dc.creatorAriza Colpas, Paola Patricia
dc.creatoraziz, shariq
dc.creatorTariq, Muhammad Imran
dc.creatorMorales Ortega, Roberto
dc.creatorWaqas Anjum, Muhammad
dc.creatorPiñeres Melo, Marlon Alberto
dc.date2022-03-16T20:59:26Z
dc.date2022
dc.date2022-03-16T20:59:26Z
dc.date2021
dc.date.accessioned2023-10-03T19:55:24Z
dc.date.available2023-10-03T19:55:24Z
dc.identifierAriza-Colpas P., Butt S.A., Tariq M.I., Ortega R.C.M., Anjum M.W., Melo M.A.P. (2022) A Smart Health Monitoring Application for Patients to Improve Health. In: Maleh Y., Alazab M., Gherabi N., Tawalbeh L., Abd El-Latif A.A. (eds) Advances in Information, Communication and Cybersecurity. ICI2C 2021. Lecture Notes in Networks and Systems, vol 357. Springer, Cham. https://doi.org/10.1007/978-3-030-91738-8_34
dc.identifier2367-3370
dc.identifierhttps://hdl.handle.net/11323/9078
dc.identifierhttps://doi.org/10.1007/978-3-030-91738-8_34
dc.identifier10.1007/978-3-030-91738-8_34
dc.identifier2367-3389
dc.identifierCorporación Universidad de la Costa
dc.identifierREDICUC - Repositorio CUC
dc.identifierhttps://repositorio.cuc.edu.co/
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9173336
dc.descriptionHealth is growing nowadays due to technological revolutions. These revolutions make health smart and easy to monitor the patient at their location. In this paper, we are suggesting and developing the smart health monitoring scenario. In our system, we are monitoring patients with the disease of frequent urine due to diabetes, stiffness of bones due to ortho disease, and heart rate monitoring due to heart disease we used some statically measured to find results from the generated data during the monitoring. Our system reveals that the scenario we created for monitoring patients at their location is more accurate and valuable during the decision-making to take appropriate action. Objective of this study is to support the elder patients for their remote health monitoring with the trustworthy scenario. We used an app development method for it. We used almost 10 patients to evaluate the results of our developed system. The study reveals that our developed system is very valuable for elder patients’ health monitoring. We selected 10 patients with the mentioned diseases to monitor them and check the validity of our developed system. We find that our developed system is very efficient and useful for monitoring and generating an alarm in the case of any abnormality situations. In conclusion, there is an essential need for such systems that monitor the patient effectively and take decisions timely. In this paper, we implemented a model for elder patients to monitor the patient with different diseases such as frequent urine sugar levels, and stiffness in bones. For this, we deployed sensors in the patient’s body and attached them to the mobile to transmit the data to the other ends. We also set an alarming stage in the system when there is any abnormality condition observed. The study reveals that there is a need for a more precise and decision support mechanism for disease monitoring to enhance the elder people life.
dc.format13 páginas
dc.formatapplication/pdf
dc.formatapplication/pdf
dc.languageeng
dc.publisherSpringer International Publishing AG
dc.publisherSwitzerland
dc.relationLecture Notes in Networks and Systems
dc.relation1. Aula, A., & Käki, M. (2005). Less is more in Web search interfaces for older adults. First Monday.
dc.relation2. Watts-Schacter, E., & Kral, P. (2019). Mobile Health Applications, Smart Medical Devices, and Big Data Analytics Technologies. American Journal of Medical Research, 6(1), 19-24.
dc.relation3. Gubbi, J., Buyya, R., Marusic, S., & Palaniswami, M. (2013). Internet of Things (IoT): A vision, architectural elements, and future directions. Future generation computer systems, 29(7), 1645-1660.
dc.relation4. Misra, G., Kumar, V., Agarwal, A., & Agarwal, K. (2016). Internet of things (iot)–a technological analysis and survey on vision, concepts, challenges, innovation directions, technologies, and applications (an upcoming or future generation computer communication system technology). American Journal of Electrical and Electronic Engineering, 4(1), 23-32.
dc.relation5. Jonker, L. (2021). Perioperative telemonitoring of older patients with cancer.
dc.relation6. Din, I. U., Guizani, M., Kim, B. S., Hassan, S., & Khan, M. K. (2018). Trust management techniques for the Internet of Things: A survey. IEEE Access, 7, 29763-29787.
dc.relation7. Krishnan, D. S. R., Gupta, S. C., & Choudhury, T. (2018, June). An IoT based patient health monitoring system. In 2018 International Conference on Advances in Computing and Communication Engineering (ICACCE) (pp. 01-07). IEEE.
dc.relation8. Butt, S. A., Gochhait, S., Andleeb, S., & Adeel, M. (2021). Games Features for Health Disciplines for Patient Learning as Entertainment. In Digital Entertainment (pp. 65-86). Palgrave Macmillan, Singapore.
dc.relation9. Shafi, J., & Waheed, A. (2019). Role of Smart Wearable in Healthcare: Wearable Internet of Medical Things (WIoMT). In The IoT and the Next Revolutions Automating the World (pp. 133-155). IGI Global.
dc.relation10. Jang-Jaccard, J., Nepal, S., Celler, B., & Yan, B. (2016). WebRTC-based video conferencing service for telehealth. Computing, 98(1-2), 169-193.
dc.relation11. Vahedi, I. (2017). Applications of telehealth in the practice, upgrading of knowledge, and communication of physicians with their colleagues and patients in Canada (Doctoral dissertation).
dc.relation12. Tariq, M. I. (2020). Big Data with Green Internet of Things (G-IoT) for the Development of Smart Cities and Technologies.
dc.relation13. Burnett, A. D. (2017). How Does Leadership Synergistically Impact Employee Performance and Frontline Care Effectiveness (Doctoral dissertation, Capella University).
dc.relation14. Fatima, T., Malik, S. A., & Shabbir, A. (2018). Hospital healthcare service quality, patient satisfaction and loyalty. International Journal of Quality & Reliability Management.
dc.relation15. Pramanik, P. K. D., Upadhyaya, B. K., Pal, S., & Pal, T. (2019). Internet of things, smart sensors, and pervasive systems: Enabling connected and pervasive healthcare. In Healthcare data analytics and management (pp. 1-58). Academic Press.
dc.relation16. Alsina-Pagès, R. M., Navarro, J., Alías, F., & Hervás, M. (2017). homesound: Real-time audio event detection based on high performance computing for behaviour and surveillance remote monitoring. Sensors, 17(4), 854.
dc.relation17. Andriopoulou, F., Orphanoudakis, T., & Dagiuklas, T. (2017, October). IoTA: IoT automated SIP-based emergency call triggering system for general eHealth purposes. In 2017 IEEE 13th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) (pp. 362-369). IEEE.
dc.relation18. Minaam, D. S. A., & Abd-ELfattah, M. (2018). Smart drugs: Improving healthcare using smart pill box for medicine reminder and monitoring system. Future Computing and Informatics Journal, 3(2), 443-456.
dc.relation19. Marsh, K., IJzerman, M., Thokala, P., Baltussen, R., Boysen, M., Kaló, Z., ... & Devlin, N. (2016). Multiple criteria decision analysis for health care decision making—emerging good practices: report 2 of the ISPOR MCDA Emerging Good Practices Task Force. Value in health, 19(2), 125-137.
dc.relation20. Kelley, L. T., Egan, R., Stockley, D., & Johnson, A. P. (2018). Evaluating multi-criteria decision-making in health technology assessment. Health Policy and Technology, 7(3), 310-317.
dc.relation21. Butt, S. A., Anjum, M. W., Hassan, S. A., Garai, A., & Onyema, E. M. (2021). Smart Health Application for Remote Tracking of Ambulatory Patients. Smart Healthcare System Design: Security and Privacy Aspects, 33.
dc.relation382
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dc.rightsAtribución 4.0 Internacional (CC BY 4.0)
dc.rights© The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
dc.rightshttps://creativecommons.org/licenses/by/4.0/
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.rightshttp://purl.org/coar/access_right/c_f1cf
dc.sourcehttps://link.springer.com/chapter/10.1007/978-3-030-91738-8_34
dc.subjectSmart health
dc.subjectElder monitoring
dc.subjectMobile application development
dc.titleA Smart health monitoring application for patients to improve health
dc.typeArtículo de revista
dc.typehttp://purl.org/coar/resource_type/c_6501
dc.typeText
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typehttp://purl.org/redcol/resource_type/ART
dc.typeinfo:eu-repo/semantics/acceptedVersion
dc.typehttp://purl.org/coar/version/c_ab4af688f83e57aa


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