IoT-Enabled Remote Monitoring Techniques for Healthcare Applications -- An Overview

Shajulin Benedict

Abstract


IoT-enabled remote healthcare monitoring applications have surged against countless other technologies to assist patients. Recently, the healthcare sector has sought a devastating escalation in augmenting appropriate monitoring technologies for effective remote monitoring and improved diagnostics during the pandemic era -- i.e., the existing methods need to be revamped with sophisticated technologies. In this paper, remote monitoring techniques proposed for healthcare applications and their challenges are surveyed. In addition, a healthcare architecture for effective remote monitoring is explored. It was observed that most of the solutions focused on the application of edge analytics and deep learning mechanisms. The review aimed at guiding healthcare practitioners and developers to understand the pitfalls of existing approaches and to innovate solutions in newer dimensions.

Full Text:

PDF

References


Abdel-Basset M., Manogaran G., A. Gamal and V. Chang, A Novel Intelligent Medical Decision Sup-port Model Based on Soft Computing and IoT, in IEEE Internet of Things Journal, vol. 7, no. 5, doi:10.1109/JIOT.2019.2931647, pp. 4160-4170, 2020.

Abdullah A., Ontology Middleware for Integration of IoT Healthcare Information Systems in EHR Systems., Com-puters. Vol.7, No. 51, doi:10.3390/computers7040051, pp. 1–15, 2018.

Abuelkhail, A., Baroudi, U., Raad, M. et al. Internet of things for healthcare monitoring applications based on RFIDclustering scheme. Wireless Netw, Vol. 27,https://doi.org/10.1007/s11276-020-02482-1, pp. 747–763,2021.

Ali Burak ̈Unal and Mete Akg ̈un and Nico Pfeifer, ESCAPED: Efficient Secure and Private Dot Product Frameworkfor Kernel-based Machine Learning Algorithms with Applications in Healthcare, arXiV, 2012.02688, pp. 9982-9995, 2020.

Alromaihi S., W. Elmedany and C. Balakrishna, Cyber Security Challenges of Deploying IoT in Smart Cities forHealthcare Applications, 2018 6th International Conference on Future Internet of Things and Cloud Workshops(FiCloudW), doi: 10.1109/W-FiCloud.2018.00028, pp. 140-145, 2018.

Aktas F., Ceken C. and Erdemli Y.E., IoT-Based Healthcare Framework for Biomedical Applications, J. Med. Biol.Eng. Vol. 38, doi:https://doi.org/10.1007/s40846-017-0349-7, pp. 966–979, 2018.

Akrivopoulos O., I. Chatzigiannakis, C. Tselios and A. Antoniou, On the Deployment of Healthcare Applicationsover Fog Computing Infrastructure, IEEE 41st Annual Computer Software and Applications Conference (COMP-SAC), doi: 10.1109/COMPSAC.2017.178., pp. 288-293, 2017.

Aladwani T., Scheduling IoT Healthcare Tasks in Fog Computing Based on their Importance, in Procedia ComputerScience, Vol.163, DOI=10.1016/j.procs.2019.12.138, pp. 560–569, 2019.

Alam A.A., H. Malik, M. I. Khan, T. Pardy, A. Kuusik and Y. Le Moullec, A Survey on the Roles of Communi-cation Technologies in IoT-Based Personalized Healthcare Applications, in IEEE Access, vol. 6, doi: 10.1109/AC-CESS.2018.2853148, pp. 36611-36631, 2018.

A.S. Albahri and Jwan K. Alwan and Zahraa K. Taha and Sura F. Ismail and Rula A. Hamid and A.A. Zaidanand O.S. Albahri and B.B. Zaidan and A.H. Alamoodi and M.A. Alsalem, IoT-based telemedicine for diseaseprevention and health promotion: State-of-the-Art, in JNCA, Vol. 173, No. 102873, doi:https://doi.org/10.1016/j.jnca.2020.102873, pp. 1–52, 2021.

Amin Ul Haq, Victor Ejianya, Jalaluddin Khan, Asif Khan, Mudassir Khalil, Amjad Ali, Ghufran A. khan, Mo-hammad Shahid, Bilal Ahamad, Amit Yadav et al., A New Approach for Enhancing the Services of the 5G MobileNetwork and IOT-Related Communication Devices Using Wavelet-OFDM and Its Applications in Healthcare, Vol.2020,https://doi.org/10.1155/2020/3204695, pp. 1–13, 2020.

Anand S. and S. K. Routray, Issues and challenges in healthcare narrowband IoT, 2017 International Conferenceon Inventive Communication and Computational Technologies (ICICCT), doi: 10.1109/ICICCT.2017.7975247,pp. 486-489, 2017.

Ara ́ujo ́Italo Linhares De, Costa Junior Evilasio, Duarte Paulo, Santos Ismayle De Sousa, Oliveira Pedro AlmirMartins De, Mendes C ́ıcero Marcelo Oliveira, Andrade Rossana Maria De Castro, Towards a Taxonomy for theDevelopment of Older Adults Healthcare Applications, in Proc. of the 53rd Hawaii International Conference onSystem Sciences, DOI: 10.24251/HICSS.2020.430, 2020.

Aujla G.S. and A. Jindal, A Decoupled Blockchain Approach for Edge-Envisioned IoT-Based Healthcare Monitor-ing, in IEEE Journal on Selected Areas in Communications, vol. 39, no. 2, doi: 10.1109/JSAC.2020.3020655, pp.491-499, Feb. 2021.

Azimi I., J. Takalo-Mattila, A. Anzanpour, A. M. Rahmani, J. Soininen and P. Liljeberg, Empowering HealthcareIoT Systems with Hierarchical Edge-Based Deep Learning, 2018 IEEE/ACM International Conference on Con-nected Health: Applications, Systems and Engineering Technologies (CHASE), doi: 10.1145/3278576.3278597,pp. 63-68, 2018.

Bahar Farahani and Farshad Firouzi and Victor Chang and Mustafa Badaroglu and Nicholas Constant and KunalMankodiya, Towards fog-driven IoT eHealth: Promises and challenges of IoT in medicine and healthcare, in Future20

Generation Computer Systems, Vol. 78, doi:https://doi.org/10.1016/j.future.2017.04.036, pp. 659-676, 2018.

Bhattacharya P., S. Tanwar, U. Bodkhe, S. Tyagi and N. Kumar, BinDaaS: Blockchain-Based Deep-Learning as-a-Service in Healthcare 4.0 Applications, in IEEE Transactions on Network Science and Engineering, Vol. 8, No. 2,pp. 1242-1255, doi: 10.1109/TNSE.2019.2961932, 2021.

Bharathi R., T. Abirami, S. Dhanasekaran, Deepak Gupta, Ashish Khanna, Mohamed Elhoseny, K. Shankar, En-ergy efficient clustering with disease diagnosis model for IoT based sustainable healthcare systems, SustainableComputing: Informatics and Systems, Vol. 28, No.100453, 2020.

Cansu Eken, and Hanim E, Security Threats and Recommendation in IoT Healthcare, doi. 10.3384/ecp17142369,pp. 369-374, 2016.

Chao Li and Xiangpei Hu and Lili Zhang, The IoT-based heart disease monitoring system for pervasive healthcareservice, in Procedia Computer Science, Vol. 112, doi:https://doi.org/10.1016/j.procs.2017.08.265, pp.2328-2334, 2017.

David Charlas Amos, Remote patient monitoring, patent,https://lens.org/010-983-959-342-733, 2017.

De Morais Barroca Filho I., De Aquino Junior G.S., IoT-Based Healthcare Applications: A Review. In: Gervasi O.et al. (eds) Computational Science and Its Applications – ICCSA 2017. ICCSA 2017. Lecture Notes in ComputerScience, Vol. 10409,https://doi.org/10.1007/978-3-319-62407-5_4, 2017.

Dehai Zhang, Xiaoqiang Xia, Yun Yang, Po Yang, Cheng Xie, Menglong Cui, Qing Liu, A novel word simi-larity measure method for IoT-enabled Healthcare applications, Future Generation Computer Systems, Vol. 114,doi:https://doi.org/10.1016/j.future.2020.07.053., pp. 209-218, 2021.

Dubey H., J. C. Goldberg, K. Makodiya, and L. Mahler, A multi-smartwatch system for assessing speech character-istics of people with dysarthria in group settings, in Proceedings e-Health Networking, Applications and Services(Healthcom), 2015 IEEE 17th International Conference on, Boston, USA, 2015.

Elhayatmy G., Dey N., Ashour A.S., Internet of Things Based Wireless Body Area Network in Healthcare. In:Dey N., Hassanien A., Bhatt C., Ashour A., Satapathy S. (eds) Internet of Things and Big Data Analytics To-ward Next-Generation Intelligence. Studies in Big Data, vol 30. Springer, Cham.https://doi.org/10.1007/978-3-319-60435-0_1, 2018.

Faris A. Almalki and Ben Othman Soufiene, EPPDA: An Efficient and Privacy-Preserving Data AggregationScheme with Authentication and Authorization for IoT-Based Healthcare Applications, Wireless Communicationsand Mobile Computing, Vol. 2021, No. 5594159,https://doi.org/10.1155/2021/5594159, pp. 1–18, 2021.

Fouad H., Azza S. Hassanein, Ahmed M. Soliman, Haytham Al-Feel, Analyzing patient health information basedon IoT sensor with AI for improving patient assistance in the future direction, in Measurement, Vol. 159, No.107757, DOI:https://doi.org/10.1016/j.measurement.2020.107757., pp. 1–11, 2020.

Guizani K. and S. Guizani, IoT Healthcare Monitoring Systems Overview for Elderly Population, 2020 Interna-tional Wireless Communications and Mobile Computing (IWCMC), doi: 10.1109/IWCMC48107.2020.9148446,pp. 2005-2009, 2020.

Haoxiang Wang, IoT based Clinical Sensor Data Management and Transfer using Blockchain Technology, in Jour-nal of ISMAC, Vol. 2, No.3, pp. 154-159, 2020.

Hassan Malik and Muhammad Mahtab Alam and Yannick Le Moullec and Alar Kuusik, NarrowBand-IoT Perfor-mance Analysis for Healthcare Applications, in Procedia Computer Science, Vol. 130, doi:https://doi.org/10.1016/j.procs.2018.04.156, pp. 1077-1083, 2018.

Indra P., Manikandan M., Multilevel Tetrolet transform based breast cancer classifier and diagnosis systemfor healthcare applications. J Ambient Intell Human Comput Vol. 12, DOI:https://doi.org/10.1007/s12652-020-01755-z, pp. 3969–3978, 2021.

Ifrim Claudia, and Pintilie, Andreea-Mihaela and, Apostol, Elena Simona and, Dobre, Ciprian and Pop, Florin, TheArt of Advanced Healthcare Applications in Big Data and IoT Systems, DOI:10.1007/978-3-319-45145-9_6,2017.

Jaiswal K., S. Sobhanayak, A. K. Turuk, S. L. Bibhudatta, B. K. Mohanta and D. Jena, An IoT-Cloud BasedSmart Healthcare Monitoring System Using Container Based Virtual Environment in Edge Device, InternationalConference on Emerging Trends and Innovations In Engineering And Technological Research (ICETIETR), doi:10.1109/ICETIETR.2018.8529141, pp. 1–7, 2018.

Jun Qi, Po Yang, Geyong Min, Oliver Amft, Feng Dong, Lida Xu, Advanced internet of things for personalisedhealthcare systems: A survey, Pervasive and Mobile Computing, Vol. 41, pp. 132-149, 2017.

K. Kadarla, S. C. Sharma, T. Bhardwaj and A. Chaudhary, A Simulation Study of Response Times in CloudEnvironment for IoT-Based Healthcare Workloads, 2017 IEEE 14th International Conference on Mobile Ad Hocand Sensor Systems (MASS), doi: 10.1109/MASS.2017.65, pp. 678-683, 2017.

Lakkis S.I., and M. Elshakankiri, IoT based emergency and operational services in medical care systems, 2017Internet of Things Business Models, Users, and Networks, doi: 10.1109/CTTE.2017.8260983, pp. 1-5, 2017.

Leila Ismail, Huned Materwala, and Alain Hennebelle, A Scoping Review of Integrated Blockchain-Cloud (BcC)21

Architecture for Healthcare: Applications, Challenges and Solutions, in Sensors, Vol. 21, No. 3753, pp. 1–23,2021.

Manogaran G., Thota C., Lopez D., Sundarasekar R., Big Data Security Intelligence for Healthcare Industry 4.0.In: Thames L., Schaefer D. (eds) Cybersecurity for Industry 4.0. Springer Series in Advanced Manufacturing.Springer, Cham.https://doi.org/10.1007/978-3-319-50660-9_5, 2017.

Matthew McGrath and Evan Alexander Dewhirst, Method Of Medical Imaging Using Multiple Arrays, patent,https://lens.org/041-801-178-563-669, 2021.

Min Woo Woo and JongWhi Lee and KeeHyun Park, A reliable IoT system for Personal Healthcare Devices, inFuture Generation Computer Systems, Vol. 78, doi:https://doi.org/10.1016/j.future.2017.04.004, pp.626-640, 2018.

Muneeb Ejaz, Tanesh Kumar, Ivana Kovacevic, Mika Ylianttila and Erkki Harjula, Health-BlockEdge: Blockchain-Edge Framework for Reliable Low-Latency Digital Healthcare Applications, in Sensors, Vol. 21, No. 2502,https://doi.org/10.3390/s21072502, 2021.

Naghshvarianjahromi N., S. Majumder, S. Kumar,and M. J. Deen, Natural Brain-Inspired Intelligence for Screeningin Healthcare Applications, in IEEE Access, Vol. 9, doi: 10.1109/ACCESS.2021.3077529, pp. 67957-67973, 2021.

Nidhya R., Karthik S., Smilarubavathy G. (2019) An End-to-End Secure and Energy-Aware Routing Mechanismfor IoT-Based Modern Health Care System. In: Wang J., Reddy G., Prasad V., Reddy V. (eds) Soft Computing andSignal Processing. Advances in Intelligent Systems and Computing, vol 900, DOI:https://doi.org/10.1007/978-981-13-3600-3_35, 2019.

Noemi S., Pieroni A., Luca D.N., Francesca F., E-health-IoT universe: A review. International Journal on AdvancedScience, Engineering and Information Technology, pp. 2328-2336, 2017.

Onasanya, A., Lakkis, S. and Elshakankiri, M., Implementing IoT/WSN based smart Saskatchewan Healthcare Sys-tems, in Wireless Networks, Vol. 25, doi:https://doi.org/10.1007/s11276-018-01931-2, pp. 3999–4020,2019.

Onasanya, A. and Maher E., Smart integrated IoT healthcare system for cancer care, in Wireless Networks, doi:https://doi.org/10.1007/s11276-018-01932-1, 2019.

Pace P., G. Aloi, R. Gravina, G. Caliciuri, G. Fortino and A. Liotta, An Edge-Based Architecture to SupportEfficient Applications for Healthcare Industry 4.0, in IEEE Transactions on Industrial Informatics, vol. 15, no. 1,doi: 10.1109/TII.2018.2843169, pp. 481-489, Jan. 2019.

Prabal Verma, Sandeep K. Sood, Cloud-centric IoT based disease diagnosis healthcare framework, Journal ofParallel and Distributed Computing, Vol. 116, pp. 27-38, 2018.

Priyan Malarvizhi Kumar, S. Lokesh, R. Varatharajan, Gokulnath Chandra Babu, P. Parthasarathy, Cloud andIoT based disease prediction and diagnosis system for healthcare using Fuzzy neural classifier, Future GenerationComputer Systems, Vol. 86, pp. 527-534, 2018.

Ravi Pratap Singh, Mohd Javaid, Abid Haleem, Rajiv Suman, Internet of things (IoT) applications to fight againstCOVID-19 pandemic, in Diabetes Metabolic Syndrome: Clinical Research Reviews, Vol.14, NO. 4, pp. 521–524,2020.

Redowan Mahmud, Fernando Luiz Koch, and Rajkumar Buyya, Cloud-Fog Interoperability in IoT-enabled Health-care Solutions, In Proceedings of the 19th International Conference on Distributed Computing and Networking(ICDCN ’18). Association for Computing Machinery, DOI:https://doi.org/10.1145/3154273.3154347,pp. 1–10, 2018.

Routray S.K. and S. Anand, Narrowband IoT for healthcare, 2017 International Conference on Information Com-munication and Embedded Systems (ICICES), doi: 10.1109/ICICES.2017.8070747, pp. 1-4, 2017.

Sallabi F., F. Naeem, M. Awad and K. Shuaib, Managing IoT-Based Smart Healthcare Systems Traffic with Soft-ware Defined Networks, International Symposium on Networks, Computers and Communications (ISNCC), doi:10.1109/ISNCC.2018.8530920, pp. 1–6, 2018.

Salahuddin M.A., A. Al-Fuqaha, M. Guizani, K. Shuaib and F. Sallabi, Softwarization of Internet of Things In-frastructure for Secure and Smart Healthcare, in Computer, vol. 50, no. 7, doi: 10.1109/MC.2017.195, pp. 74-79,2017.

Santiago Meli ́a, Shahabadin Nasabeh, Sergio Luj ́an-Mora, MoSIoT: Modeling and Simulating IoT Healthcare-Monitoring Systems for People with Disabilities, in International Journal of Environmental Research and PublicHealth and Cristina Cachero, VOl. 18, No. 6357, pp. 1–25, 2021.

Sebbak F., Benhammadi, F. Majority-consensus fusion approach for elderly IoT-based healthcare applications,Ann. Telecommun, Vol. 72,https://doi.org/10.1007/s12243-016-0550-7, pp. 157–171, 2017.

S. Sharma, K. Chen and A. Sheth, Toward Practical Privacy-Preserving Analytics for IoT and Cloud-Based Health-care Systems, in IEEE Internet Computing, vol. 22, no. 2, doi: 10.1109/MIC.2018.112102519, pp. 42-51, 2018.

Shah Nazir, Yasir Ali, Naeem Ullah, and Ivn Garcıa-Magari ̃no, Internet of Things for Healthcare Using Effects ofMobile Computing: A Systematic Literature Review, in Wireless Communications and Mobile Computing, Vol.2019, No. 5931315,https://doi.org/10.1155/2019/5931315, pp. 1–20. 2021.22

Sheth A., H. Y. Yip and S. Shekarpour, Extending Patient-Chatbot Experience with Internet-of-Things and Back-ground Knowledge: Case Studies with Healthcare Applications, in IEEE Intelligent Systems, Vol. 34, No. 4, doi:10.1109/MIS.2019.2905748, pp. 24-30, 2019.

Sivadi B., Thirumaran, M., Vijender Kumar S., IoT Sensor Data Integration in Healthcare using Semantics andMachine Learning Approaches, in A Handbook of Internet of Things in Biomedical and Cyber Physical System,doi:10.1007/978-3-030-23983-1_11, pp. 275–300, 2020.

Subramanian, Balaji, Nathani, Karan, Rathnasamy, Santhakumar, IoT Technology, Applications and Challenges:A Contemporary Survey. Wireless Personal Communications, DOI: 10.1007/s11277-019-06407-w, 2019.

Tan B. et al., Wi-Fi based passive human motion sensing for in-home healthcare applications, 2015 IEEE 2ndWorld Forum on Internet of Things (WF-IoT), doi: 10.1109/WF-IoT.2015.7389123., pp. 609-614, 2015.

Tang F., L. Zeng, F. Wang and J. Zhou, Adversarial Precision Sensing with Healthcare Applications, 2020 IEEEInternational Conference on Data Mining (ICDM), doi: 10.1109/ICDM50108.2020.00061, pp. 521-530, 2020.

Tawalbeh M., Quwaider M., and L. A. Tawalbeh, Authorization Model for IoT Healthcare Systems:Case Study, 2020 11th International Conference on Information and Communication Systems (ICICS), doi:10.1109/ICICS49469.2020.239527, pp. 337-342, 2020.

Tekeste T., H. Saleh, B. Mohammad and M. Ismail, Ultra-Low Power QRS Detection and ECG CompressionArchitecture for IoT Healthcare Devices, in IEEE Transactions on Circuits and Systems I: Regular Papers, Vol. 66,No. 2, doi: 10.1109/TCSI.2018.2867746, pp. 669-679, Feb. 2019.

Tsu-Yang Wu, Tao Wang, Yu-Qi Lee, Weimin Zheng, Saru Kumari, and Sachin Kumar, Improved AuthenticatedKey Agreement Scheme for Fog-Driven IoT Healthcare System, in Security and Communication Networks, Vol.2021, No. 6658041,https://doi.org/10.1155/2021/6658041, pp. 1–16, 2021.

Tun SYY, Madanian S, Mirza F. Internet of things (IoT) applications for elderly care: a reflective review, AgingClin Exp Res, VOl.33, No. 4, doi: 10.1007/s40520-020-01545-9, pp.855-867, 2020.

Ud Din, A. Almogren, M. Guizani and M. Zuair, A Decade of Internet of Things: Analysis in the Light of Health-care Applications, in IEEE Access, vol. 7, doi: 10.1109/ACCESS.2019.2927082, pp. 89967-89979, 2019.

Ungurean L. and A. Brezulianu, An internet of things framework for remote monitoring of the healthcare parame-ters, Adv. Electr. Comput. Eng., Vol. 17, No. 2, , doi: 10.4316/AECE.2017.02002, pp. 11–16, 2017.

Venceslau A., V. Vidal and R. Andrade, Context-driven Abnormal Semantic Event Recognition for HealthcareApplications, 2021 IEEE International Conference on Pervasive Computing and Communications Workshops andother Affiliated Events (PerCom Workshops), doi: 10.1109/PerComWorkshops51409.2021.9431117, pp. 434-435,2021.

Wei Li, Cheolwoo Jung and Jongtae Park, IoT Healthcare Communication System for IEEE 11073 PHD and IHEPCD-01 Integration Using CoAP, KSII Trans. on Internet and Information Systems, Vol. 12, No. 4, pp. 1396–1414,2018.

Wu T., J. Redout ́e and M. R. Yuce, A Wireless Implantable Sensor Design With Subcutaneous Energy Harvestingfor Long-Term IoT Healthcare Applications, in IEEE Access, vol. 6, doi: 10.1109/ACCESS.2018.2851940, pp.35801-35808, 2018.




DOI: https://doi.org/10.31449/inf.v46i2.3912

Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.