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Erschienen in: Wireless Personal Communications 3/2020

15.05.2020

An Overview of Patient’s Health Status Monitoring System Based on Internet of Things (IoT)

verfasst von: Kadhim Takleef Kadhim, Ali M. Alsahlany, Salim Muhsin Wadi, Hussein T. Kadhum

Erschienen in: Wireless Personal Communications | Ausgabe 3/2020

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Abstract

The Internet of Things (IoT) is a newly emerging term for the new generation of the Internet which allows understanding between interconnected devices. IoT acts as an assistant in healthcare and plays an extremely important role in wide scopes of medicinal services observing applications. Through determining the pattern of parameters that are observed, the character of the disease can be expected. Health specialists and technicians have developed a great system with low-cost healthcare monitoring for people suffering from many diseases using common techniques such as wearable devices, wireless channels, and other remote devices. Network-related sensors, either worn on the body or in living environments, collect rich information to assess the physical and mental state of the patient. This work focuses on scanning the existing e-health (electronic healthcare) monitoring system using integrated systems. The main goal of the e-health monitoring system is to offer the patient a prescription automatically according to his or her condition. The doctor can check patient health continuously without physical interaction. The study aims to explore the uses of IoT applications in the medical sector, and its role in raising the level of medical care services in health institutions. Also, the study will address the applications of IoT in the medical field and the extent of its use to enrich traditional methods in various health fields and to determine the extent of the ability of IoT to improve the quality of health services provided. The study relies on a descriptive research approach through an analysis of the literature published in this field. The results of the study refer to the application of IoT in the health institutions, it will help to obtain accurate diagnoses for patients, which will reflect on the quality of service provided to the patient. It will also reduce periodic patient reviews to the hospital by relying on IoT applications for remote diagnosis. Also, an application in health institutions will contribute to providing data correct for the diseases that patients suffer from, and hence employing them in preparing scientific research to obtain more accurate results. This paper introduces the review of the Internet-based healthcare monitoring system (HCMS) and the general outlines on opportunities and challenges of the patient’s Internet-based patient health monitoring system.

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Literatur
1.
Zurück zum Zitat Donzia, S. K. Y., Kim, H. K., & Shin, B. Y. (2018, November). Study on cloud computing and emergence of the Internet of the Thing in industry. In 2018 5th NAFOSTED conference on information and computer science (NICS) (pp. 334–337). IEEE.‏ Donzia, S. K. Y., Kim, H. K., & Shin, B. Y. (2018, November). Study on cloud computing and emergence of the Internet of the Thing in industry. In 2018 5th NAFOSTED conference on information and computer science (NICS) (pp. 334–337). IEEE.‏
2.
Zurück zum Zitat Zanella, A., Bui, N., Castellani, A., Vangelista, L., & Zorzi, M. (2014). Internet of Things for smart cities. IEEE Internet Things J., 1(1), 22–32. Zanella, A., Bui, N., Castellani, A., Vangelista, L., & Zorzi, M. (2014). Internet of Things for smart cities. IEEE Internet Things J., 1(1), 22–32.
3.
Zurück zum Zitat Sanchez, L., et al. (2014). Smartsantander: IoT experimentation over a smart city testbed. Computer Networks, 61, 217–238. Sanchez, L., et al. (2014). Smartsantander: IoT experimentation over a smart city testbed. Computer Networks, 61, 217–238.
4.
Zurück zum Zitat Park, E., Cho, Y., Han, J., & Kwon, S. J. (2017). Comprehensive approaches to user acceptance of Internet of Things in a smart home environment. IEEE Internet Things Journal, 4(6), 2342–2350. Park, E., Cho, Y., Han, J., & Kwon, S. J. (2017). Comprehensive approaches to user acceptance of Internet of Things in a smart home environment. IEEE Internet Things Journal, 4(6), 2342–2350.
5.
Zurück zum Zitat Vishwakarma, S. K., Upadhyaya, P., Kumari, B., & Mishra, A. K. (2019, April). Smart energy efficient home automation system using IoT. In 2019 4th international conference on internet of things: Smart innovation and usages (IoT-SIU) (pp. 1–4). IEEE.‏ Vishwakarma, S. K., Upadhyaya, P., Kumari, B., & Mishra, A. K. (2019, April). Smart energy efficient home automation system using IoT. In 2019 4th international conference on internet of things: Smart innovation and usages (IoT-SIU) (pp. 1–4). IEEE.‏
6.
Zurück zum Zitat Husni, E., et al. (2016). Applied Internet of Things (IoT): Car monitoring system using IBM BlueMix. In Proceedings of international seminar intelligence technology application (ISITIA), July 2016 (pp. 417–422). Husni, E., et al. (2016). Applied Internet of Things (IoT): Car monitoring system using IBM BlueMix. In Proceedings of international seminar intelligence technology application (ISITIA), July 2016 (pp. 417–422).
7.
Zurück zum Zitat Brewster, C., Roussaki, I., Kalatzis, N., Doolin, K., & Ellis, K. (2017). IoT in agriculture: Designing a Europe-wide large-scale pilot. IEEE Communications Magazine, 55(9), 26–33. Brewster, C., Roussaki, I., Kalatzis, N., Doolin, K., & Ellis, K. (2017). IoT in agriculture: Designing a Europe-wide large-scale pilot. IEEE Communications Magazine, 55(9), 26–33.
8.
Zurück zum Zitat Sastra, N. P., & Wiharta, D. M. (2016). Environmental monitoring as an IoT application in building smart campus of Universitas Udayana. In Proceedings of international conference on smart-green technology in electrical and information systems (ICSGTEIS), October 2016 (pp. 85–88). Sastra, N. P., & Wiharta, D. M. (2016). Environmental monitoring as an IoT application in building smart campus of Universitas Udayana. In Proceedings of international conference on smart-green technology in electrical and information systems (ICSGTEIS), October 2016 (pp. 85–88).
9.
Zurück zum Zitat Islam, S. M. R., Kwak, D., Kabir, M. H., Hossain, M., & Kwak, K.-S. (2015). The Internet of Things for health care: A comprehensive survey. IEEE Access, 3, 678–708. Islam, S. M. R., Kwak, D., Kabir, M. H., Hossain, M., & Kwak, K.-S. (2015). The Internet of Things for health care: A comprehensive survey. IEEE Access, 3, 678–708.
10.
Zurück zum Zitat Li, L. (2011). Application of the Internet of Thing in green agricultural products supply chain management. In Proceedings of IEEE international conference on computation technology and automation (ICICTA) (Vol. 1, pp. 1022–1025). Shenzhen, China. Li, L. (2011). Application of the Internet of Thing in green agricultural products supply chain management. In Proceedings of IEEE international conference on computation technology and automation (ICICTA) (Vol. 1, pp. 1022–1025). Shenzhen, China.
12.
Zurück zum Zitat Brown, E. (2016). Who needs the Internet of Things?. Linux.com. September 13, 2016. Brown, E. (2016). Who needs the Internet of Things?. Linux.com. September 13, 2016.
13.
Zurück zum Zitat Della Mea, V. (2001). What is e-Health (2): The death of telemedicine? Journal of Medical Internet Research, 3, e22. Della Mea, V. (2001). What is e-Health (2): The death of telemedicine? Journal of Medical Internet Research, 3, e22.
14.
Zurück zum Zitat Fan, Y. J., Yin, Y. H., Xu, L. D., Zeng, Y., & Wu, F. (2014). IoT-based smart rehabilitation system. IEEE Transactions on Industrial Informatics, 10, 1568–1577. Fan, Y. J., Yin, Y. H., Xu, L. D., Zeng, Y., & Wu, F. (2014). IoT-based smart rehabilitation system. IEEE Transactions on Industrial Informatics, 10, 1568–1577.
15.
Zurück zum Zitat Yuehong, Y. I. N., Zeng, Y., Chen, X., & Fan, Y. (2016). Internet of things in healthcare: An overview. Journal of Industrial Information Integration, 1, 3–13. Yuehong, Y. I. N., Zeng, Y., Chen, X., & Fan, Y. (2016). Internet of things in healthcare: An overview. Journal of Industrial Information Integration, 1, 3–13.
16.
Zurück zum Zitat Bardram, J. E., Doryab, A., Jensen, R. M., Lange, P. M., Nielsen, K. L., & Petersen, S.T. (2011). Phaserecognition during surgical procedures using embedded and body-worn sensors. In: IEEE international conference on pervasive computing and communications (PerCom), March 45–53, 2011. Bardram, J. E., Doryab, A., Jensen, R. M., Lange, P. M., Nielsen, K. L., & Petersen, S.T. (2011). Phaserecognition during surgical procedures using embedded and body-worn sensors. In: IEEE international conference on pervasive computing and communications (PerCom), March 45–53, 2011.
17.
Zurück zum Zitat Rodrigues, J. J., Segundo, D. B. D. R., Junqueira, H. A., Sabino, M. H., Prince, R. M., Al-Muhtadi, J., et al. (2018). Enabling technologies for the Internet of health things. IEEE Access, 6, 13129–13141. Rodrigues, J. J., Segundo, D. B. D. R., Junqueira, H. A., Sabino, M. H., Prince, R. M., Al-Muhtadi, J., et al. (2018). Enabling technologies for the Internet of health things. IEEE Access, 6, 13129–13141.
18.
Zurück zum Zitat Nanayakkara, N., Halgamuge, M., & Syed, A. (2019). Security and privacy of Internet of Medical Things (IoMT) based healthcare applications: A review.‏ Nanayakkara, N., Halgamuge, M., & Syed, A. (2019). Security and privacy of Internet of Medical Things (IoMT) based healthcare applications: A review.‏
19.
Zurück zum Zitat Selvaraj, S., & Sundaravaradhan, S. (2020). Challenges and opportunities in IoT healthcare systems: A systematic review. SN Applied Sciences, 2(1), 139. Selvaraj, S., & Sundaravaradhan, S. (2020). Challenges and opportunities in IoT healthcare systems: A systematic review. SN Applied Sciences, 2(1), 139.
22.
Zurück zum Zitat Nugraha, A. T., Wibowo, R., Suryanegara, M., & Hayati, N. (2018, September). An IoT-LoRa system for tracking a patient with a mental disorder: Correlation between battery capacity and speed of movement. In 2018 7th international conference on computer and communication engineering (ICCCE) (pp. 198–201). IEEE.‏ Nugraha, A. T., Wibowo, R., Suryanegara, M., & Hayati, N. (2018, September). An IoT-LoRa system for tracking a patient with a mental disorder: Correlation between battery capacity and speed of movement. In 2018 7th international conference on computer and communication engineering (ICCCE) (pp. 198–201). IEEE.‏
23.
Zurück zum Zitat Irawan, H. C., & Juhana, T. (2017, October). Heart rate monitoring using IoT wearable for ambulatory patient. In 2017 11th international conference on telecommunication systems services and applications (TSSA) (pp. 1–4). IEEE.‏ Irawan, H. C., & Juhana, T. (2017, October). Heart rate monitoring using IoT wearable for ambulatory patient. In 2017 11th international conference on telecommunication systems services and applications (TSSA) (pp. 1–4). IEEE.‏
24.
Zurück zum Zitat Kumar, G. V., Bharadwaja, A., & Sai, N. N. (2017, May). Temperature and heart beat monitoring system using IOT. In 2017 international conference on trends in electronics and informatics (ICEI) (pp. 692–695). IEEE.‏ Kumar, G. V., Bharadwaja, A., & Sai, N. N. (2017, May). Temperature and heart beat monitoring system using IOT. In 2017 international conference on trends in electronics and informatics (ICEI) (pp. 692–695). IEEE.‏
25.
Zurück zum Zitat Jiang, M., Gia, T. N., Anzanpour, A., Rahmani, A. M., Westerlund, T., Salanterä, S., et al. (2016, April). IoT-based remote facial expression monitoring system with sEMG signal. In 2016 IEEE sensors applications symposium (SAS) (pp. 1–6). IEEE.‏ Jiang, M., Gia, T. N., Anzanpour, A., Rahmani, A. M., Westerlund, T., Salanterä, S., et al. (2016, April). IoT-based remote facial expression monitoring system with sEMG signal. In 2016 IEEE sensors applications symposium (SAS) (pp. 1–6). IEEE.‏
26.
Zurück zum Zitat Karimian, N., Tehranipoor, M., Woodard, D., & Forte, D. (2019). Unlock your heart: Next generation biometric in resource-constrained healthcare systems and IoT. IEEE Access, 7, 49135–49149. Karimian, N., Tehranipoor, M., Woodard, D., & Forte, D. (2019). Unlock your heart: Next generation biometric in resource-constrained healthcare systems and IoT. IEEE Access, 7, 49135–49149.
27.
Zurück zum Zitat Internet of Things in Eye Diseases, Introducing a New Smart Eyeglasses Designed for Probable Dangerous Pressure Changes in Human Eyes. Internet of Things in Eye Diseases, Introducing a New Smart Eyeglasses Designed for Probable Dangerous Pressure Changes in Human Eyes.
28.
Zurück zum Zitat Malhotra, A., Som, S., & Khatri, S. K. (2019, February). IoT based predictive model for cloud seeding. In 2019 amity international conference on artificial intelligence (AICAI) (pp. 669–773). IEEE.‏ Malhotra, A., Som, S., & Khatri, S. K. (2019, February). IoT based predictive model for cloud seeding. In 2019 amity international conference on artificial intelligence (AICAI) (pp. 669–773). IEEE.‏
29.
Zurück zum Zitat Pulkkis, G., Karlsson, J., Westerlund, M., & Tana, J. (2017, August). Secure and reliable Internet of Things systems for healthcare. In 2017 IEEE 5th international conference on future internet of things and cloud (FiCloud) (pp. 169–176). IEEE.‏ Pulkkis, G., Karlsson, J., Westerlund, M., & Tana, J. (2017, August). Secure and reliable Internet of Things systems for healthcare. In 2017 IEEE 5th international conference on future internet of things and cloud (FiCloud) (pp. 169–176). IEEE.‏
30.
Zurück zum Zitat Ahmed, N., Rahman, H., & Hussain, M. I. (2016). A comparison of 802.11ah and 802.15.4 for IoT. ICT Express, 2(3), 100–102. Ahmed, N., Rahman, H., & Hussain, M. I. (2016). A comparison of 802.11ah and 802.15.4 for IoT. ICT Express, 2(3), 100–102.
31.
Zurück zum Zitat Li, M. (2019, July). Soft frequency reuse-based resource allocation for D2D communications using both licensed and unlicensed bands. In 2019 eleventh international conference on ubiquitous and future networks (ICUFN) (pp. 384–386). IEEE.‏ Li, M. (2019, July). Soft frequency reuse-based resource allocation for D2D communications using both licensed and unlicensed bands. In 2019 eleventh international conference on ubiquitous and future networks (ICUFN) (pp. 384–386). IEEE.‏
32.
Zurück zum Zitat Shobowale, Y. M., & Hamdi, K. A. (2009). A unified model for interference analysis in unlicensed frequency bands. IEEE Transactions on Wireless Communications, 8(8), 4004–4013. Shobowale, Y. M., & Hamdi, K. A. (2009). A unified model for interference analysis in unlicensed frequency bands. IEEE Transactions on Wireless Communications, 8(8), 4004–4013.
33.
Zurück zum Zitat Beyene, Y. D., et al. (2017). NB-IoT technology overview and experience from cloud-RAN implementation. IEEE Wireless Communication, 24(3), 26–32.MathSciNet Beyene, Y. D., et al. (2017). NB-IoT technology overview and experience from cloud-RAN implementation. IEEE Wireless Communication, 24(3), 26–32.MathSciNet
34.
Zurück zum Zitat Raza, U., Kulkarni, P., & Sooriyabandara, M. (2017). Low power wide area networks: An overview. IEEE Communications Surveys and Tutorials, 19(2), 855–873. Raza, U., Kulkarni, P., & Sooriyabandara, M. (2017). Low power wide area networks: An overview. IEEE Communications Surveys and Tutorials, 19(2), 855–873.
35.
Zurück zum Zitat Riazul Islam, S. M., Daehan Kwak, M. H. K. M. H., & Kwak, K. S. (2015). The Internet of Things for health care: A comprehensive survey. In IEEE access. Riazul Islam, S. M., Daehan Kwak, M. H. K. M. H., & Kwak, K. S. (2015). The Internet of Things for health care: A comprehensive survey. In IEEE access.
36.
Zurück zum Zitat Sinha, R. S., Wei, Y., & Hwang, S.-H. (2017). A survey on LPWA technology: LoRa and NB-IoT. ICT Express, 3(1), 14–21. Sinha, R. S., Wei, Y., & Hwang, S.-H. (2017). A survey on LPWA technology: LoRa and NB-IoT. ICT Express, 3(1), 14–21.
37.
Zurück zum Zitat Rodriguez-Zurrunero, R., Utrilla, R., Rozas, A., & Araujo, A. (2019). Process management in IoT operating systems: Cross-influence between processing and communication tasks in end-devices. Sensors, 19(4), 805. Rodriguez-Zurrunero, R., Utrilla, R., Rozas, A., & Araujo, A. (2019). Process management in IoT operating systems: Cross-influence between processing and communication tasks in end-devices. Sensors, 19(4), 805.
38.
Zurück zum Zitat Xu, L. D., He, W., & Li, S. (2014). Internet of Things in industries: A survey. IEEE Transactions on Industrial Informatics, 10(4), 2233–2243. Xu, L. D., He, W., & Li, S. (2014). Internet of Things in industries: A survey. IEEE Transactions on Industrial Informatics, 10(4), 2233–2243.
39.
Zurück zum Zitat Ngu, A. H., Gutierrez, M., Metsis, V., Nepal, S., & Sheng, Q. Z. (2017). IoT middleware: A survey on issues and enabling technologies. IEEE Internet Things Journal, 4(1), 1–20. Ngu, A. H., Gutierrez, M., Metsis, V., Nepal, S., & Sheng, Q. Z. (2017). IoT middleware: A survey on issues and enabling technologies. IEEE Internet Things Journal, 4(1), 1–20.
40.
Zurück zum Zitat TongKe, F. (2013). Smart agriculture based on cloud computing and IoT. Journal of Convergence Information Technology, 8(2), 190–201. TongKe, F. (2013). Smart agriculture based on cloud computing and IoT. Journal of Convergence Information Technology, 8(2), 190–201.
41.
Zurück zum Zitat Wolfert, S., Ge, L., Verdouw, C., & Bogaardt, M.-J. (2017). Big data in smart farming—A review. Agricultural Systems, 153, 69–80. Wolfert, S., Ge, L., Verdouw, C., & Bogaardt, M.-J. (2017). Big data in smart farming—A review. Agricultural Systems, 153, 69–80.
42.
Zurück zum Zitat Bendre, M. R., Thool, R. C., & Thool, V. R. (2015). Big data in precision agriculture: Weather forecasting for future farming. In Proceedings of 1st international conference on next generation computing technologies (NGCT), September 2015 (pp. 744–750). Bendre, M. R., Thool, R. C., & Thool, V. R. (2015). Big data in precision agriculture: Weather forecasting for future farming. In Proceedings of 1st international conference on next generation computing technologies (NGCT), September 2015 (pp. 744–750).
43.
Zurück zum Zitat Yan-e, D. (2011). Design of intelligent agriculture management information system based on IoT. In International conference on intelligent computation technology and automation (Vol. 1, pp. 1045–1049). Shenzhen, China, March 2011. Yan-e, D. (2011). Design of intelligent agriculture management information system based on IoT. In International conference on intelligent computation technology and automation (Vol. 1, pp. 1045–1049). Shenzhen, China, March 2011.
44.
Zurück zum Zitat Chen, X., Shi, Q., Yang, L., & Xu, J. (2018). ThriftyEdge: Resource-efficient edge computing for intelligent IoT applications. IEEE Networks, 32(1), 61–65. Chen, X., Shi, Q., Yang, L., & Xu, J. (2018). ThriftyEdge: Resource-efficient edge computing for intelligent IoT applications. IEEE Networks, 32(1), 61–65.
45.
Zurück zum Zitat Premsankar, G., Francesco, M. D., & Taleb, T. (2018). Edge computing for the Internet of Things: A case study. IEEE Internet Things Journals, 5(2), 1275–1284. Premsankar, G., Francesco, M. D., & Taleb, T. (2018). Edge computing for the Internet of Things: A case study. IEEE Internet Things Journals, 5(2), 1275–1284.
46.
Zurück zum Zitat Lakkis, S. I., & Elshakankiri, M. (2017, November). IoT based emergency and operational services in medical care systems. In 2017 Internet of Things business models, users, and networks (pp. 1–5). IEEE.‏ Lakkis, S. I., & Elshakankiri, M. (2017, November). IoT based emergency and operational services in medical care systems. In 2017 Internet of Things business models, users, and networks (pp. 1–5). IEEE.‏
47.
Zurück zum Zitat Heydenreich, F., Jürgens, C., & Tost, F. (2009). Data security and the handling of patient data in home monitoring systems. Der Ophthalmologe: Zeitschrift der Deutschen Ophthalmologischen Gesellschaft, 106(9), 800–804. Heydenreich, F., Jürgens, C., & Tost, F. (2009). Data security and the handling of patient data in home monitoring systems. Der Ophthalmologe: Zeitschrift der Deutschen Ophthalmologischen Gesellschaft, 106(9), 800–804.
48.
Zurück zum Zitat Kliem, A., Boelke, A., Grohnert, A., & Traeder, N. (2014, October). Self-adaptive middleware for ubiquitous medical device integration. In 2014 IEEE 16th international conference on e-health networking, applications and services (Healthcom) (pp. 298–304). IEEE.‏ Kliem, A., Boelke, A., Grohnert, A., & Traeder, N. (2014, October). Self-adaptive middleware for ubiquitous medical device integration. In 2014 IEEE 16th international conference on e-health networking, applications and services (Healthcom) (pp. 298–304). IEEE.‏
49.
Zurück zum Zitat Idrees, M., Iqbal, W., & Bazaz, S. A. (2013, December). Real-time doctor-patient assignment in a telemedicine system. In INMIC (pp. 55–60). IEEE.‏ Idrees, M., Iqbal, W., & Bazaz, S. A. (2013, December). Real-time doctor-patient assignment in a telemedicine system. In INMIC (pp. 55–60). IEEE.‏
50.
Zurück zum Zitat Scott, D., & Purves, I. N. (1996). Triadic relationship between doctor, computer and patient. Interacting with Computers, 8(4), 347–363. Scott, D., & Purves, I. N. (1996). Triadic relationship between doctor, computer and patient. Interacting with Computers, 8(4), 347–363.
51.
Zurück zum Zitat Ferreira, J., Soares, J. N., Jardim-Goncalves, R., & Agostinho, C. (2017, May). Management of IoT devices in a physical network. In 2017 21st international conference on control systems and computer science (CSCS) (pp. 485–492). IEEE.‏ Ferreira, J., Soares, J. N., Jardim-Goncalves, R., & Agostinho, C. (2017, May). Management of IoT devices in a physical network. In 2017 21st international conference on control systems and computer science (CSCS) (pp. 485–492). IEEE.‏
52.
Zurück zum Zitat Singh, B., Urooj, S., Mishra, S., & Haldar, S. (2019). Blood pressure monitoring system using wireless technologies. Procedia Computer Science, 152, 267–273. Singh, B., Urooj, S., Mishra, S., & Haldar, S. (2019). Blood pressure monitoring system using wireless technologies. Procedia Computer Science, 152, 267–273.
53.
Zurück zum Zitat Lavanya, S., Lavanya, G., & Divyabharathi, J. (2017, March). Remote prescription and I-Home healthcare based on IoT. In 2017 international conference on innovations in green energy and healthcare technologies (IGEHT) (pp. 1–3). IEEE.‏ Lavanya, S., Lavanya, G., & Divyabharathi, J. (2017, March). Remote prescription and I-Home healthcare based on IoT. In 2017 international conference on innovations in green energy and healthcare technologies (IGEHT) (pp. 1–3). IEEE.‏
54.
Zurück zum Zitat Hong, J., Morris, P., & Seo, J. (2017, August). Interconnected personal health record ecosystem using IoT cloud platform and HL7 FHIR. In 2017 IEEE international conference on healthcare informatics (ICHI) (pp. 362–367). IEEE.‏ Hong, J., Morris, P., & Seo, J. (2017, August). Interconnected personal health record ecosystem using IoT cloud platform and HL7 FHIR. In 2017 IEEE international conference on healthcare informatics (ICHI) (pp. 362–367). IEEE.‏
55.
Zurück zum Zitat Pardeshi, V., Sagar, S., Murmurwar, S., & Hage, P. (2017, February). Health monitoring systems using IoT and raspberry pi—A review. In 2017 international conference on innovative mechanisms for industry applications (ICIMIA) (pp. 134–137). IEEE.‏ Pardeshi, V., Sagar, S., Murmurwar, S., & Hage, P. (2017, February). Health monitoring systems using IoT and raspberry pi—A review. In 2017 international conference on innovative mechanisms for industry applications (ICIMIA) (pp. 134–137). IEEE.‏
56.
Zurück zum Zitat Coomber, P., Clavarino, A., Ballard, E., & Luetsch, K. (2018). Doctor–pharmacist communication in hospitals: Strategies, perceptions, limitations and opportunities. International Journal of Clinical Pharmacy, 40(2), 464–473. Coomber, P., Clavarino, A., Ballard, E., & Luetsch, K. (2018). Doctor–pharmacist communication in hospitals: Strategies, perceptions, limitations and opportunities. International Journal of Clinical Pharmacy, 40(2), 464–473.
57.
Zurück zum Zitat Kadhim, Kadhim Takleef, Alsahlany, Ali M., Wadi, Salim Muhsin, & Kadhum, Hussein T. (2020). Monitoring vital signs of human hear based on IOT. Al-Furat Journal of Innovations in Electronics and Computer Engineering, 1(2), 9–13. Kadhim, Kadhim Takleef, Alsahlany, Ali M., Wadi, Salim Muhsin, & Kadhum, Hussein T. (2020). Monitoring vital signs of human hear based on IOT. Al-Furat Journal of Innovations in Electronics and Computer Engineering, 1(2), 9–13.
58.
Zurück zum Zitat Dimitrov, D. V. (2016). Medical internet of things and big data in healthcare. Healthcare Informatics Research, 22(3), 156–163. Dimitrov, D. V. (2016). Medical internet of things and big data in healthcare. Healthcare Informatics Research, 22(3), 156–163.
59.
Zurück zum Zitat Fernandes, P. M. P., & Werebe, E. (2010). Electronic medical files for patients: Some steps towards the future. São Paulo Medical Journal, 15(4), 159–161. Fernandes, P. M. P., & Werebe, E. (2010). Electronic medical files for patients: Some steps towards the future. São Paulo Medical Journal, 15(4), 159–161.
60.
Zurück zum Zitat Kaur, K., & Kaur, K. (2017). A Survey on Service Oriented Architecture on Big Data, Cloud Computing and IOT. International Journal of Advanced Research in Computer Science, 8(3).‏ Kaur, K., & Kaur, K. (2017). A Survey on Service Oriented Architecture on Big Data, Cloud Computing and IOT. International Journal of Advanced Research in Computer Science8(3).‏
61.
Zurück zum Zitat Kumar, S., & Pandey, P. (2018, March). A smart healthcare monitoring system using smartphone interface. In 2018 4th international conference on devices, circuits and systems (ICDCS) (pp. 228–231). IEEE.‏ Kumar, S., & Pandey, P. (2018, March). A smart healthcare monitoring system using smartphone interface. In 2018 4th international conference on devices, circuits and systems (ICDCS) (pp. 228–231). IEEE.‏
62.
Zurück zum Zitat Gaur, B., Shukla, V. K., & Verma, A. (2019, April). Strengthening people analytics through wearable IOT device for real-time data collection. In 2019 international conference on automation, computational and technology management (ICACTM) (pp. 555–560). IEEE.‏ Gaur, B., Shukla, V. K., & Verma, A. (2019, April). Strengthening people analytics through wearable IOT device for real-time data collection. In 2019 international conference on automation, computational and technology management (ICACTM) (pp. 555–560). IEEE.‏
63.
Zurück zum Zitat Hanada, E., & Kudou, T. (2018, May). Managing the electromagnetic environment of hospital IoT systems. In 2018 IEEE international symposium on electromagnetic compatibility and 2018 IEEE Asia-Pacific symposium on electromagnetic compatibility (EMC/APEMC) (pp. 940–943). IEEE.‏ Hanada, E., & Kudou, T. (2018, May). Managing the electromagnetic environment of hospital IoT systems. In 2018 IEEE international symposium on electromagnetic compatibility and 2018 IEEE Asia-Pacific symposium on electromagnetic compatibility (EMC/APEMC) (pp. 940–943). IEEE.‏
64.
Zurück zum Zitat Mumtaj, S. Y., & Umamakeswari, A. (2017, August). Neuro fuzzy based healthcare system using IoT. In 2017 international conference on energy, communication, data analytics and soft computing (ICECDS) (pp. 2299–2303). IEEE.‏ Mumtaj, S. Y., & Umamakeswari, A. (2017, August). Neuro fuzzy based healthcare system using IoT. In 2017 international conference on energy, communication, data analytics and soft computing (ICECDS) (pp. 2299–2303). IEEE.‏
65.
Zurück zum Zitat Izaddoost, A., & McGregor, C. (2016, October). Enhance network communications in a cloud-based real-time health analytics platform using SDN. In 2016 IEEE international conference on healthcare informatics (ICHI) (pp. 388–391). IEEE.‏ Izaddoost, A., & McGregor, C. (2016, October). Enhance network communications in a cloud-based real-time health analytics platform using SDN. In 2016 IEEE international conference on healthcare informatics (ICHI) (pp. 388–391). IEEE.‏
66.
Zurück zum Zitat Khan, A. U., Rahman, A., & Khan, N. (2016, August). Optimum placement of gateway node on human body for real-time healthcare monitoring using WBAN. In 2016 sixth international conference on innovative computing technology (INTECH) (pp. 408–412). IEEE.‏ Khan, A. U., Rahman, A., & Khan, N. (2016, August). Optimum placement of gateway node on human body for real-time healthcare monitoring using WBAN. In 2016 sixth international conference on innovative computing technology (INTECH) (pp. 408–412). IEEE.‏
67.
Zurück zum Zitat Tan, B., & Tian, O. (2014, March). Short paper: Using BSN for tele-health application in upper limb rehabilitation. In 2014 IEEE world forum on Internet of Things (WF-IoT) (pp. 169–170). IEEE.‏ Tan, B., & Tian, O. (2014, March). Short paper: Using BSN for tele-health application in upper limb rehabilitation. In 2014 IEEE world forum on Internet of Things (WF-IoT) (pp. 169–170). IEEE.‏
68.
Zurück zum Zitat Divakaran, S., Manukonda, L., Sravya, N., Morais, M. M., & Janani, P. (2017, September). IOT clinic-Internet based patient monitoring and diagnosis system. In 2017 IEEE international conference on power, control, signals and instrumentation engineering (ICPCSI) (pp. 2858–2862). IEEE.‏ Divakaran, S., Manukonda, L., Sravya, N., Morais, M. M., & Janani, P. (2017, September). IOT clinic-Internet based patient monitoring and diagnosis system. In 2017 IEEE international conference on power, control, signals and instrumentation engineering (ICPCSI) (pp. 2858–2862). IEEE.‏
69.
Zurück zum Zitat Kadhim, K. T., Alsahlany, A. M., Wadi, S. M., & Kadhum, H. T. (2020). Monitor human vital signs based on IoT technology using MQTT protocol. In Proceedings of international conference on applied science and technology (ICAST), April, 2020. Kadhim, K. T., Alsahlany, A. M., Wadi, S. M., & Kadhum, H. T. (2020). Monitor human vital signs based on IoT technology using MQTT protocol. In Proceedings of international conference on applied science and technology (ICAST), April, 2020.
70.
Zurück zum Zitat Sloane, E. B., & Gehlot, V. (2016, April). Improved population health surveillance and chronic disease management using secure email: Application of the DIRECT, IEEE 11073, HITSP, and IHE standards and protocols. In 2016 18th Mediterranean electrotechnical conference (MELECON) (pp. 1–3). IEEE.‏ Sloane, E. B., & Gehlot, V. (2016, April). Improved population health surveillance and chronic disease management using secure email: Application of the DIRECT, IEEE 11073, HITSP, and IHE standards and protocols. In 2016 18th Mediterranean electrotechnical conference (MELECON) (pp. 1–3). IEEE.‏
71.
Zurück zum Zitat Kalyankar, G. D., Poojara, S. R., & Dharwadkar, N. V. (2017, February). Predictive analysis of diabetic patient data using machine learning and Hadoop. In 2017 international conference on I-SMAC (IoT in social, mobile, analytics and cloud) (I-SMAC) (pp. 619–624). IEEE.‏ Kalyankar, G. D., Poojara, S. R., & Dharwadkar, N. V. (2017, February). Predictive analysis of diabetic patient data using machine learning and Hadoop. In 2017 international conference on I-SMAC (IoT in social, mobile, analytics and cloud) (I-SMAC) (pp. 619–624). IEEE.‏
72.
Zurück zum Zitat Elmisery, A. M., Rho, S., & Botvich, D. (2016). A fog based middleware for automated compliance with OECD privacy principles in internet of healthcare things. IEEE Access, 4, 8418–8441. Elmisery, A. M., Rho, S., & Botvich, D. (2016). A fog based middleware for automated compliance with OECD privacy principles in internet of healthcare things. IEEE Access, 4, 8418–8441.
73.
Zurück zum Zitat Muhammed, T., Mehmood, R., Albeshri, A., & Katib, I. (2018). UbeHealth: A personalized ubiquitous cloud and edge-enabled networked healthcare system for smart cities. IEEE Access, 6, 32258–32285. Muhammed, T., Mehmood, R., Albeshri, A., & Katib, I. (2018). UbeHealth: A personalized ubiquitous cloud and edge-enabled networked healthcare system for smart cities. IEEE Access, 6, 32258–32285.
74.
Zurück zum Zitat Alharam, A. K., & El-madany, W. (2017, August). Complexity of cyber security architecture for IoT Healthcare industry: A comparative study. In 2017 5th international conference on future internet of things and cloud workshops (FiCloudW) (pp. 246–250). IEEE.‏ Alharam, A. K., & El-madany, W. (2017, August). Complexity of cyber security architecture for IoT Healthcare industry: A comparative study. In 2017 5th international conference on future internet of things and cloud workshops (FiCloudW) (pp. 246–250). IEEE.‏
75.
Zurück zum Zitat Knickerbocker, J., Budd, R., Dang, B., Chen, Q., Colgan, E., Hung, L. W., et al. (2018, May). Heterogeneous integration technology demonstrations for future healthcare, IoT, and AI computing solutions. In 2018 IEEE 68th electronic components and technology conference (ECTC) (pp. 1519–1528). IEEE.‏ Knickerbocker, J., Budd, R., Dang, B., Chen, Q., Colgan, E., Hung, L. W., et al. (2018, May). Heterogeneous integration technology demonstrations for future healthcare, IoT, and AI computing solutions. In 2018 IEEE 68th electronic components and technology conference (ECTC) (pp. 1519–1528). IEEE.‏
76.
Zurück zum Zitat Sodhro, A. H., Pirbhulal, S., & de Albuquerque, V. H. C. (2019). Artificial intelligence-driven mechanism for edge computing-based industrial applications. IEEE Transactions on Industrial Informatics, 15(7), 4235–4243. Sodhro, A. H., Pirbhulal, S., & de Albuquerque, V. H. C. (2019). Artificial intelligence-driven mechanism for edge computing-based industrial applications. IEEE Transactions on Industrial Informatics, 15(7), 4235–4243.
77.
Zurück zum Zitat Dash, S., Shakyawar, S. K., Sharma, M., & Kaushik, S. (2019). Big data in healthcare: Management, analysis and future prospects. Journal of Big Data, 6(1), 54. Dash, S., Shakyawar, S. K., Sharma, M., & Kaushik, S. (2019). Big data in healthcare: Management, analysis and future prospects. Journal of Big Data, 6(1), 54.
79.
Zurück zum Zitat Aldeer, M., Javanmard, M., & Martin, R. P. (2018). A review of medication adherence monitoring technologies. Applied System Innovation, 1(2), 14. Aldeer, M., Javanmard, M., & Martin, R. P. (2018). A review of medication adherence monitoring technologies. Applied System Innovation, 1(2), 14.
80.
Zurück zum Zitat Shubair, R. M., Elayan, H. (2015). In vivo wireless body communications: State-of-the-art and future directions. In Proceedings of the Loughborough antennas & propagation conference (LAPC), Loughborough, UK, November 2–3, 2015 (pp. 1–5). Shubair, R. M., Elayan, H. (2015). In vivo wireless body communications: State-of-the-art and future directions. In Proceedings of the Loughborough antennas & propagation conference (LAPC), Loughborough, UK, November 2–3, 2015 (pp. 1–5).
81.
Zurück zum Zitat Demir, A. F., Ankarali, Z. E., Abbasi, Q. H., Liu, Y., Qaraqe, K., Serpedin, E., et al. (2016). In vivo communications: Steps toward the next generation of implantable devices. IEEE Transactions on Vehicular Technology, 11, 32–42. Demir, A. F., Ankarali, Z. E., Abbasi, Q. H., Liu, Y., Qaraqe, K., Serpedin, E., et al. (2016). In vivo communications: Steps toward the next generation of implantable devices. IEEE Transactions on Vehicular Technology, 11, 32–42.
82.
Zurück zum Zitat Kiourti, A., & Nikita, K. S. (2017). A review of in-body biotelemetry devices: Implantables, ingestibles, and injectables. IEEE Transactions on Biomedical Engineering, 64, 1422–1430. Kiourti, A., & Nikita, K. S. (2017). A review of in-body biotelemetry devices: Implantables, ingestibles, and injectables. IEEE Transactions on Biomedical Engineering, 64, 1422–1430.
83.
Zurück zum Zitat Chai, P. R., Rosen, R. K., & Boyer, E. W. (2016). Ingestible biosensors for real-time medical adherence monitoring: MyTMed. In Proceedings of the 2016 49th Hawaii international conference on system sciences (HICSS), Koloa, HI, USA, January 5–8, 2016 (pp. 3416–3423). Chai, P. R., Rosen, R. K., & Boyer, E. W. (2016). Ingestible biosensors for real-time medical adherence monitoring: MyTMed. In Proceedings of the 2016 49th Hawaii international conference on system sciences (HICSS), Koloa, HI, USA, January 5–8, 2016 (pp. 3416–3423).
84.
Zurück zum Zitat Connor, J., Rafter, N., & Rodgers, A. (2004). Do fixed-dose combination pills or unit-of-use packaging improve adherence? A systematic review. Bulletin of the World Health Organization., 82, 935–939. Connor, J., Rafter, N., & Rodgers, A. (2004). Do fixed-dose combination pills or unit-of-use packaging improve adherence? A systematic review. Bulletin of the World Health Organization., 82, 935–939.
85.
Zurück zum Zitat Hafezi, H., Robertson, T. L., Moon, G. D., Au-Yeung, K. Y., Zdeblick, M. J., & Savage, G. M. (2015). An ingestible sensor for measuring medication adherence. IEEE Transactions on Biomedical Engineering, 62, 99–109. Hafezi, H., Robertson, T. L., Moon, G. D., Au-Yeung, K. Y., Zdeblick, M. J., & Savage, G. M. (2015). An ingestible sensor for measuring medication adherence. IEEE Transactions on Biomedical Engineering, 62, 99–109.
86.
Zurück zum Zitat Dua, A., Weeks, W. A., Berstein, A., Azevedo, R. G., Li, R., Ward, A. (2017). An in-vivo communication system for monitoring medication adherence. In Proceedings of the wireless communications and networking conference (WCNC), San Francisco, CA, USA, March 19–22, 2017 (pp. 1–6). Dua, A., Weeks, W. A., Berstein, A., Azevedo, R. G., Li, R., Ward, A. (2017). An in-vivo communication system for monitoring medication adherence. In Proceedings of the wireless communications and networking conference (WCNC), San Francisco, CA, USA, March 19–22, 2017 (pp. 1–6).
87.
Zurück zum Zitat DiCarlo, L., Moon, G., Intondi, A., Duck, R., Frank, J., Hafazi, H., et al. (2012). A digital health solution for using and managing medications: Wirelessly observed therapy. IEEE Pulse, 3, 23–26. DiCarlo, L., Moon, G., Intondi, A., Duck, R., Frank, J., Hafazi, H., et al. (2012). A digital health solution for using and managing medications: Wirelessly observed therapy. IEEE Pulse, 3, 23–26.
88.
Zurück zum Zitat Rghioui, A., & Oumnad, A. (2018). Challenges and opportunities of Internet of Things in healthcare. International Journal of Electrical and Computer Engineering, 8(5), 2753. Rghioui, A., & Oumnad, A. (2018). Challenges and opportunities of Internet of Things in healthcare. International Journal of Electrical and Computer Engineering, 8(5), 2753.
89.
Zurück zum Zitat Noura, M., Atiquzzaman, M., & Gaedke, M. (2019). Interoperability in internet of things: Taxonomies and open challenges. Mobile Networks and Applications, 24(3), 796–809. Noura, M., Atiquzzaman, M., & Gaedke, M. (2019). Interoperability in internet of things: Taxonomies and open challenges. Mobile Networks and Applications, 24(3), 796–809.
90.
Zurück zum Zitat Rubí, S., Jesús, N., Gondim, L., & Paulo, R. (2019). IoMT platform for pervasive healthcare data aggregation, processing, and sharing based on OneM2M and OpenEHR. Sensors, 19(19), 4283. Rubí, S., Jesús, N., Gondim, L., & Paulo, R. (2019). IoMT platform for pervasive healthcare data aggregation, processing, and sharing based on OneM2M and OpenEHR. Sensors, 19(19), 4283.
91.
Zurück zum Zitat Muzammal, M., Talat, R., Sodhro, A. H., & Pirbhulal, S. (2020). A multi-sensor data fusion enabled ensemble approach for medical data from body sensor networks. Information Fusion, 53, 155–164. Muzammal, M., Talat, R., Sodhro, A. H., & Pirbhulal, S. (2020). A multi-sensor data fusion enabled ensemble approach for medical data from body sensor networks. Information Fusion, 53, 155–164.
92.
Zurück zum Zitat Ibrahim, A. K. M., Rashid, R. A., Hamid, A. H. F. A., Sarijari, M. A., & Baharudin, M. A. (2019). Lightweight IoT middleware for rapid application development. Telkomnika, 17(3), 1385–1392. Ibrahim, A. K. M., Rashid, R. A., Hamid, A. H. F. A., Sarijari, M. A., & Baharudin, M. A. (2019). Lightweight IoT middleware for rapid application development. Telkomnika, 17(3), 1385–1392.
93.
Zurück zum Zitat Sodhro, A. H., Luo, Z., Sodhro, G. H., Muzamal, M., Rodrigues, J. J., & de Albuquerque, V. H. C. (2019). Artificial Intelligence based QoS optimization for multimedia communication in IoV systems. Future Generation Computer Systems, 95, 667–680. Sodhro, A. H., Luo, Z., Sodhro, G. H., Muzamal, M., Rodrigues, J. J., & de Albuquerque, V. H. C. (2019). Artificial Intelligence based QoS optimization for multimedia communication in IoV systems. Future Generation Computer Systems, 95, 667–680.
94.
Zurück zum Zitat Sodhro, A. H., Malokani, A. S., Sodhro, G. H., Muzammal, M., & Zongwei, L. (2020). An adaptive QoS computation for medical data processing in intelligent healthcare applications. Neural Computing and Applications, 32(3), 723–734. Sodhro, A. H., Malokani, A. S., Sodhro, G. H., Muzammal, M., & Zongwei, L. (2020). An adaptive QoS computation for medical data processing in intelligent healthcare applications. Neural Computing and Applications, 32(3), 723–734.
95.
Zurück zum Zitat Sodhro, A. H., Obaidat, M. S., Abbasi, Q. H., Pace, P., Pirbhulal, S., Fortino, G., et al. (2019). Quality of service optimization in an IoT-driven intelligent transportation system. IEEE Wireless Communications, 26(6), 10–17. Sodhro, A. H., Obaidat, M. S., Abbasi, Q. H., Pace, P., Pirbhulal, S., Fortino, G., et al. (2019). Quality of service optimization in an IoT-driven intelligent transportation system. IEEE Wireless Communications, 26(6), 10–17.
96.
Zurück zum Zitat Sodhro, A. H., Pirbhulal, S., Luo, Z., & de Albuquerque, V. H. C. (2019). Towards an optimal resource management for IoT based Green and sustainable smart cities. Journal of Cleaner Production, 220, 1167–1179. Sodhro, A. H., Pirbhulal, S., Luo, Z., & de Albuquerque, V. H. C. (2019). Towards an optimal resource management for IoT based Green and sustainable smart cities. Journal of Cleaner Production, 220, 1167–1179.
97.
Zurück zum Zitat Ventola, C. L. (2014). Social media and health care professionals: Benefits, risks, and best practices. Pharmacy and Therapeutics, 39(7), 491. Ventola, C. L. (2014). Social media and health care professionals: Benefits, risks, and best practices. Pharmacy and Therapeutics, 39(7), 491.
98.
Zurück zum Zitat Pentescu, A., Cetină, I., & Orzan, G. (2015). Social media’s impact on healthcare services. Procedia Economics and Finance, 27, 646–651. Pentescu, A., Cetină, I., & Orzan, G. (2015). Social media’s impact on healthcare services. Procedia Economics and Finance, 27, 646–651.
99.
Zurück zum Zitat Ventola, C. L. (2014). Mobile devices and apps for health care professionals: Uses and benefits. Pharmacy and Therapeutics, 39(5), 356. Ventola, C. L. (2014). Mobile devices and apps for health care professionals: Uses and benefits. Pharmacy and Therapeutics, 39(5), 356.
100.
Zurück zum Zitat Al-Khafajiy, M., Kolivand, H., Baker, T., Tully, D., & Waraich, A. (2019). Smart hospital emergency system. Multimedia Tools and Applications, 78(14), 20087–20111. Al-Khafajiy, M., Kolivand, H., Baker, T., Tully, D., & Waraich, A. (2019). Smart hospital emergency system. Multimedia Tools and Applications, 78(14), 20087–20111.
101.
Zurück zum Zitat Dingley, C., Daugherty, K., Derieg, M. K., & Persing, R. (2008). Improving patient safety through provider communication strategy enhancements. In K. Henriksen, J. B. Battles, M. A. Keyes, & M. L. Grady (Eds.), Advances in patient safety: New directions and alternative approaches (Vol. 3: Performance and tools). Rockville: Agency for Healthcare Research and Quality (US). Dingley, C., Daugherty, K., Derieg, M. K., & Persing, R. (2008). Improving patient safety through provider communication strategy enhancements. In K. Henriksen, J. B. Battles, M. A. Keyes, & M. L. Grady (Eds.), Advances in patient safety: New directions and alternative approaches (Vol. 3: Performance and tools). Rockville: Agency for Healthcare Research and Quality (US).
102.
Zurück zum Zitat Yogaraj, A., Ezilarasan, M. R., Anuroop, R. V., Sivanthiram, C. S., & Thakur, S. K. (2017). IOT based smart healthcare monitoring system for rural/isolated areas. International Journal of Pure and Applied Mathematics, 114(12), 679–688. Yogaraj, A., Ezilarasan, M. R., Anuroop, R. V., Sivanthiram, C. S., & Thakur, S. K. (2017). IOT based smart healthcare monitoring system for rural/isolated areas. International Journal of Pure and Applied Mathematics, 114(12), 679–688.
Metadaten
Titel
An Overview of Patient’s Health Status Monitoring System Based on Internet of Things (IoT)
verfasst von
Kadhim Takleef Kadhim
Ali M. Alsahlany
Salim Muhsin Wadi
Hussein T. Kadhum
Publikationsdatum
15.05.2020
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 3/2020
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-020-07474-0

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