Smart Real-Time IoT mHealth-based Conceptual Framework for Healthcare Services Provision during Network Failures

Authors

  • O.S. Albahri Victorian Institute of Technology, Melbourne, Australia
  • Amneh Alamleh Department of Artificial Intelligence, Faculty of Information Technology, Zarqa University, Zarqa, Jordan
  • Tahsien Al-Quraishi Victorian Institute of Technology, Melbourne, Australia
  • Rahul Thakkar Victorian Institute of Technology, Melbourne, Australia

DOI:

https://doi.org/10.58496/ADSA/2023/010

Keywords:

mHealth, IoT Network Failures, multi-criteria decision-making, telemedicine

Abstract

A series of healthcare problems related to frequent failures in telemedicine architecture, particularly in multi-sensors (Tier 1), medical center servers (Tier 3), and potential failures in network integration between these system components, needed to be addressed. The objective of this research was to present a novel smart real-time IoT mHealth framework within the context of IoT that could select an appropriate hospital during the aforementioned failures. The research methodology involved a new local multi-sensor fusion triage algorithm called the three-level localization triage (3LLT). This aimed to exclude the control process of patient triage and sensor fusion from the medical center, while also alarming failures related to medical body sensors. Additionally, the proposed framework was implemented using the multi-criteria decision-making (MCDM) method, connecting mHealth directly with distributed hospital servers. The distribution of hospitals was determined using the AHP (Analytic Hierarchy Process) based on the crossover between ‘healthcare services/time of arrival of the patient at the hospital’ and ‘hospitals list’ to estimate small power consumption. Validation processes were conducted for the proposed framework. The expected output from this research is to enhance the provision of healthcare services during various network failures.

Downloads

Download data is not yet available.

References

S. Bhaskar et al., "Telemedicine as the new outpatient clinic gone digital: position paper from the pandemic health system REsilience PROGRAM (REPROGRAM) international consortium (Part 2)," Frontiers in public health, vol. 8, p. 410, 2020.

O. S. Albahri et al., "Fault-tolerant mHealth framework in the context of IoT-based real-time wearable health data sensors," IEEE Access, vol. 7, pp. 50052-50080, 2019.

A. S. Albahri, A. Zaidan, O. S. Albahri, B. Zaidan, and M. Alsalem, "Real-time fault-tolerant mHealth system: Comprehensive review of healthcare services, opens issues, challenges and methodological aspects," Journal of medical systems, vol. 42, pp. 1-56, 2018.

O. S. Albahri et al., "New mHealth hospital selection framework supporting decentralised telemedicine architecture for outpatient cardiovascular disease-based integrated techniques: Haversine-GPS and AHP-VIKOR," Journal of Ambient Intelligence and Humanized Computing, pp. 1-21, 2022.

C. W. Chan, V. F. Farias, and G. J. Escobar, "The impact of delays on service times in the intensive care unit," Management Science, vol. 63, no. 7, pp. 2049-2072, 2017.

O. S. Albahri, A. Zaidan, B. Zaidan, M. Hashim, A. S. Albahri, and M. Alsalem, "Real-time remote health-monitoring Systems in a Medical Centre: A review of the provision of healthcare services-based body sensor information, open challenges and methodological aspects," Journal of medical systems, vol. 42, pp. 1-47, 2018.

A. A. Rezaee, M. H. Yaghmaee, A. M. Rahmani, and A. H. Mohajerzadeh, "HOCA: Healthcare aware optimized congestion avoidance and control protocol for wireless sensor networks," Journal of Network and Computer Applications, vol. 37, pp. 216-228, 2014.

S. Ghanavati, J. Abawajy, and D. Izadi, "ECG rate control scheme in pervasive health care monitoring system," in 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2016, pp. 2265-2270: IEEE.

A. Lounis, A. Hadjidj, A. Bouabdallah, and Y. Challal, "Healing on the cloud: Secure cloud architecture for medical wireless sensor networks," Future Generation Computer Systems, vol. 55, pp. 266-277, 2016.

K. Saleem, A. Derhab, J. Al-Muhtadi, and B. Shahzad, "Human-oriented design of secure Machine-to-Machine communication system for e-Healthcare society," Computers in Human Behavior, vol. 51, pp. 977-985, 2015.

M. Usman, M. R. Asghar, I. S. Ansari, M. Qaraqe, and F. Granelli, "An energy consumption model for WiFi direct based D2D communications," in 2018 IEEE global communications conference (GLOBECOM), 2018, pp. 1-6: IEEE.

F. Lobelo et al., "Routine assessment and promotion of physical activity in healthcare settings: a scientific statement from the American Heart Association," Circulation, vol. 137, no. 18, pp. e495-e522, 2018.

J. R. B. Dos Santos, G. Blard, A. S. R. Oliveira, and N. B. De Carvalho, "Wireless sensor tag and network for improved clinical triage," in 2015 Euromicro conference on digital system design, 2015, pp. 399-406: IEEE.

J. Gómez, B. Oviedo, and E. Zhuma, "Patient monitoring system based on internet of things," Procedia Computer Science, vol. 83, pp. 90-97, 2016.

A. Hussain, R. Wenbi, A. L. Da Silva, M. Nadher, and M. Mudhish, "Health and emergency-care platform for the elderly and disabled people in the Smart City," Journal of Systems and Software, vol. 110, pp. 253-263, 2015.

S. J. Miah, J. Hasan, and J. G. Gammack, "On-cloud healthcare clinic: an e-health consultancy approach for remote communities in a developing country," Telematics and Informatics, vol. 34, no. 1, pp. 311-322, 2017.

G. Traverso et al., "Physiologic status monitoring via the gastrointestinal tract," PloS one, vol. 10, no. 11, p. e0141666, 2015.

R. Rajkumar and N. C. S. N. Iyengar, "Dynamic integration of mobile JXTA with cloud computing for emergency rural public health care," Osong public health and research perspectives, vol. 4, no. 5, pp. 255-264, 2013.

N. Kumar, K. Kaur, A. Jindal, and J. J. Rodrigues, "Providing healthcare services on-the-fly using multi-player cooperation game theory in Internet of Vehicles (IoV) environment," Digital Communications and Networks, vol. 1, no. 3, pp. 191-203, 2015.

S. Moretti, S. Cicalò, M. Mazzotti, V. Tralli, and M. Chiani, "Content/context-aware multiple camera selection and video adaptation for the support of m-health services," Procedia Computer Science, vol. 40, pp. 206-213, 2014.

P. Calyam et al., "Synchronous big data analytics for personalized and remote physical therapy," Pervasive and Mobile Computing, vol. 28, pp. 3-20, 2016.

O. Boursalie, R. Samavi, and T. E. Doyle, "M4CVD: Mobile machine learning model for monitoring cardiovascular disease," Procedia Computer Science, vol. 63, pp. 384-391, 2015.

M. Fezari, R. Rasras, and I. M. El Emary, "Ambulatory health monitoring system using wireless sensors node," Procedia Computer Science, vol. 65, pp. 86-94, 2015.

V. Villarreal, J. Fontecha, R. Hervas, and J. Bravo, "Mobile and ubiquitous architecture for the medical control of chronic diseases through the use of intelligent devices: Using the architecture for patients with diabetes," Future generation computer systems, vol. 34, pp. 161-175, 2014.

M. Sebillo, G. Tortora, M. Tucci, G. Vitiello, A. Ginige, and P. Di Giovanni, "Combining personal diaries with territorial intelligence to empower diabetic patients," Journal of Visual Languages & Computing, vol. 29, pp. 1-14, 2015.

A. Katib, D. Rao, P. Rao, K. Williams, and J. Grant, "A prototype of a novel cell phone application for tracking the vaccination coverage of children in rural communities," Computer methods and programs in biomedicine, vol. 122, no. 2, pp. 215-228, 2015.

M. O. Lwin et al., "A 21st century approach to tackling dengue: Crowdsourced surveillance, predictive mapping and tailored communication," Acta tropica, vol. 130, pp. 100-107, 2014.

A. Bresó, J. Martínez-Miranda, E. Fuster-García, and J. M. García-Gómez, "A novel approach to improve the planning of adaptive and interactive sessions for the treatment of major depression," International Journal of Human-Computer Studies, vol. 87, pp. 80-91, 2016.

S. Chakraborty, S. K. Ghosh, A. Jamthe, and D. P. Agrawal, "Detecting mobility for monitoring patients with Parkinson’s disease at home using RSSI in a wireless sensor network," Procedia Computer Science, vol. 19, pp. 956-961, 2013.

S. V. Kovalchuk, E. Krotov, P. A. Smirnov, D. A. Nasonov, and A. N. Yakovlev, "Distributed data-driven platform for urgent decision making in cardiological ambulance control," Future Generation Computer Systems, vol. 79, pp. 144-154, 2018.

C. Polley et al., "Wearable bluetooth triage healthcare monitoring system," Sensors, vol. 21, no. 22, p. 7586, 2021.

[32] A. Paulus, P. Meisen, T. Meisen, S. Jeschke, M. Czaplik, and F. Hirsch, "AUDIME: Augmented disaster medicine," in 2015 17th International Conference on E-health Networking, Application & Services (HealthCom), 2015, pp. 342-345: IEEE.

[33] F. Ullah, A. Khelil, A. A. Sheikh, E. Felemban, and H. M. Bojan, "Towards automated self-tagging in emergency health cases," in 2013 IEEE 15th international conference on e-health networking, applications and services (Healthcom 2013), 2013, pp. 658-663: IEEE.

D. Rodriguez, S. Heuer, A. Guerra, W. Stork, B. Weber, and M. Eichler, "Towards automatic sensor-based triage for individual remote monitoring during mass casualty incidents," in 2014 IEEE international conference on bioinformatics and biomedicine (BIBM), 2014, pp. 544-551: IEEE.

C. Beck and J. Georgiou, "Wearable, multimodal, vitals acquisition unit for intelligent field triage," Healthcare Technology Letters, vol. 3, no. 3, pp. 189-196, 2016.

O. Salman, M. F. A. Rasid, M. I. Saripan, and S. K. Subramaniam, "Multi-sources data fusion framework for remote triage prioritization in telehealth," Journal of medical systems, vol. 38, pp. 1-23, 2014.

M. Yamin, A. M. Basahel, and A. A. Abi Sen, "Managing crowds with wireless and mobile technologies," Wireless Communications and Mobile Computing, vol. 2018, 2018.

S. Adibi, "A mobile health network disaster management system," in 2015 seventh international conference on ubiquitous and future networks, 2015, pp. 424-428: IEEE.

S. Sneha and U. Varshney, "A framework for enabling patient monitoring via mobile ad hoc network," Decision Support Systems, vol. 55, no. 1, pp. 218-234, 2013.

A. Fratini and M. Caleffi, "Medical emergency alarm dissemination in urban environments," Telematics and Informatics, vol. 31, no. 3, pp. 511-517, 2014.

J. Dong and G.-H. Yang, "Reliable state feedback control of T–S fuzzy systems with sensor faults," IEEE Transactions on Fuzzy Systems, vol. 23, no. 2, pp. 421-433, 2014.

J. L. B. Cineros and O. Lund, "KmerFinderJS: a client-server method for fast species typing of bacteria over slow Internet connections," BioRxiv, p. 145284, 2017.

T. Gao et al., "The advanced health and disaster aid network: A light-weight wireless medical system for triage," IEEE Transactions on biomedical circuits and systems, vol. 1, no. 3, pp. 203-216, 2007.

M. M. Salih, O. Albahri, A. Zaidan, B. Zaidan, F. Jumaah, and A. Albahri, "Benchmarking of AQM methods of network congestion control based on extension of interval type-2 trapezoidal fuzzy decision by opinion score method," Telecommunication Systems, pp. 1-30, 2021.

S. Iqbal et al., "Real-time-based E-health systems: Design and implementation of a lightweight key management protocol for securing sensitive information of patients," Health and Technology, vol. 9, no. 2, pp. 93-111, 2019.

R. A. Hamid, A. Albahri, O. Albahri, and A. Zaidan, "Dempster–Shafer theory for classification and hybridised models of multi-criteria decision analysis for prioritisation: a telemedicine framework for patients with heart diseases," Journal of Ambient Intelligence and Humanized Computing, pp. 1-35, 2021.

R. Jędrkiewicz, S. Tsakovski, A. Lavenu, J. Namieśnik, and M. Tobiszewski, "Simultaneous grouping and ranking with combination of SOM and TOPSIS for selection of preferable analytical procedure for furan determination in food," Talanta, vol. 178, pp. 928-933, 2018.

A. Darko, A. P. C. Chan, E. E. Ameyaw, E. K. Owusu, E. Pärn, and D. J. Edwards, "Review of application of analytic hierarchy process (AHP) in construction," International journal of construction management, vol. 19, no. 5, pp. 436-452, 2019.

İ. Durak, H. M. Arslan, and Y. Özdemir, "Application of AHP–TOPSIS methods in technopark selection of technology companies: Turkish case," Technology Analysis & Strategic Management, vol. 34, no. 10, pp. 1109-1123, 2022.

M. Alsalem et al., "Multi-criteria decision-making for coronavirus disease 2019 applications: a theoretical analysis review," Artificial Intelligence Review, pp. 1-84, 2022.

Downloads

Published

2023-11-02

How to Cite

Albahri, O., Alamleh , A., Al-Quraishi , T., & Thakkar, R. (2023). Smart Real-Time IoT mHealth-based Conceptual Framework for Healthcare Services Provision during Network Failures . Applied Data Science and Analysis, 2023, 110–117. https://doi.org/10.58496/ADSA/2023/010
CITATION
DOI: 10.58496/ADSA/2023/010
Published: 2023-11-02

Issue

Section

Articles

Most read articles by the same author(s)