(Pillai College of Engineering, India)(2) Aditya Uttam Desai
(Pillai College of Engineering, India)(3) Nishad Nitin Keni
(Pillai College of Engineering, India)(4) Aditya Suresh Nambiar
(Pillai College of Engineering, India)(5) * Mimi Mariam Cherian
(Pillai College of Engineering, India)*corresponding author
AbstractThe convergence of IoT and AI technology has the capacity to revolutionize healthcare by facilitating the gathering of real-time data and employing sophisticated analytics for tailored medical solutions. This survey provides an in-depth examination of IoT-AI applications in healthcare, specifically focusing on wearable devices such as smart bands and wristbands, as well as health monitoring systems. We present the core principles of IoT and AI, examining their synergistic integration in healthcare environments. The taxonomy of IoT-AI-based healthcare systems is comprehensive and classifies them according to their architectural components, data processing algorithms, and application domains. The survey showcases distinctive achievements, including novel methodologies for combining data and making predictions, frameworks for improving patient monitoring, and inventive methods for delivering healthcare remotely. We offer a comprehensive examination of key challenges such as data privacy, interoperability, and regulatory compliance, and analyze their specific effects on the implementation and efficacy of IoT-AI healthcare systems. The comparison analysis encompasses measures such as system performance, accuracy, and user satisfaction, providing valuable insights into the strengths and limitations of different techniques. In addition, we analyze developing patterns and clearly outline future areas of study, such as the enhancement of stronger security protocols, the use of blockchain technology to ensure data integrity, and the progress in AI algorithms to achieve more precise diagnoses. Emerging trends such as Digital Twins and SLUC are identified as promising avenues for future research. In conclusion, this study provides a detailed framework that enhances the understanding of IoT-AI healthcare systems and offers practical insights for improving healthcare practices and guiding technology adoption. KeywordsAI; ML; IoT; Taxonomy; Health Data Analytics; Wearable Sensors
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DOIhttps://doi.org/10.31763/ijrcs.v4i3.1526 |
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References
[1] S. S. Mahal, C. Kucha, E. M. Kwofie, M. Ngadi, “Design and development of ‘Diet DQ Tracker’: A smartphone application for augmenting dietary assessment,†Nutrients, vol. 15, no. 13, p. 2901, 2023, https://doi.org/10.3390/nu15132901.
[2] R. Alturki, A. I. Alharbi, S. S. AlQahtani, S. Khan, V. Truong Hoang, “A proposed application for controlling overweight and obesity within the framework of the internet of things,†Mobile Information Systems, vol. 2021, no. 1, pp. 1-9, 2021, https://doi.org/10.1155/2021/7109099.
[3] H. J. Tricás-Vidal, M. O. Lucha-López, C. Hidalgo-GarcÃa, M. C. Vidal-Peracho, S. Monti-Ballano, J. M. Tricás-Moreno, “Health habits and wearable activity tracker devices: an analytical cross-sectional study,†Sensors, vol. 22, no. 8, p. 2960, 2022, https://doi.org/10.3390/s22082960.
[4] S. K. Jagatheesaperumal et al., “An IoT-based framework for personalized health assessment and recommendations using machine learning,†Mathematics, vol. 11, no. 12, p. 2758, 2023, https://doi.org/10.3390/math11122758.
[5] J. Passos et al., “Wearables and Internet of Things (IoT) technologies for fitness assessment: a systematic review,†Sensors, vol. 21, no. 16, p. 5418, 2021, https://doi.org/10.3390/s21165418.
[6] N. Gomes, M. Pato, A. R. Lourenco, N. Datia, “A survey on wearable sensors for mental health monitoring,†Sensors, vol. 23, no. 3, p. 1330, 2023, https://doi.org/10.3390/s23031330.
[7] M. Kang, K. Chai, “Wearable sensing systems for monitoring mental health,†Sensors, vol. 22, no. 3, p. 994, 2022, https://doi.org/10.3390/s22030994.
[8] N. Long, Y. Lei, L. Peng, P. Xu, P. Mao, “A scoping review on monitoring mental health using smart wearable devices,†Mathematical Biosciences and Engineering, vol. 19, no. 8, pp. 7899-7919, 2022, https://doi.org/10.3934/mbe.2022369.
[9] R. Alhejaili, A. Alomainy, “The use of wearable technology in providing assistive solutions for mental well-being,†Sensors, vol. 23, no. 17, p. 7378, 2023, https://doi.org/10.3390/s23177378.
[10] A. Ometov, O. Chukhno, N. Chukhno, J. Nurmi, E. S. Lohan, “When wearable technology meets computing in future networks: A road ahead,†Proceedings of the 18th ACM International Conference on Computing Frontiers, pp. 185-190, 2021, https://doi.org/10.1145/3457388.3458614.
[11] T. M. Ghazal et al., “IoT for smart cities: Machine learning approaches in smart healthcare-A review,†Future Internet, vol. 13, no. 8, p. 218, 2021, https://doi.org/10.3390/fi13080218.
[12] H. K. Bharadwaj et al., "A Review on the Role of Machine Learning in Enabling IoT Based Healthcare Applications," IEEE Access, vol. 9, pp. 38859-38890, 2021, https://doi.org/10.1109/ACCESS.2021.3059858.
[13] P. P. Ray, D. Dash, N. Kumar, “Sensors for internet of medical things: State-of-the-art, security and privacy issues, challenges and future directions,†Computer Communications, vol. 160, pp. 111-131, 2020, https://doi.org/10.1016/j.comcom.2020.05.029.
[14] H. Habibzadeh, K. Dinesh, O. Rajabi Shishvan, A. Boggio-Dandry, G. Sharma and T. Soyata, "A Survey of Healthcare Internet of Things (HIoT): A Clinical Perspective," IEEE Internet of Things Journal, vol. 7, no. 1, pp. 53-71, 2020, https://doi.org/10.1109/JIOT.2019.2946359.
[15] X. Wu, C. Liu, L. Wang, M. Bilal, “Internet of things-enabled real-time health monitoring system using deep learning,†Neural Computing and Applications, vol. 35, pp. 14565-14576, 2021, https://doi.org/10.1007/s00521-021-06440-6.
[16] N. S. Sworna, A. M. Islam, S. Shatabda, S. Islam, “Towards the development of IoT-ML driven healthcare systems: A survey,†Journal of Network and Computer Applications, vol. 196, p. 103244, 2021, https://doi.org/10.1016/j.jnca.2021.103244.
[17] F. John Dian, R. Vahidnia and A. Rahmati, "Wearables and the Internet of Things (IoT), Applications, Opportunities, and Challenges: A Survey," IEEE Access, vol. 8, pp. 69200-69211, 2020, https://doi.org/10.1109/ACCESS.2020.2986329.
[18] A. Wazwaz, K. Amin, N. Semary, T. Ghanem, “Dynamic and Distributed Intelligence over Smart Devices, Internet of Things Edges, and Cloud Computing for Human Activity Recognition Using Wearable Sensors,†Journal of Sensor and Actuator Networks, vol. 13, no. 1, p. 5, 2024, https://doi.org/10.3390/jsan13010005.
[19] M. Otoom, N. Otoum, M. A. Alzubaidi, Y. Etoom, R. Banihani, “An IoT-based framework for early identification and monitoring of COVID-19 cases,†Biomedical signal processing and control, vol. 62, p. 102149, 2020, https://doi.org/10.1016/j.bspc.2020.102149.
[20] M. A. Makroum, M. Adda, A. Bouzouane, H. Ibrahim, “Machine learning and smart devices for diabetes management: Systematic review,†Sensors, vol. 22, no. 5, p. 1843, 2022, https://doi.org/10.3390/s22051843.
[21] S. S. Chopade, H. P. Gupta, T. Dutta, “Survey on sensors and smart devices for IoT enabled intelligent healthcare system,†Wireless Personal Communications, vol. 131, pp. 1957-1995, 2023, https://doi.org/10.1007/s11277-023-10528-8.
[22] F. Alâ€Turjman, I. Baali, “Machine learning for wearable IoTâ€based applications: A survey,†Transactions on Emerging Telecommunications Technologies, vol. 33, no. 8, p. e3635, 2022, https://doi.org/10.1002/ett.3635.
[23] A. Qayyum, J. Qadir, M. Bilal and A. Al-Fuqaha, "Secure and Robust Machine Learning for Healthcare: A Survey," IEEE Reviews in Biomedical Engineering, vol. 14, pp. 156-180, 2021, https://doi.org/10.1109/RBME.2020.3013489.
[24] P. Kulurkar, C. K. Dixit, V. C. Bharathi, A. Monikavishnuvarthini, A. Dhakne, P. Preethi, “AI based elderly fall prediction system using wearable sensors: A smart home-care technology with IOT,†Measurement: Sensors, vol. 25, p. 100614, 2023, https://doi.org/10.1016/j.measen.2022.100614.
[25] A. Thamara, M. Elsersy, A. Sherif, H. Hassan, O. Abdelsalam and K. H. Almotairi, "A Novel Classification of Machine Learning Applications in Healthcare," 2021 3rd IEEE Middle East and North Africa COMMunications Conference (MENACOMM), pp. 80-85, 2021, https://doi.org/10.1109/MENACOMM50742.2021.9678232.
[26] B. F. Tavares et al., “Mobile applications for training plan using android devices: A systematic review and a taxonomy proposal,†Information, vol. 11, no. 7, p. 343, 2020, https://doi.org/10.3390/info11070343.
[27] S. Chen, Y. Wu, E. L. Bushey, L. S. Pescatello, “Evaluation of Exercise Mobile Applications for Adults with Cardiovascular Disease Risk Factors,†Journal of Cardiovascular Development and Disease, vol. 10, no. 12, p. 477, 2023, https://doi.org/10.3390/jcdd10120477.
[28] R. Ramezani, M. Cao, A. Earthperson, A. Naeim, “Developing a Smartwatch-Based Healthcare Application: Notes to Consider,†Sensors, vol. 23, no. 15, p. 6652, 2023, https://doi.org/10.3390/s23156652.
[29] Q. Zhang, Y. Zhang, C. Li, C. Yan, Y. Duan and H. Wang, "Sport Location-Based User Clustering With Privacy-Preservation in Wireless IoT-Driven Healthcare," IEEE Access, vol. 9, pp. 12906-12913, 2021, https://doi.org/10.1109/ACCESS.2021.3051051.
[30] B. R. Barricelli, E. Casiraghi, J. Gliozzo, A. Petrini and S. Valtolina, "Human Digital Twin for Fitness Management," IEEE Access, vol. 8, pp. 26637-26664, 2020, https://doi.org/10.1109/ACCESS.2020.2971576.
[31] R. Pulimamidi, “To enhance customer (or patient) experience based on IoT analytical study through technology (IT) transformation for E-healthcare,†Measurement: Sensors, vol. 33, p. 101087, 2024, https://doi.org/10.1016/j.measen.2024.101087.
[32] Z. Deng, L. Guo, X. Chen, W. Wu, “Smart wearable systems for health monitoring,†Sensors, vol. 23, no. 5, p. 2479, 2023, https://doi.org/10.3390/s23052479.
[33] M. B. Kulkarni, S. Rajagopal, B. Prieto-Simón, B. W. Pogue, “Recent advances in smart wearable sensors for continuous human health monitoring,†Talanta, vol. 272, p. 125817, 2024, https://doi.org/10.1016/j.talanta.2024.125817.
[34] S. Saleem, U. Chauhan and S. P. Singh, "An In-Depth study on Smart wearable Technology and their applications in monitoring human health," 2023 International Conference on Disruptive Technologies (ICDT), pp. 523-526, 2023, https://doi.org/10.1109/ICDT57929.2023.10150865.
[35] W. Wang, W. Hsu, “Integrating artificial intelligence and wearable IoT system in long-term care environments,†Sensors, vol. 23, no. 13, p. 5913, 2023, https://doi.org/10.3390/s23135913.
[36] R. S. Bisht, S. Jain and N. Tewari, "Study of Wearable IoT devices in 2021: Analysis & Future Prospects," 2021 2nd International Conference on Intelligent Engineering and Management (ICIEM), pp. 577-581, 2021, https://doi.org/10.1109/ICIEM51511.2021.9445334.
[37] N. Xiao, W. Yu, X. Han, “Wearable heart rate monitoring intelligent sports bracelet based on Internet of things,†Measurement, vol. 164, p. 108102, 2020, https://doi.org/10.1016/j.measurement.2020.108102.
[38] Y. Zou, D. Wang, S. Hong, R. Ruby, D. Zhang and K. Wu, "A Low-Cost Smart Glove System for Real-Time Fitness Coaching," IEEE Internet of Things Journal, vol. 7, no. 8, pp. 7377-7391, 2020, https://doi.org/10.1109/JIOT.2020.2983124.
[39] R. Jegan, W. S. Nimi, “On the development of low power wearable devices for assessment of physiological vital parameters: a systematic review,†Journal of Public Health, vol. 32, pp. 1093-1108, 2023, https://doi.org/10.1007/s10389-023-01893-6.
[40] N. Surantha, P. Atmaja, M. Wicaksono, “A review of wearable internet-of-things device for healthcare,†Procedia Computer Science, vol. 179, p. 936-943, 2021, https://doi.org/10.1016/j.procs.2021.01.083.
[41] A. Parihar, J. B. Prajapati, B. G. Prajapati, B. Trambadiya, A. Thakkar, P. Engineer, “Role of IOT in healthcare: Applications, security & privacy concerns,†Intelligent Pharmacy, 2024, https://doi.org/10.1016/j.ipha.2024.01.003.
[42] M. M. Islam et al., “Enabling pandemicâ€resilient healthcare: Narrowband Internet of Things and edge intelligence for realâ€time monitoring,†CAAI Transactions on Intelligence Technology, pp. 1-18, 2023, https://doi.org/10.1049/cit2.12314.
[43] M. M. Islam, A. Rahaman, M. R. Islam, “Development of smart healthcare monitoring system in IoT environment,†SN computer science, vol. 1, no. 185, 2020, https://doi.org/10.1007/s42979-020-00195-y.
[44] S. Thapa, A. Bello, A. Maurushat, F. Farid, “Security risks and user perception towards adopting wearable internet of medical things,†International Journal of Environmental Research and Public Health, vol. 20, no. 8, p. 5519, 2023, https://doi.org/10.3390/ijerph20085519.
[45] S. S. Gopalan, A. Raza and W. Almobaideen, "IoT Security in Healthcare using AI: A Survey," 2020 International Conference on Communications, Signal Processing, and their Applications (ICCSPA), Sharjah, United Arab Emirates, pp. 1-6, 2021, https://doi.org/10.1109/ICCSPA49915.2021.9385711.
[46] M. A. Jan, F. Khan, S. Mastorakis, M. Adil, A. Akbar and N. Stergiou, "LightIoT: Lightweight and Secure Communication for Energy-Efficient IoT in Health Informatics," IEEE Transactions on Green Communications and Networking, vol. 5, no. 3, pp. 1202-1211, 2021, https://doi.org/10.1109/TGCN.2021.3077318.
[47] M. A. Jan et al., "Lightweight Mutual Authentication and Privacy-Preservation Scheme for Intelligent Wearable Devices in Industrial-CPS," IEEE Transactions on Industrial Informatics, vol. 17, no. 8, pp. 5829-5839, 2021, https://doi.org/10.1109/TII.2020.3043802.
[48] M. Kumar et al., “Healthcare Internet of Things (H-IoT): Current trends, future prospects, applications, challenges, and security issues,†Electronics, vol. 12, no. 9, p. 2050, 2023, https://doi.org/10.3390/electronics12092050.
[49] K. H. Almotairi, “Application of internet of things in healthcare domain,†Journal of Umm Al-Qura University for Engineering and Architecture, vol. 14, pp. 1-12, 2023, https://doi.org/10.1007/s43995-022-00008-8.
[50] M. Cherian, M. Chatterjee, “Survey of security threats in iot and emerging countermeasures,†Security in Computing and Communications, pp. 591-604, 2019, https://doi.org/10.1007/978-981-13-5826-5_46.
[51] S. H. Javed, M. B. Ahmad, M. Asif, S. H. Almotiri, K. Masood, M. A. A. Ghamdi, “An intelligent system to detect advanced persistent threats in industrial internet of things (I-IoT),†Electronics, vol. 11, no. 5, p. 742, 2022, https://doi.org/10.3390/electronics11050742.
[52] A. Nair, V. Patil, R. Nair, A. Shetty, M. Cherian, “A review on recent driver safety systems and its emerging solutions,†International Journal of Computers and Applications, vol. 46, no. 3, pp. 137-151, 2024, https://doi.org/10.1080/1206212X.2023.2293348.
[53] M. A. Akkaş, R. Sokullu, H. E. Çetin, “Healthcare and patient monitoring using IoT,†Internet of Things, vol. 11, p. 100173, 2020, https://doi.org/10.1016/j.iot.2020.100173.
[54] K. P. Satamraju, “Proof of concept of scalable integration of internet of things and blockchain in healthcare,†Sensors, vol. 20, no. 5, p. 1389, 2020, https://doi.org/10.3390/s20051389.
[55] M. Cherian, S. Verma, “Integration of IoT and SDN to mitigate DDoS with RYU Controller,†Computer Networks, Big Data and IoT, vol. 6, pp. 673-684, 2021, https://doi.org/10.1007/978-981-16-0965-7_52.
[56] M. Cherian, S. L. Varma, “Secure SDN–IoT framework for DDoS attack detection using deep learning and counter based approach,†Journal of Network and Systems Management, vol. 31, no. 54, 2023, https://doi.org/10.1007/s10922-023-09749-w.
[57] M. M. Cherian, S. L. Varma, “Mitigation of DDOS and MiTM attacks using belief based secure correlation approach in SDN-based IoT networks,†International Journal of Computer Network and Information Security, vol. 14, no. 1, pp. 52-68, 2022, https://doi.org/10.5815/ijcnis.2022.01.05.
[58] P. Ratta, A. Kaur, S. Sharma, M. Shabaz, G. Dhiman, “Application of blockchain and internet of things in healthcare and medical sector: applications, challenges, and future perspectives,†Journal of Food Quality, vol. 2021, no. 1, pp. 1-20, 2021, https://doi.org/10.1155/2021/7608296.
[59] A. K. Jumani, W. A. Siddique, M. F. Siddiqui, Kanwal, “Blockchain Security for Fog Computing and Internet of Things,†Fog Computing for Intelligent Cloud IoT Systems, pp. 379-403, 2024, https://doi.org/10.1002/9781394175345.ch16.
[60] B. Pradhan, S. Bhattacharyya, K. Pal, “IoTâ€based applications in healthcare devices,†Journal of healthcare engineering, vol. 2021, no. 1, p. 1-18, 2021, https://doi.org/10.1155/2021/6632599.
[61] A. Banerjee, C. Chakraborty, M. Rathi, “Medical imaging, artificial intelligence, internet of things, wearable devices in terahertz healthcare technologies,†Terahertz biomedical and healthcare technologies, pp. 145-165, 2020, https://doi.org/10.1016/B978-0-12-818556-8.00008-2.
[62] A. Banerjee, S. Vajandar, T. Basu, “Prospects in medical applications of terahertz waves,†Terahertz Biomedical and Healthcare Technologies, pp. 225-239, 2020, https://doi.org/10.1016/B978-0-12-818556-8.00013-6.
[63] M. Mukherjee, S. Chatterjee, “THz medical imaging: Current status and future outlook,†Terahertz Biomedical and Healthcare Technologies, pp. 113-125, 2020, https://doi.org/10.1016/B978-0-12-818556-8.00006-9.
[64] A. Presciuttini, A. Cantini, F. Costa, A. Portioli-Staudacher, “Machine learning applications on IoT data in manufacturing operations and their interpretability implications: A systematic literature review,†Journal of Manufacturing Systems, vol. 74, pp. 477-486, 2024, https://doi.org/10.1016/j.jmsy.2024.04.012.
[65] A. Ma’arif, A. I. Cahyadi, and O. Wahyunggoro, “CDM Based Servo State Feedback Controller with Feedback Linearization for Magnetic Levitation Ball System,†International Journal on Advanced Science, Engineering and Information Technology, vol. 8, no. 3, pp. 930-937, 2018, https://ijaseit.insightsociety.org/index.php/ijaseit/article/view/1218.
[66] A. Maarif, A. I. Cahyadi, S. Herdjunanto, Iswanto, Y. Yamamoto, “Tracking Control of Higher Order Reference Signal Using Integrators and State Feedback,†IAENG International Journal of Computer Science, vol. 46, no. 2, pp. 208-216, 2019, http://www.iaeng.org/IJCS/issues_v46/issue_2/IJCS_46_2_09.pdf.
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