MHS series synthesizes and disseminates evidence on the effectiveness of patient safety practices (PSPs). In 2022, the Agency for Healthcare Research and Quality (AHRQ) launched work on the fourth iteration of the MHS Report (MHS IV). Topics were prioritized for inclusion in the MHS IV series based on a modified Delphi technique used

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Alanazi, Hamad. Exploring Policies and Strategies for the Diffusion of Remote Patient Monitoring (RPM) for the Care of Senior Population. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.7379.

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Hamlin, Alexandra, Erik Kobylarz, James Lever, Susan Taylor, and Laura Ray. Assessing the feasibility of detecting epileptic seizures using non-cerebral sensor. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42562.

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This paper investigates the feasibility of using non-cerebral, time-series data to detect epileptic seizures. Data were recorded from fifteen patients (7 male, 5 female, 3 not noted, mean age 36.17 yrs), five of whom had a total of seven seizures. Patients were monitored in an inpatient setting using standard video electroencephalography (vEEG), while also wearing sensors monitoring electrocardiography, electrodermal activity, electromyography, accelerometry, and audio signals (vocalizations). A systematic and detailed study was conducted to identify the sensors and the features derived from t

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Wan, Huipeng, Hui Xu, Zixuan Wang, Peng Yu, and 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, 2022. http://dx.doi.org/10.37766/inplasy2022.5.0001.

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