2690-6791ISSN (Online)
2769-786XISSN (Print)
Volume 9 , Issue 2 , PP: 36-50, 2023 | Cite this article as | XML | Html | PDF | Full Length Article
Sajjad Ali Ettyem 1 * , Ibrahem Ahmed 2 , Wasan Saad Ahmed 3 , Naseer Ali Hussien 4 , Maryam Ghassan Majeed 5 , Korhan Cengiz 6 , Narjes Benameur 7
Doi: https://doi.org/10.54216/JISIoT.090203
The science of achieving a healthy mind, body, and spirit through objectives and activities is known as personal health (PH). We must be aware of our mental, bodily, and social well-being. The term "hygiene" refers to a wide variety of healthy behaviours. Individuals' healthcare costs and quality of life increased by avoiding or reducing the long-term effects of the disease through knowledge and skills. Biomedical apparel includes sutures, vascular grafts, and biodegradable clothes (BC). Biomedical clothing is anything implanted or incorporated into the human body and used near tissue, blood, or cells. Quick, dependable, and energy-efficient connectivity between wireless sensor networks is necessary (WSNs). Physical layers, media access control, networking layers, and control requirements must be co-designed. For those with lesser means, health insurance will increase in cost. There are difficulties with privacy and cyber security, a higher chance of malpractice claims, and increased time and financial expenditures for doctors and patients. In this study, wireless sensor networks-based personal health biomedical clothing (PH-BC-WSN) was utilized to increase access to high-quality healthcare, increase food production through precision agriculture, and raise the standard of human resources. More effective healthcare and medical asset monitoring systems can be developed thanks to the Internet of Things. Eavesdropping on medical data, modification, fabrication of warnings, denial of service, user tracking and location, physical interference with equipment, and electromagnetic threats were extensively discussed. The article gives several instances of current technology, discusses design challenges including energy efficiency, security, and scalability, provides various demonstrations of current technology, and provides a complete analysis of all the advantages and disadvantages. Despite their many benefits, body sensor networks have several significant obstacles and unresolved research problems, which are described along with some potential answers. As a result, the experimental findings demonstrate that PH-BC-WSN enhances accuracy and reduces response time in inpatient health monitoring.
Personal health , Biomedical , Clothing , WSN , Cyber security , Internet of Things.
[1] Chan, M., Estève, D., Fourniols, J. Y., Escriba, C., & Campo, E. (2012). Smart wearable systems: Current status and future challenges. Artificial intelligence in medicine, 56(3), 137-156.
[2] Ali, M.H., Jaber, M.M., Abd, S.K., Rehman, A., Awan, M.J., Vitkutė-Adžgauskienė, D., Damaševičius, R., and Bahaj, S.A., 2022. Harris Hawks Sparse Auto-Encoder Networks for Automatic Speech Recognition System. Applied Sciences (Switzerland), 12(3).
[3] A.Lakhan,M.A.Mohammed,K.H.Abdulkareemetal., Secure blockchain assisted internet of medical things architecture for data fusion enabled cancer workflow, Internet of Things (2023),doi:https://doi.org/10.1016/j.iot.2023.100928.
[4] Darwish, A., & Hassanien, A. E. (2011). Wearable and implantable wireless sensor network solutions for healthcare monitoring. Sensors, 11(6), 5561-5595.
[5] Fraile, J. A., Bajo, J., Corchado, J. M., & Abraham, A. (2010). Applying wearable solutions to independent environments. IEEE Transactions on Information Technology in Biomedicine, 14(6), 1459-1467.
[6] Hussein, A.F., ALZubaidi, A.K., Habash, Q.A., and Jaber, M.M., 2019. An adaptive biomedical data managing scheme based on the blockchain technique. Applied Sciences (Switzerland), 9(12).
[7] Kumar, K., Kumar, A., Kumar, N., Mohammed, M.A., Al-Waisy, A.S., Jaber, M.M., Shah, R., and Al-Andoli, M.N., 2022. Dimensions of Internet of Things: Technological Taxonomy Architecture Applications and Open Challenges-A Systematic Review. Wireless Communications and Mobile Computing, 2022.
[8] Liang, T., & Yuan, Y. J. (2016). Wearable medical monitoring systems based on wireless networks: A review. IEEE Sensors Journal, 16(23), 8186-8199.
[9] Alemdar, H., & Ersoy, C. (2010). Wireless sensor networks for healthcare: A survey. Computer networks, 54(15), 2688-2710.
[10] Albahri, A. S., Alwan, J. K., Taha, Z. K., Ismail, S. F., Hamid, R. A., Zaidan, A. A., ... & Alsalem, M. A. (2021). IoT-based telemedicine for disease prevention and health promotion: State-of-the-Art. Journal of Network and Computer Applications, 173, 102873.
[11] Saleh, Y. N., Chibelushi, C. C., Abdel-Hamid, A. A., & Soliman, A. H. (2020). Privacy Preservation for Wireless Sensor Networks in Healthcare: State of the Art, and Open Research Challenges. arXiv preprint arXiv:2012.12958.
[12] Santoso, F., & Redmond, S. J. (2015). Indoor location-aware medical systems for smart homecare and telehealth monitoring: state-of-the-art. Physiological measurement, 36(10), R53.
[13] Li, K. F. (2013). Smart home technology for telemedicine and emergency management. Journal of Ambient Intelligence and Humanized Computing, 4(5), 535-546.
[14] Soh, P. J., Vandenbosch, G. A., Mercuri, M., & Schreurs, D. M. P. (2015). Wearable wireless health monitoring: Current developments, challenges, and future trends. IEEE Microwave Magazine, 16(4), 55-70.
[15] Wu, W., Pirbhulal, S., Sangaiah, A. K., Mukhopadhyay, S. C., & Li, G. (2018). Optimisation of signal quality over comfortability of textile electrodes for ECG monitoring in fog computing based medical applications. Future generation computer systems, 86, 515-526.
[16] Abbasi, Q. H., Yang, K., Chopra, N., Jornet, J. M., Abuali, N. A., Qaraqe, K. A., & Alomainy, A. (2016). Nano-communication for biomedical applications: A review on the state-of-the-art from physical layers to novel networking concepts. IEEE Access, 4, 3920-3935.
[17] Rishani, N., Elayan, H., Shubair, R., & Kiourti, A. (2018). Wearable, epidermal, and implantable sensors for medical applications. arXiv preprint arXiv:1810.00321.
[18] Gravina, R., & Fortino, G. (2020). Wearable Body Sensor Networks: State-of-the-art and research directions. IEEE Sensors Journal, 21(11), 12511-12522.
[19] Cerruela García, G., Luque Ruiz, I., & Gómez-Nieto, M. Á. (2016). State of the art, trends and future of Bluetooth low energy, near field communication and visible light communication in the development of smart cities. Sensors, 16(11), 1968.
[20] Vikas panthi, Amit Kumar Mishra, Enhancing Healthcare Monitoring through the Integration of IoT Networks and Machine Learning, International Journal of Wireless and Ad Hoc Communication, Vol. 7 , No. 1 , (2023) : 28-39 (Doi : https://doi.org/10.54216/IJWAC.070103).
[21] Acampora, G., Cook, D. J., Rashidi, P., & Vasilakos, A. V. (2013). A survey on ambient intelligence in healthcare. Proceedings of the IEEE, 101(12), 2470-2494.
[22] Darwish, A., Hassanien, A. E., Elhoseny, M., Sangaiah, A. K., & Muhammad, K. (2019). The impact of the hybrid platform of internet of things and cloud computing on healthcare systems: opportunities, challenges, and open problems. Journal of Ambient Intelligence and Humanized Computing, 10(10), 4151-4166.
[23] Ometov, A., Shubina, V., Klus, L., Skibińska, J., Saafi, S., Pascacio, P., ... & Lohan, E. S. (2021). A survey on wearable technology: History, state-of-the-art and current challenges. Computer Networks, 193, 108074.
[24] S. Phani Praveen,Balamuralikrishna Thati,Ch Anuradha,S. Sindhura,Mohammed Altaee,M. Abdul jalil, A Novel Approach for Enhance Fusion Based Healthcare System In Cloud Computing, Journal of Intelligent Systems and Internet of Things, Vol. 9 , No. 1 , (2023) : 84-96 (Doi : https://doi.org/10.54216/JISIoT.090106)
[25] Abedallah Zaid Abualkishik,Ali A. Alwan, Multi-objective Chaotic Butterfly Optimization with Deep Neural Network based Sustainable Healthcare Management Systems, American Journal of Business and Operations Research, Vol. 4 , No. 2 , (2021) : 39-48 (Doi : https://doi.org/10.54216/AJBOR.040203)
[26] Cavaliere, L. P. L., Mangalasserri, D. K., Venkateswaran, D. P., Byloppilly, D. R., Effendy, F., More, A. B., ... & Regin, R. (2021). The Impact Of Brand Counterfeiting on Consumer Behavior In the Fashion Sector. Turkish Journal of Physiotherapy and Rehabilitation, 32(3), 19831-19846.
[27] Mandeep Singh Heer, Harikrishna Chavhan, Vikas Chumber, Vikrant Sharma, A Study of Internet of Medical Things (IoMT) Used in Pandemic Covid-19 For Healthcare Monitoring Services, Journal of Cybersecurity and Information Management, Vol. 5 , No. 2 : Special No. CITCOVID-19 , (2021) : PP. 5-12 (Doi : https://doi.org/10.54216/JCIM.050201).
[28] Zhang, X., & Wang, Y. (2021). Research on intelligent medical big data system based on Hadoop and blockchain. EURASIP Journal on Wireless Communications and Networking, 2021(1), 1-21.
[29] Mahmoud A. Zaher,Nabil M. Eldakhly, Intelligent Data Fusion Model for Electrocardiogram Classification for Efficient Decision Making in the Healthcare Sector, Fusion: Practice and Applications, Vol. 9 , No. 1 , (2022) : 47-58 (Doi : https://doi.org/10.54216/FPA.090104).
[30] Mrs.K.Kiruthika, Ms.S.Gayathri, Ms.R.Hemalatha, Ms.P.Menaga, Design and Development of Mobile Healthcare Application for “Ayurvedic” based Clinical Documents, Journal of Cognitive Human-Computer Interaction, Vol. 1 , No. 1 , (2021) : 18-27 (Doi : https://doi.org/10.54216/JCHCI.010103)
