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Internet of Things with Maximal Overlap Discrete Wavelet Transform for Remote Health Monitoring of Abnormal ECG Signals

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Abstract

In this paper, MODWT is used to decompose the Electrocardiography (ECG) signals and to identify the changes of R waves in the noisy input ECG signal. The MODWT is used to handle the arbitrary changes in the input signal. The R wave’s detctected by the proposed framework is used by the doctors and careholders to take necessary action for the patients. MATLAB simulink model is used to develop the simulation model for the MODWT method. The performance of the MODWT based remote health monitoring system method is comparatively analyzed with other ECG monitoring approaches such as Haar Wavelet Transformation (HWT) and Discrete Wavelet Transform (DWT). Sensitivity, specificity, and Receiver Operating Characteristic (ROC) curve are calculated to evaluate the proposed Internet of Things with MODWT based ECG monitoring system. We have used MIT-BIH Arrythmia Database to perform the experiments.

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References

  1. Atzori, L., Iera, A., and Morabito, G., The internet of things: A survey. Comput. Netw. 54(15):2787–2805, 2010.

    Article  Google Scholar 

  2. Sarma, A. C., and Girão, J., Identities in the future internet of things. Wirel. Pers. Commun. 49(3):353–363, 2009.

    Article  Google Scholar 

  3. Gubbi, J., Buyya, R., Marusic, S., and Palaniswami, M., Internet of things (IoT): A vision, architectural elements, and future directions. Futur. Gener. Comput. Syst. 29(7):1645–1660, 2013.

    Article  Google Scholar 

  4. Walport, M., The internet of things: Making the most of the second digital revolution. A report by the UK Government Chief Scientific Adviser, 2014.

  5. Ning, H., and Wang, Z., Future internet of things architecture: Like mankind neural system or social organization framework? IEEE Commun. Lett. 15(4):461–463, 2011.

    Article  Google Scholar 

  6. Baoyun, W., Review on internet of things. Journal of Electronic Measurement and Instrument 23(12):1–7, 2009.

    Google Scholar 

  7. Da Xu, L., He, W., and Li, S., Internet of things in industries: A survey. IEEE Transactions on Industrial Informatics 10(4):2233–2243, 2014.

    Article  Google Scholar 

  8. Silva, J. S., Zhang, P., Pering, T., Boavida, F., Hara, T., and Liebau, N. C., People-centric internet of things. IEEE Commun. Mag. 55(2):18–19, 2017.

    Article  Google Scholar 

  9. Bäumer, U., von Oelffen, S., and Keil, M., Internet of things: Legal implications for every business. InThe Palgrave Handbook of Managing Continuous Business Transformation (pp. 435-458). Palgrave Macmillan UK, 2017.

  10. Abawajy, J. H., and Hassan, M. M., Federated internet of things and cloud computing pervasive patient health monitoring system. IEEE Commun. Mag. 55(1):48–53, 2017.

    Article  Google Scholar 

  11. Mieronkoski, R., Azimi, I., Rahmani, A.M., Aantaa, R., Terävä, V., Liljeberg, P., Salanterä, S., The Internet of Things for Basic Nursing Care-A Scoping Review. International Journal of Nursing Studies, 2017.

  12. Lorincz, K., Malan, D. J., Fulford-Jones, T. R., Nawoj, A., Clavel, A., Shnayder, V. et al., Sensor networks for emergency response: Challenges and opportunities. Pervasive Computing. IEEE 3(4):16–23, 2004.

    Google Scholar 

  13. Malan, D., Fulford-Jones, T., Welsh, M., and Moulton, S., Codeblue: An ad hoc sensor network infrastructure for emergency medical care. In International workshop on wearable and implantable body sensor networks (Vol. 5), 2004.

  14. Stojkoska, B. L., and Trivodaliev, K. V., A review of internet of things for smart home: Challenges and solutions. J. Clean. Prod. 140:1454–1464, 2017.

    Article  Google Scholar 

  15. Mulani, T.T., and Pingle, S.V., Internet of things. International Research Journal of Multidisciplinary Studies. 2(3), 2016.

  16. Ho, G., Leung, D., Mishra, P., Hosseini, A., Song, D., and Wagner, D., Smart locks: Lessons for securing commodity internet of things devices. In Proceedings of the 11th ACM on Asia Conference on Computer and Communications Security (pp. 461-472). ACM, 2016.

  17. Lin, A.T., Lee, J., Lee, D., and Chen, C.C., The development of IC packaging under the internet of things standards. InMicrosystems, packaging, assembly and circuits technology conference (IMPACT), 2016 11th international (pp. 209-211). IEEE, 2016.

  18. Kumar, P., and Lee, H. J., Security issues in healthcare applications using wireless medical sensor networks: A survey. Sensors 12(1):55–91, 2011.

    Article  Google Scholar 

  19. Ng, J. W., Lo, B. P., Wells, O., Sloman, M., Peters, N., Darzi, A., … and Yang, G. Z., Ubiquitous monitoring environment for wearable and implantable sensors (UbiMon). In International Conference on Ubiquitous Computing (Ubicomp), 2004.

  20. Chakravorty, R., A programmable service architecture for mobile medical care. In Pervasive Computing and Communications Workshops, 2006. PerCom Workshops 2006. Fourth Annual IEEE International Conference on (pp. 5-pp). IEEE, 2006.

  21. Blum, J. M., and Magill, E.H., The design and evaluation of personalised ambient mental health monitors. InConsumer communications and networking conference (CCNC), 2010 7th IEEE (pp. 1-5). IEEE, 2010.

  22. Wang, K., Qi, X., Shu, L., Deng, D. J., and Rodrigues, J. J., Toward trustworthy crowdsourcing in the social internet of things. IEEE Wirel. Commun. 23(5):30–36, 2016.

    Article  Google Scholar 

  23. Ye, Q., and Zhuang, W., Distributed and adaptive medium access control for internet-of-things-enabled Mobile networks. IEEE Internet of Things Journal, 2016.

  24. D’Angelo, G., Ferretti, S., and Ghini, V., Multi-level simulation of internet of things on smart territories. Simulation Modelling Practice and Theory, 2016.

  25. Cheng, J., Cheng, J., Zhou, M., Liu, F., Gao, S., and Liu, C., Routing in internet of vehicles: A review. IEEE Trans. Intell. Transp. Syst. 16(5):2339–2352, 2015.

    Article  Google Scholar 

  26. Dimitrakopoulos, G., Intelligent transportation systems based on internet-connected vehicles: Fundamental research areas and challenges. In ITS Telecommunications (ITST), 2011 11th International Conference on (pp. 145-151). IEEE, 2011.

  27. Leng, Y., and Zhao, L., Novel design of intelligent internet-of-vehicles management system based on cloud-computing and internet-of-things. In Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on (Vol. 6, pp. 3190-3193). IEEE, 2011.

  28. Gerla, M., Lee, E. K., Pau, G., and Lee, U., Internet of vehicles: From intelligent grid to autonomous cars and vehicular clouds. In Internet of Things (WF-IoT), 2014 IEEE World Forum on (pp. 241-246). IEEE, 2014.

  29. Varatharajan, R., Vasanth, K., Gunasekaran, M., Priyan, M., and Gao, X. Z., An adaptive decision based kriging interpolation algorithm for the removal of high density salt and pepper noise in images. Computers and Electrical Engineering, 2017.

  30. Manogaran, G., Lopez, D., Thota, C., Abbas, K. M., Pyne, S., and Sundarasekar, R., Big data analytics in healthcare internet of things. In innovative healthcare systems for the 21st century (pp. 263-284). Springer International Publishing, 2017.

  31. Lopez, D., and Manogaran, G., Modelling the H1N1 influenza using mathematical and neural network approaches. Biomedical Research, 2017.

  32. Manogaran, G., and Lopez, D., A Gaussian process based big data processing framework in cluster computing environment. Cluster Computing, 1–16, 2017.

  33. Manogaran, G., Thota, C., and Lopez, D., Human-Computer Interaction With Big Data Analytics. In HCI Challenges and Privacy Preservation in Big Data Security (pp. 1–22). IGI Global, 2018.

  34. Manogaran, G., and Lopez, D., Spatial cumulative sum algorithm with big data analytics for climate change detection. Computers & Electrical Engineering, 2017.

  35. Manogaran, G., Thota, C., Lopez, D., and Sundarasekar, R., Big data security intelligence for healthcare industry 4.0. In Cybersecurity for Industry 4.0 (pp. 103-126). Springer International Publishing, 2017.

  36. Wan, J., Liu, J., Shao, Z., Vasilakos, A. V., Imran, M., and Zhou, K., Mobile crowd sensing for traffic prediction in internet of vehicles. Sensors 16(1):88, 2016.

    Article  Google Scholar 

  37. Prinsloo, J., and Malekian, R., Accurate vehicle location system using RFID, an internet of things approach. Sensors 16(6):825, 2016.

    Article  Google Scholar 

  38. Lopez, D., Gunasekaran, M., Murugan, B. S., Kaur, H., and Abbas, K. M., Spatial big data analytics of influenza epidemic in Vellore, India. In big data (big data), 2014 IEEE international conference on (pp. 19-24). IEEE, 2014.

  39. Lopez, D., and Gunasekaran, M., Assessment of vaccination strategies using fuzzy multi-criteria decision making. In proceedings of the fifth international conference on fuzzy and neuro computing (FANCCO-2015) (pp. 195-208). Springer, 2015.

  40. Lopez, D., and Sekaran, G., Climate change and disease dynamics-a big data perspective. Int. J. Infect. Dis. 45:23–24, 2016.

    Article  Google Scholar 

  41. Lopez, D., and Manogaran, G., Big Data Architecture for Climate Change and Disease Dynamics, Eds. Geetam S. Tomar et al. The Human Element of Big Data: Issues, Analytics, and Performance, CRC Press, 2016.

  42. Manogaran, G., Thota, C., and Kumar, M. V., MetaCloudDataStorage architecture for big data security in cloud computing. Procedia Computer Science 87:128–133, 2016.

    Article  Google Scholar 

  43. Manogaran, G., and Lopez, D., Health data analytics using scalable logistic regression with stochastic gradient descent. International Journal of Advanced Intelligence Paradigms 9:1–15, 2016.

    Google Scholar 

  44. Manogaran, G., and Lopez, D., Disease surveillance system for big climate data processing and dengue transmission. International Journal of Ambient Computing and Intelligence 8(2):88–105, 2017.

    Article  Google Scholar 

  45. Thota, C., Manogaran, G., Lopez, D., and Vijayakumar, V., Big Data Security Framework for Distributed Cloud Data Centers. In Cybersecurity Breaches and Issues Surrounding Online Threat Protection (pp. 288–310). IGI Global, 2017.

  46. Manogaran, G., Thota, C., Lopez, D., Vijayakumar, V., Abbas, K. M., and Sundarsekar, R., Big Data Knowledge System in Healthcare. In Internet of Things and Big Data Technologies for Next Generation Healthcare (pp. 133–157). Springer International Publishing, 2017.

  47. Varatharajan, R., Manogaran, G., Priyan, M. K., and Sundarasekar, R., Wearable sensor devices for early detection of Alzheimer disease using dynamic time warping algorithm. Cluster Computing, 1–10, 2017.

  48. Li, X., Wu, F., Khan, M. K., Xu, L., Shen, J., and Jo, M., A secure chaotic map-based remote authentication scheme for telecare medicine information systems. Future Generation Computer Systems, 2017.

  49. Li, X., Niu, J., Kumari, S., Wu, F., Sangaiah, A. K., and Choo, K. K. R., A three-factor anonymous authentication scheme for wireless sensor networks in internet of things environments. Journal of Network and Computer Applications, 2017.

  50. Varatharajan, R., Manogaran, G., Priyan, M. K., Balaş, V. E., and Barna, C., Visual analysis of geospatial habitat suitability model based on inverse distance weighting with paired comparison analysis. Multimedia Tools and Applications, 1–21, 2017.

  51. Thota, C., Sundarasekar, R., Manogaran, G., Varatharajan, R., and Priyan, M. K., Centralized Fog Computing Security Platform for IoT and Cloud in Healthcare System. In Exploring the Convergence of Big Data and the Internet of Things (pp. 141–154). IGI Global, 2018.

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Correspondence to Priyan Malarvizhi Kumar.

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This article is part of the Topical Collection on Mobile & Wireless Health

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Sundarasekar, R., Thanjaivadivel, M., Manogaran, G. et al. Internet of Things with Maximal Overlap Discrete Wavelet Transform for Remote Health Monitoring of Abnormal ECG Signals. J Med Syst 42, 228 (2018). https://doi.org/10.1007/s10916-018-1093-4

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  • DOI: https://doi.org/10.1007/s10916-018-1093-4

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