Real-Time Remote Patient Monitoring: A Review of Biosensors Integrated with Multi-Hop IoT Systems via Cloud Connectivity
Source abstract
Abstract
This comprehensive review paper explores the intricate integration of biosensors with multi-hop Internet of Things (IoT) systems, representing a paradigm shift in healthcare through real-time remote patient monitoring. The strategic deployment of biosensors in different locations in medical facilities, intricately connected to multiple microcontrollers, serves as a cornerstone in the establishment of robust multi-hop IoT networks. This paper highlights the role of this multi-hop IoT network, which efficiently facilitates the seamless transmission of vital health data to a centralized server. Crucially, the utilization of cloud connectivity emerges as a linchpin in this integration, providing a secure and scalable platform for remote patient monitoring. This cloud-based approach not only improves the accessibility of critical health information but also transcends physical limitations, allowing healthcare providers to monitor patients in real-time from any location. This paper highlights the transformative potential of this integration in overcoming traditional healthcare limitations through real-time remote patient monitoring.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Molecular Communication and Nanonetworks · IoT and Edge/Fog Computing · Wireless Body Area Networks
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Electrical, Electronic and Computer Engineering, University of Ulsan, Ulsan 44610, Republic of Korea
Funding
Korean Government’s Ministry of Science and ICT (MSIT) · Ministry of Education (MOE)
References (100+)
Show source-provided references
1. Internet of Things is a revolutionary approach for future technology enhancement: A review10.1186/s40537-019-0268-2 ↗
2. Internet of things (IoT)
3. The Internet of Things (IoT) in healthcare: Taking stock and moving forward10.1016/j.iot.2023.100721 ↗
4. A comprehensive systematic and bibliometric review of the IoT-based healthcare systems10.1007/s10586-023-04047-1 ↗
5. Kumar, M., Kumar, A., Verma, S., Bhattacharya, P., Ghimire, D., Kim, S.H., and Hosen, A.S. (2023). Healthcare Internet of Things (H-IoT): Current Trends, Future Prospects, Applications, Challenges, and Security Issues. Electronics, 12.10.3390/electronics12092050 ↗
6. Chataut, R., Phoummalayvane, A., and Akl, R. (2023). Unleashing the power of IoT: A comprehensive review of IoT applications and future prospects in healthcare, agriculture, smart homes, smart cities, and industry 4.0. Sensors, 23.10.20944/preprints202306.0002.v1 ↗
7. The Internet of Things: Impact and implications for health care delivery10.2196/20135 ↗
8. Remote patient monitoring systems: Applications, architecture, and challenges
9. Strengthening healthcare delivery with remote patient monitoring in the time of COVID-1910.1136/bmjhci-2020-100302 ↗
10. Smart healthcare support for remote patient monitoring during COVID-19 quarantine10.1016/j.imu.2020.100428 ↗
11. An Optimized Artificial Intelligence System Using IoT Biosensors Networking for Healthcare Problems10.1155/2022/2206573 ↗
12. Subasi, A., Bandic, L., and Qaisar, S.M. (2020). Cloud-Based Health Monitoring Framework Using Smart Sensors and Smartphone, Academic Press.10.1016/B978-0-12-819043-2.00009-5 ↗
13. Kumar Pandey, A., and Maneria, S. (2022). Cloud Computing Methods Based on IoT for Better Patient Data Planning: A Research, IEEE.10.1109/SMART55829.2022.10046668 ↗
14. Parane, K.A., Patil, N.C., Poojara, S.R., and Kamble, T.S. (2014). Cloud Based Intelligent Healthcare Monitoring System, IEEE.10.1109/ICICICT.2014.6781365 ↗
15. Smart healthcare system based on cloud-internet of things and deep learning10.1155/2021/4109102 ↗
16. Cloud computing approaches in health care10.1016/j.matpr.2021.07.210 ↗
17. Reshaping healthcare with wearable biosensors10.1038/s41598-022-26951-z ↗
18. Song, Z., Zhou, S., Qin, Y., Xia, X., Sun, Y., Han, G., Shu, T., Hu, L., and Zhang, Q. (2023). Flexible and Wearable Biosensors for Monitoring Health Conditions. Biosensors, 13.10.3390/bios13060630 ↗
19. Zhang, S. (2023). Current development on wearable biosensors towards biomedical applications. Front. Bioeng. Biotechnol., 11.10.3389/fbioe.2023.1264337 ↗
20. Ye, S., Feng, S., Huang, L., and Bian, S. (2020). Recent progress in wearable biosensors: From healthcare monitoring to sports analytics. Biosensors, 10.10.3390/bios10120205 ↗
21. Flexible, wearable biosensors for digital health10.1016/j.medntd.2022.100118 ↗
22. Jin, X., Liu, C., Xu, T., Su, L., and Zhang, X. (2020). Artificial intelligence biosensors: Challenges and prospects. Biosens. Bioelectron., 165.10.1016/j.bios.2020.112412 ↗
23. Zhang, Y., Hu, Y., Jiang, N., and Yetisen, A.K. (2023). Wearable artificial intelligence biosensor networks. Biosens. Bioelectron., 219.10.1016/j.bios.2022.114825 ↗
24. Wearable biosensors for healthcare monitoring10.1038/s41587-019-0045-y ↗
25. Prasad, A.S., and Kavanashree, N. (2019, January 17–19). ECG monitoring system using AD8232 sensor. Proceedings of the International Conference on Communication and Electronics Systems (ICCES), Coimbatore, India.10.1109/ICCES45898.2019.9002540 ↗
26. Moreno Escobar, J.J., Morales Matamoros, O., Tejeida Padilla, R., Chanona Hernandez, L., Posadas Duran, J.P.F., Perez Martinez, A.K., Lina Reyes, I., and Quintana Espinosa, H. (2020). Biomedical signal acquisition using sensors under the paradigm of parallel computing. Sensors, 20.10.3390/s20236991 ↗
27. Max30102 photometric biosensor coupled to esp32-webserver capabilities for continuous point of care oxygen saturation and heartrate monitoring
28. Valenti, S., Volpes, G., Parisi, A., Peri, D., Lee, J., Faes, L., Busacca, A., and Pernice, R. (2023). Wearable Multisensor Ring-Shaped Probe for Assessing Stress and Blood Oxygenation: Design and Preliminary Measurements. Biosensors, 13.10.3390/bios13040460 ↗
29. Secure health monitoring communication systems based on IoT and cloud computing for medical emergency applications10.1155/2021/8016525 ↗
30. Engineers, L.M. (2023, December 08). Interfacing MAX30102 Pulse Oximeter and Heart Rate Sensor with Arduino. Available online: https://lastminuteengineers.com/max30102-pulse-oximeter-heart-rate-sensor-arduino-tutorial/.
31. IoT data analytics architecture for smart healthcare using RFID and WSN10.4218/etrij.2020-0036 ↗
32. BIG data based on healthcare analysis using IOT devices10.1088/1757-899X/263/4/042059 ↗
33. An energy-efficient multi-hop routing protocol for health monitoring in wireless body area networks10.1007/s13721-019-0201-9 ↗
34. Akbar, M.S., Hussain, Z., Sheng, M., and Shankaran, R. (2022). Wireless body area sensor networks: Survey of mac and routing protocols for patient monitoring under ieee 802.15. 4 and ieee 802.15. 6. Sensors, 22.10.3390/s22218279 ↗
35. Tronci, E.M., Nagabuko, S., Hieda, H., and Feng, M.Q. (2022). Long-Range Low-Power Multi-Hop Wireless Sensor Network for Monitoring the Vibration Response of Long-Span Bridges. Sensors, 22.10.3390/s22103916 ↗
36. Sustainable remote patient monitoring in wireless body area network with Multi-hop routing and scheduling: A four-fold objective based optimization approach10.1007/s11276-023-03276-x ↗
37. Khalifeh, A., Mazunga, F., Nechibvute, A., and Nyambo, B.M. (2022). Microcontroller Unit-Based Wireless Sensor Network Nodes: A Review. Sensors, 22.10.3390/s22228937 ↗
38. Alahi, M.E.E., Sukkuea, A., Tina, F.W., Nag, A., Kurdthongmee, W., Suwannarat, K., and Mukhopadhyay, S.C. (2023). Integration of IoT-Enabled Technologies and Artificial Intelligence (AI) for Smart City Scenario: Recent Advancements and Future Trends. Sensors, 23.10.3390/s23115206 ↗
39. Toward energy efficient microcontrollers and Internet-of-Things systems10.1016/j.compeleceng.2019.106457 ↗
40. A Survey on Standards for Interoperability and Security in the Internet of Things10.1109/COMST.2021.3067354 ↗
41. Internet of things reference architectures, security and interoperability: A survey
42. Shah, Q.A., Shafi, I., Ahmad, J., Alfarhood, S., Safran, M., and Ashraf, I. (2023). A Meta Modeling-Based Interoperability and Integration Testing Platform for IoT Systems. Sensors, 23.10.3390/s23218730 ↗
43. Taherdoost, H. (2023). Security and Internet of Things: Benefits, Challenges, and Future Perspectives. Electronics, 12.10.3390/electronics12081901 ↗
44. Sadek, I., Codjo, J., Rehman, S.U., and Abdulrazak, B. (2022). Security and privacy in the Internet of Things healthcare systems: Toward a robust solution in real-life deployment. Comput. Methods Programs Biomed. Update, 2.10.1016/j.cmpbup.2022.100071 ↗
45. Security and Privacy in IoT-based Healthcare Systems: A Review10.58496/MJCSC/2022/007 ↗
46. Kanellopoulos, D., Sharma, V.K., Panagiotakopoulos, T., and Kameas, A. (2023). Networking Architectures and Protocols for IoT Applications in Smart Cities: Recent Developments and Perspectives. Electronics, 12.10.3390/electronics12112490 ↗
47. Kim, T., Yoo, S., and Kim, Y. (2021). Edge/Fog Computing Technologies for IoT Infrastructure. Sensors, 21.10.3390/s21093001 ↗
48. Fog node discovery and selection: A Systematic literature review10.1016/j.future.2022.04.034 ↗
49. Dynamic Routing Protocol in The Internet of Things (IoT)10.24271/psr.2022.161642 ↗
50. Paganelli, A.I., Mondéjar, A.G., da Silva, A.C., Silva-Calpa, G., Teixeira, M.F., Carvalho, F., Raposo, A., and Endler, M. (2022). Real-time data analysis in health monitoring systems: A comprehensive systematic literature review. J. Biomed. Inform., 127.10.1016/j.jbi.2022.104009 ↗
51. Verma, D., Singh, K.R., Yadav, A.K., Nayak, V., Singh, J., Solanki, P.R., and Singh, R.P. (2022). Internet of things (IoT) in nano-integrated wearable biosensor devices for healthcare applications. Biosens. Bioelectron. X, 11.10.1016/j.biosx.2022.100153 ↗
52. Kokabi, M., Tahir, M.N., Singh, D., and Javanmard, M. (2023). Advancing Healthcare: Synergizing Biosensors and Machine Learning for Early Cancer Diagnosis. Biosensors, 13.10.3390/bios13090884 ↗
53. Recent Advances and Challenges in Internet of Things (IoT)-based Smartphone Biosensors for Covid-19 and Zika Viruses Detection: A Review10.1109/JSEN.2023.3314656 ↗
54. Mrabet, H., Belguith, S., Alhomoud, A., and Jemai, A. (2020). A survey of IoT security based on a layered architecture of sensing and data analysis. Sensors, 20.10.3390/s20133625 ↗
55. Khan, A.U., Khan, M.E., Hasan, M., Zakri, W., Alhazmi, W., and Islam, T. (2022). An Efficient Wireless Sensor Network Based on the ESP-MESH Protocol for Indoor and Outdoor Air Quality Monitoring. Sustainability, 14.10.3390/su142416630 ↗
56. Islam, M.R., Kabir, M.M., Mridha, M.F., Alfarhood, S., Safran, M., and Che, D. (2023). Deep Learning-Based IoT System for Remote Monitoring and Early Detection of Health Issues in Real-Time. Sensors, 23.10.3390/s23115204 ↗
57. Heaney, J., Buick, J., Hadi, M.U., and Soin, N. (2022). Internet of Things-based ECG and vitals healthcare monitoring system. Micromachines, 13.10.3390/mi13122153 ↗
58. Research and development of an iot-based remote asthma patient monitoring system10.1155/2021/2192913 ↗
59. Detection of Oxygen Levels (SpO2) and Heart Rate Using a Pulse Oximeter for Classification of Hypoxemia Based on Fuzzy Logic10.26555/jiteki.v8i1.22139 ↗
60. Jincheng, Z., Yanfei, L., Boyuan, Z., and Kai, W. (2021, January 2–4). Design and implementation of wearable oxygen saturation monitoring system. Proceedings of the IEEE International Conference on Electrical Engineering and Mechatronics Technology (ICEEMT), Qingdao, China.10.1109/ICEEMT52412.2021.9601533 ↗
61. An IoT-based interoperable architecture for wireless biomonitoring of patients with sensor patches10.1016/j.iot.2022.100547 ↗
62. Healthcare and patient monitoring using IoT10.1016/j.iot.2020.100173 ↗
63. Phan, D.T., Nguyen, C.H., Nguyen, T.D.P., Tran, L.H., Park, S., Choi, J., Lee, B.i., and Oh, J. (2022). A flexible, wearable, and wireless biosensor patch with internet of medical things applications. Biosensors, 12.10.3390/bios12030139 ↗
64. IoT-associated impedimetric biosensing for point-of-care monitoring of kidney health10.1109/JSEN.2020.3011848 ↗
65. Liu, Y., Tong, K.F., Qiu, X., Liu, Y., and Ding, X. (June, January 30). Wireless Mesh Networks in IoT networks. Proceedings of the International Workshop on Electromagnetics: Applications and Student Innovation Competition, London, UK.
66. Implementing Wireless Mesh Network Topology between Multiple Wi-Fi Powered Nodes for IoT Systems
67. Cilfone, A., Davoli, L., Belli, L., and Ferrari, G. (2019). Wireless mesh networking: An IoT-oriented perspective survey on relevant technologies. Future Internet, 11.10.3390/fi11040099 ↗
68. Next generation IEEE 802.11 Wireless Local Area Networks: Current status, future directions and open challenges10.1016/j.comcom.2015.10.007 ↗
69. Biswas, D., Barai, S., and Sau, B. (2021, January 11–12). A WiFi-based self-organizing multi-hop sensor network for Internet of Things. Proceedings of the International Conference on Innovative Trends in Information Technology (ICITIIT), Kottayam, India.10.1109/ICITIIT51526.2021.9399609 ↗
70. Nourildean, S.W., Hassib, M.D., and Mohammed, Y.A. (2023, January 9–12). AD-Hoc Routing Protocols in WSN-WiFi based IoT in Smart Home. Proceedings of the 15th International Conference on Developments in eSystems Engineering (DeSE), Baghdad, Iraq.10.1109/DeSE58274.2023.10099981 ↗
71. Xu, X., Yuan, D., and Wan, J. (2008, January 13–15). An Enhanced Routing Protocol for ZigBee/IEEE 802.15.4 Wireless Networks. Proceedings of the 2nd International Conference on Future Generation Communication and Networking, Sanya, China.10.1109/FGCN.2008.154 ↗
72. Midda, S., and Koner, R. (2022, January 8–10). Application of Low Cost Energy Efficient ZigBee Network Protocol To Develop A Cyber-Physical Intelligent System For Monitoring Mine Slope Health. Proceedings of the OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON), Raigarh, India.
73. Kumar, A., Sharma, A., and Grewal, K. (2014, January 6–8). Resolving the paradox between IEEE 802.15.4 and Zigbee. Proceedings of the International Conference on Reliability Optimization and Information Technology (ICROIT), Haryana, India.10.1109/ICROIT.2014.6798371 ↗
74. Ramya, C.M., Shanmugaraj, M., and Prabakaran, R. (2011, January 8–10). Study on ZigBee technology. Proceedings of the 3rd International Conference on Electronics Computer Technology, Kanyakumari, India.10.1109/ICECTECH.2011.5942102 ↗
75. Unwala, I., Taqvi, Z., and Lu, J. (2018, January 4–6). Thread: An IoT Protocol. Proceedings of the IEEE Green Technologies Conference (GreenTech), Austin, TX, USA.10.1109/GreenTech.2018.00037 ↗
76. Unwala, I., Taqvi, Z., and Lu, J. (2018, January 4–6). IoT Security: ZWave and Thread. Proceedings of the IEEE Green Technologies Conference (GreenTech), Austin, TX, USA.10.1109/GreenTech.2018.00040 ↗
77. Khattak, S.B.A., Nasralla, M.M., Farman, H., and Choudhury, N. (2023). Performance Evaluation of an IEEE 802.15. 4-Based Thread Network for Efficient Internet of Things Communications in Smart Cities. Appl. Sci., 13.10.3390/app13137745 ↗
78. Ghori, M.R., Wan, T.C., and Sodhy, G.C. (2020). Bluetooth low energy mesh networks: Survey of communication and security protocols. Sensors, 20.10.3390/s20123590 ↗
79. Darroudi, S.M., and Gomez, C. (2017). Bluetooth Low Energy Mesh Networks: A Survey. Sensors, 17.10.3390/s17071467 ↗
80. Natgunanathan, I., Fernando, N., Loke, S.W., and Weerasuriya, C. (2023). Bluetooth Low Energy Mesh: Applications, Considerations and Current State-of-the-Art. Sensors, 23.10.3390/s23041826 ↗
81. Dvinge, R.T.E., Stalmach, A., and Nalpantidis, L. (2019, January 13–15). Connection-based Bluetooth mesh network as a low energy solution for off-grid data networks. Proceedings of the 8th International Conference on Modern Circuits and Systems Technologies (MOCAST), Thessaloniki, Greece.10.1109/MOCAST.2019.8741589 ↗
82. Shibasaki, Y., Iwamura, K., and Sato, K. (2022). A Communication-Efficient Secure Routing Protocol for IoT Networks. Sensors, 22.10.3390/s22197503 ↗
83. On routing algorithms in the internet of vehicles: A survey10.1080/09540091.2023.2272583 ↗
84. Lightweight multi-hop routing protocol for resource optimisation in edge computing networks10.1016/j.iot.2023.100758 ↗
85. Impact of transmission power control in multi-hop networks10.1016/j.future.2016.10.010 ↗
86. Musaddiq, A., Olsson, T., and Ahlgren, F. (2023). Reinforcement-Learning-Based Routing and Resource Management for Internet of Things Environments: Theoretical Perspective and Challenges. Sensors, 23.10.3390/s23198263 ↗
87. Performance Optimization of Multi-Hop Routing Protocols With Clustering-Based Hybrid Networking Architecture in Mobile Adhoc Cloud Networks
88. Data aggregation protocols for WSN and IoT applications–A comprehensive survey
89. Data aggregation mechanisms in the Internet of things: A systematic review of the literature and recommendations for future research10.1016/j.jnca.2017.08.006 ↗
90. Data aggregation scheme for IOT based wireless sensor network through optimal clustering method10.1016/j.measen.2022.100538 ↗
91. An Energy-Efficient Data Aggregation Mechanism for IoT Secured by Blockchain10.1109/ACCESS.2022.3146295 ↗
92. Network management schemes for IoT environment towards 6G: A comprehensive review10.1016/j.micpro.2023.104928 ↗
93. Fortino, G., Guerrieri, A., Pace, P., Savaglio, C., and Spezzano, G. (2022). Iot platforms and security: An analysis of the leading industrial/commercial solutions. Sensors, 22.10.3390/s22062196 ↗
94. Internet of Things: Architectures, Protocols, and Applications
95. Mugerwa, D., Nam, Y., Choi, H., Shin, Y., and Lee, E. (2023). Implicit Overhearing Node-Based Multi-Hop Communication Scheme in IoT LoRa Networks. Sensors, 23.10.3390/s23083874 ↗
96. Multihop Uplink Communication Approach Based on Layer Clustering in LoRa Networks for Emerging IoT Applications
97. Dynamic Reliability Management of Multigateway IoT Edge Computing Systems10.1109/JIOT.2022.3185082 ↗
98. An enhanced energy efficient protocol for large-scale IoT-based heterogeneous WSNs
99. Design and implementation of low power bio signal sensors for wireless body sensing network applications10.1016/j.micpro.2020.103271 ↗
100. Zanelli, F., Castelli-Dezza, F., Tarsitano, D., Mauri, M., Bacci, M.L., and Diana, G. (2021). Design and field validation of a low power wireless sensor node for structural health monitoring. Sensors, 21.10.3390/s21041050 ↗