Abstract
With the recent technological advancements, The Internet of Things offers numerous and potentially revolutionary benefits to all aspects of today’s digital world. Personalised and connected healthcare is one of the most promising areas. IoT is multidiscipline research area, which envisages a number of technologies, such as sensing, networking, data management, artificial intelligence and so on. Sensors and smart devices are the fundamental elements for observing the participants and their surrounding environment. In terms of networking and communications, several techniques have been widely adopted, for example, NB-IoT, ZigBee, Wi-Fi, 4G/5G etc. In addition, Big Data, Cloud computing are often embedded for data storage and analysing. Here as, this paper surveys the emerging IoT technologies and typical applications in healthcare.
This work is supported by NanTong Science and Technology Bureau under grant JC2018132 and National Natural Science Foundation of China under grant 62002179 within Nantong University China.
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References
Firouzi, F., Farahani, B., Ibrahim, M., Chakrabarty, K.: Keynote paper: from EDA to IoT eHealth: promises, challenges, and solutions. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(12), 2965–2978 (2018)
Tokognon, C.A., Gao, B., Tian, G.Y., Yan, Y.: Structural health monitoring framework based on internet of things: a survey. IEEE Internet Things J. 4(3), 619–635 (2017)
Yacchirema, D.C., Sarabia-JCome, D., Palau, C.E., Esteve, M.: A smart system for sleep monitoring by integrating IoT with big data analytics. IEEE Access 6, 35988–36001 (2018)
Yang, G.: IoT-based remote pain monitoring system: from device to cloud platform. IEEE J. Biomed. Health Inform. 22(6), 1711–1719 (2018)
Haghi, M.: A flexible and pervasive IoT-based healthcare platform for physiological and environmental parameters monitoring. IEEE Internet Things J. 7(6), 5628–5647 (2020)
Xu, G.: IoT-assisted ECG monitoring framework with secure data transmission for health care applications. IEEE Access. 8, 74586–74594 (2020)
Mostafa, H., Sebastian, N., Andre, G., Heidi, F., Norber, S., Kerstin, T.: A flexible and pervasive IOT-based healthcare platform for physiological and environmental parameters monitoring. IEEE Internet Things J. 7(6), 5628–5647 (2020)
Ren, H., Jin, H., Chen, C., Ghayvat, H., Chen, W.: A novel cardiac auscultation monitoring system based on wireless sensing for healthcare. IEEE J. Transl. Eng. Health Med. 6, 1–12 (2018)
Sundaravadivel, P., Kesavan, K., Kesavan, L., Mohanty, S.P., Kougianos, E.: Smart-log: a deep-learning based automated nutrition monitoring system in the IoT. IEEE Trans. Consum. Electron. 64(3), 390–398 (2018)
Akay, B.: Human activity recognition based on parallel approximation kernel k-means algorithm. Comput. Syst. Sci. Eng. 35(6), 441–456 (2020)
Kabir, M.H., Thapa, K., Yang, J., Yang, S.H.: State-space based linear modeling for human activity recognition in smart space. Intell. Autom. Soft Comput. 25(4), 673–681 (2019)
Zhou, Z., Yu, H., Shi, H.: Human activity recognition based on improved Bayesian convolution network to analyze health care data using wearable IoT device. IEEE Access. 8, 86411–86418 (2020)
Choe, S., Cho, W., Kim, J., Kim, A.K.: Reducing operational time complexity of k-NN algorithms using clustering in wrist-activity recognition. Intell. Autom. Soft Comput. 26(4), 679–671 (2020)
Gumaei, A., Al-Rakhami, M., AlSalman, H.: DL-HAR: deep learning-based human activity recognition framework for edge computing. Comput. Mater. Continua 65(2), 1033–1057 (2020)
Yang, G.: A health-IoT platform based on the integration of intelligent packaging, unobtrusive bio-sensor, and intelligent medicine box. IEEE Trans. Industr. Inf. 10(4), 2180–2191 (2014)
Alam, M.M., Malik, H., Khan, M.I., Pardy, T., Kuusik, A., Moullec, Y.L.: A survey on the roles of communication technologies in IoT-based personalized healthcare applications. IEEE Access 6, 36611–36631 (2018)
Ismail, W.N., Hassan, M.M., Alsalamah, H.A., Fortino, G.: CNN-based health model for regular health factors analysis in internet-of-medical things environment. IEEE Access 8, 52541–52549 (2020)
Hooshmand, M., Zordan, D., Testa, D., Grisan, E., Rossi, M.: Boosting the battery life of wearables for health monitoring through the compression of biosignals. IEEE Internet Things J. 4(5), 1647–1662 (2017)
Chen, Y., Sun, W., Zhang, N., Zheng, Q., Lou, W., Hou, Y.T.: Towards efficient fine-grained access control and trustworthy data processing for remote monitoring services in IoT. IEEE Trans. Inf. Forensics Secur. 14(7), 1830–1842 (2019)
Verma, P., Sood, S.K.: Fog assisted-IoT enabled patient health monitoring in smart homes. IEEE Internet Things J. 5(3), 1789–1796 (2018)
Kun, W., Yun, S., Lei, X., Jie, W., Song, G.: Adaptive and fault-tolerant data processing in healthcare IoT based on fog computing. IEEE Trans. Netw. Sci. Eng. 7(1), 263–273 (2020)
Pathinarupothi, R.K., Durga, P., Rangan, E.S.: IoT-based smart edge for global health: remote monitoring with severity detection and alerts transmission. IEEE Internet Things J. 6(2), 2449–2462 (2019)
Po, Y., et al.: Lifelogging data validation model for internet of things enabled personalized healthcare. IEEE Trans. Syst. Man Cybern. 48(1), 50–64 (2018)
Kumar, A., Krishnamurthi, R., Nayyar, A., Sharma, K., Grover, V., Hossain, E.: A novel smart healthcare design, simulation, and implementation using healthcare 4.0 processes. IEEE Access. 1–39 (2020). (Online Access)
Abdul, A., Mohammad, T., Kok-lim, A.Y.: 5G-based smart healthcare network: architecture, taxonomy, challenges and future research directions. IEEE Access 7, 100747–100762 (2019)
Yazdan, A.Q., Ali, N., Yousaf, B.Z., Athanasios, V.V., Sung, W.K.: The future of healthcare internet of things: a survey of emerging technologies. IEEE Commun. Surve. Tutor. 22(2), 1121–1167 (2020)
Kumar, N.: IoT architecture and system design for healthcare systems. In: SmartTechCon Proceedings, Bangalore, pp. 1118–1123 (2017)
Shaikh, Y. Parvati, V. K. Biradar, S. R.: Survey of smart healthcare systems using internet of things (IoT): (invited paper). In: IC3IoT Proceedings, Chennai, India, pp. 508–513 (2018)
Udhir, K.F., Sharath, A.: Narrowband IoT for healthcare. In: Proceedings of International Conference on Information Communication and Embedded Systems, pp. 1–4. IEEE, Chennai (2017)
Zhao, C., Wang, T., Yang, A.: A heterogeneous virtual machines resource allocation scheme in slices architecture of 5G edge datacenter. Comput. Mater. Continua 61(1), 423–437 (2019)
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This work is supported by NanTong Science and Technology Bureau under grant JC2018132 and National Natural Science Foundation of China under grant 62002179 within Nantong University China.
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Chen, S., Jin, X., Zhang, L., Wan, J. (2021). A Comprehensive Review of IoT Technologies and Applications for Healthcare. In: Sun, X., Zhang, X., Xia, Z., Bertino, E. (eds) Advances in Artificial Intelligence and Security. ICAIS 2021. Communications in Computer and Information Science, vol 1424. Springer, Cham. https://doi.org/10.1007/978-3-030-78621-2_29
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DOI: https://doi.org/10.1007/978-3-030-78621-2_29
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