Future Network and Technology - IoT Healthcare Solutions and Applications

G. Ramachandran*, P. M. Murali **, S. Kannan ***
*-*** Department of Electronics and Communication Engineering, Vinayaka Mission's KirupanandaVariyar Engineering College, Salem,
Periodicity:June - August'2021
DOI : https://doi.org/10.26634/jele.11.4.15420

Abstract

The Internet of Things (IoT) is an exciting area of automation research that can have a significant impact on people's quality of life. IoT is an interconnection of computers, devices, people and environment through Internet connectivity. Lack of access to medical services, the growing geriatric population with chronic ailments and their need for remote monitoring, rising medical expenditures, and a need for telemedicine in underdeveloped nations all make the IoT an intriguing topic in healthcare. The idea of leveraging IoT-based sensor networks for healthcare applications has the potential to reduce human inefficiencies and errors. Due to the large amount of data that needs to be intelligently managed, a machine learning approach is critical to the efficient implementation of IoT-based wireless sensor networks (WSN). This article reviews the development and progress of healthcare and related applications with the implementation of AI-based IoT and WSN.

Keywords

Automation, Internet of Things (IoT), Healthcare, Network.

How to Cite this Article?

Ramachandran, G., Murali, P. M., and Kannan, S. (2021). Future Network and Technology - IoT Healthcare Solutions and Applications. i-manager's Journal on Electronics Engineering, 11(4), 35-44. https://doi.org/10.26634/jele.11.4.15420

References

[1]. Alizadeh, T. (2017). An investigation of IBM's smarter cites challenge: what do participating cities want? Cities, 63, 70-80. https://doi.org/10.1016/j.cities.2016.12.009
[2]. Dias, S. B., Grammatikopoulou, A., Diniz, J. A., Dimitropoulos, K., Grammalidis, N., Zilidou, V., ... & Hadjileontiadis, L. J. (2020). Innovative Parkinson's Disease Patients' Motor Skills Assessment: The i-PROGNOSIS Paradigm. Frontiers in Computer Science, 2, 20. https://doi. org/10.3389/fcomp.2020.00020
[3]. Dimitrov, D. V. (2016). Medical internet of things and big data in healthcare. Healthcare Informatics Research, 22(3), 156-163. https://doi.org/10.4258/hir.2016.22.3.156
[4]. Dix, E. (2019, November 18). Welcome to Generis. Generis. Retrieved from https://generisapp.com/blog/ 2019/11/18/welcome-to-generis
[5]. EyecareLive. (n.d.). Meet an Eye Doctor online. EyecareLive. Retrieved from https://www.eyecarelive. com/
[6]. Fajardo, A. (2021). 8 Best Healthcare Apps for Patients/Top Mobile Apps in 2021. Rootstrap. Retrieved from https://www.rootstrap.com/blog/healthcare-apps/
[7]. Fung, E., Järvelin, M. R., Doshi, R. N., Shinbane, J. S., Carlson, S. K., Grazette, L. P., ... & Peters, N. S. (2015). Electrocardiographic patch devices and contemporary wireless cardiac monitoring. Frontiers in Physiology, 6, 149. https://doi.org/10.3389/fphys.2015.00149
[8]. Gatouillat, A., Badr, Y., Massot, B., & Sejdić, E. (2018). Internet of medical things: A review of recent contributions dealing with cyber-physical systems in medicine. IEEE Internet of Things Journal, 5(5), 3810-3822. https://doi.org/ 10.1109/JIOT.2018.2849014
[9]. Habibzadeh, H., Dinesh, K., Shishvan, O. R., Boggio- Dandry, A., Sharma, G., & Soyata, T. (2019). A survey of healthcare Internet of Things (HIoT): A clinical perspective. IEEE Internet of Things Journal, 7(1), 53-71. https://doi.org/ 10.1109/JIOT.2019.2946359
[10]. Karimi, Y., Haghi Kashani, M., Akbari, M., & Mahdipour, E. (2021). Leveraging big data in smart cities: A systematic review. Concurrency and Computation: Practice and Experience, 33(21), e6379. https://doi.org/ 10.1002/cpe. 6379
[11]. Koonin, L. M., Hoots, B., Tsang, C. A., Leroy, Z., Farris, K., Jolly, B., ... & Harris, A. M. (2020). Trends in the use of telehealth during the emergence of the COVID-19 pandemic—United States, Januar y–March 2020. Morbidity and Mortality Weekly Report, 69(43), 1595. https://doi.org/10.15585/mmwr.mm6943a3
[12]. Koppar, A. R., & Sridhar, V. (2009, February). A workflow solution for electronic health records to improve healthcare delivery efficiency in rural India. In 2009, International Conference on eHealth, Telemedicine, and Social Medicine (pp. 227-232). IEEE. https://doi.org/10.1109/ eTELEMED.2009.30
[13]. Lee, M., Han, M., & Pak, J. (2018). Analysis of behavioral characteristics of smartphone addiction using data mining. Applied Sciences, 8(7), 1191. https://doi.org/ 10.3390/app8071191
[14]. Lloret, J., Parra, L., Taha, M., & Tomás, J. (2017). An architecture and protocol for smart continuous eHealth monitoring using 5G. Computer Networks, 129, 340-351. https://doi.org/10.1016/j.comnet.2017.05.018
[15]. Lu, D., & Liu, T. (2011, December). The application of IOT in medical system. In 2011, IEEE International Symposium on IT in Medicine and Education (Vol. 1, pp. 272-275). IEEE. https://doi.org/10.1109/ITiME.2011.6130831
[16]. Mathur, N., Paul, G., Irvine, J., Abuhelala, M., Buis, A., & Glesk, I. (2016). A practical design and implementation of a low cost platform for remote monitoring of lower limb health of amputees in the developing world. IEEE Access, 4, 7440-7451. https://doi.org/10.1109/ACCESS.2016.2622163
[17]. Polakowski, M. (2021). How Is IoT Used in Healthcare? Netguru. Retrieved from https://www.netguru.com/blog/iotin- healthcare
[18]. Triberti, S., & Barello, S. (2016). The quest for engaging AmI: Patient engagement and experience design tools to promote effective assisted living. Journal of Biomedical Informatics, 63, 150-156. https://doi.org/10.1016/j.jbi. 2016.08.010
[19]. Uscher-Pines, L., Mulcahy, A., Cowling, D., Hunter, G., Burns, R., & Mehrotra, A. (2016). Access and quality of care in direct-to-consumer telemedicine. Telemedicine and e- Health, 22(4), 282-287.
[20]. Villeneuve, E., Harwin, W., Holderbaum, W., Janko, B., & Sherratt, R. S. (2017). Reconstruction of angular kinematics from wrist-worn inertial sensor data for smart home healthcare. IEEE Access, 5, 2351-2363. https://doi. org/10.1109/ACCESS.2016.2640559
[21]. Yang, P., & Xu, L. (2018). The Internet of Things (IoT): informatics methods for IoT-enabled health care. Journal of Biomedical Informatics, 87, 154-156. https://doi.org/10. 1016/j.jbi.2018.10.006
If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
USD EUR INR USD-ROW
Pdf 35 35 200 20
Online 35 35 200 15
Pdf & Online 35 35 400 25

Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.