Role of a 24-hour Ambulatory Internet of Things System in Preeclampsia Monitoring: Technologies, Challenges, and Future Path Survey
Main Article Content
Abstract
The Internet of Things (IoT) is a technology that integrates different sensor actuators, working together for data management towards efficient communication within the digital world. IoT has been applied in many sectors to achieve sustainable development goals. Massive devices and a huge amount of data have been the major components of the technology, which has presented new challenges. IoT has been applied in healthcare to improve several ways of managing health, including antenatal care. Worldwide, the cost of having preeclampsia monitoring has been a major concern. A 24-hour ambulatory IoT system, an integration of a smartwatch, a mobile device, and a cloud-based application, is one of the technologies used to help in preeclampsia monitoring. IoT and its functionalities have been evaluated in previous studies and assessments. However, they concentrated on its application in other areas, such as animal husbandry, and little on ambulatory care. The impact of a real-time ambulatory IoT system on preeclampsia monitoring are comprehensively and methodically examined in this paper, focusing on three categories: the challenges and its benefits in ambulatory care. The application’s effects, performance, and safety have been thoroughly described. Generally, this paper explores potential initiatives of the IoT system to address existing ambulatory care issues.
Article Details
References
G. Deimazar, M. Kahouei, Zamani, and Z. Ganji, ‘Health information technology in ambulatory care in a developing country’, Electron. Physician, vol. 10, no. 2, 2018.
M. M. Dhanvijay and S. C. Patil, ‘Internet of Things: A survey of enabling technologies in healthcare and its applications’, Comput. Netw., vol. 153, pp. 113–131, 2019.
Techahead, ‘Evolution of Internet of Things (IoT): Past, present and future’, 2022. https://www.techaheadcorp.com/knowledge-center/evolution-of-iot/#:~:text=The%20evolution%20of%20IoT%20started,internet%20of%20things%20was%20paved. (accessed Jul. 20, 2022).
M. J. Deen, ‘Information and communications technologies for elderly ubiquitous healthcare in a smart home’, Pers. Ubiquitous Comput., vol. 19, no. 3, pp. 573–599, 2015.
F. M. Musyoka, M. Thiga, and G. M. Muketha, ‘A 24-hour ambulatory blood pressure monitoring system for preeclampsia management in antenatal care’, Inform. Med. Unlocked, vol. 16, no. 100199, 2019.
V. S., B. N. ., Kumar Bhagat, A. ., C., C. ., Sulaiman Alfurhood, B. ., Pratap Singh, A. ., & T. R., M. . (2023). Blockchain Based De-Duplication Analysis of Cloud Data with Data Integrity using Policy Based Encryption Technique in Cloud Storage. International Journal of Intelligent Systems and Applications in Engineering, 11(3s), 161–164. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/2555
H. Suhasini and V. Sudarshini, ‘ARM Based Wearable Device for Blood Pressure,Weight and Temperature Measurement in Pregnant Woman’, Int. J. Mag. Eng. Technol. Manag. Res., vol. 2, no. 6, pp. 231–239, 2015.
M. Koofreh, M. Ekott, and D. Ekpoudom, ‘The prevalence of pre?eclampsia among pregnant women in the University of Calabar Teaching Hospital’, Saudi J. Health Sci., vol. 3, no. 3, pp. 133–136, 2014.
R. Severin, A. Sabbahi, A. Albarrati, S. A. Phillips, and S. Arena, ‘Blood pressure screening by outpatient physical therapists: a call to action and clinical recommendations’, Phys. Ther., vol. 100, no. 6, pp. 1008–1019, 2020.
M. H. Forouzanfar et al., ‘Global burden of hypertension and systolic blood pressure of at least 110 to 115 mm Hg, 1990-2015’, Jama, vol. 317, no. 2, pp. 165–182, 2017.
UNICEF, ‘Maternal and NewBorn Health’. UNICEF, 2016. [Online]. Available: https://www.unicef.org/health/index_maternalhealth.html
WHO, ‘Maternal Health. Wolrd Health Organization’, WHO, 2017. [Online]. Available: http://who.int/maternal-health/en/
H. K. Kain, A. T. Hinman, and M. Sokolow, ‘Arterial blood pressure measurements with a portable recorder in hypertensive patients: I. Variability and correlation with" casual" pressures’, Circulation, vol. 30, no. 6, pp. 882–892, 1964.
M. Sokolow, D. Werdegar, H. K. Kain, and A. T. Hinman, ‘Relationship between level of blood pressure measured casually and by portable recorders and severity of complications in essential hypertension.’, Circulation, vol. 34, no. 2, pp. 279–298, 1966.
T. G. Pickering, D. Shimbo, and D. Haas, ‘Ambulatory blood-pressure monitoring’, N. Engl. J. Med., vol. 354, no. 22, pp. 2368–2374, 2006.
R. A. Sanchez, J. Boggia, E. Penaherrera, W. S. Barroso, R. Villar, and G. Parati, ‘Ambulatory blood pressure monitoring over 24 h: A Latin American Society of Hypertension position paper—accessibility, clinical use and cost effectiveness of ABPM in Latin America in year 2020’, J. Clin. Hypertens., vol. 22, no. 4, pp. 527–543, 2020.
W. Rojo-Contreras et al., ‘Circadian rhythm of blood pressure in patients with chronic hypertension and pregnancy’, Ginecol. Obstet. México, vol. 82, no. 9, pp. 604–612, 2014.
F. Al-Turjman, A. Kamal, Husain Rehmani, M. Radwan, A. Radwan, and A. S. Khan Pathan, ‘The green internet of things (g-iot)’, Wirel. Commun. Mob. Comput., 2019, [Online]. Available: doi:doi.org/ 10.1155/2019/6059343
S. Park, ‘A development of UHF RFID device for mobile IoT service’, 2016 IEEE 7th Annu. Ubiquitous Comput. Electron. Mob. Commun. Conf. UEMCON, pp. 1–7, 2016, doi: 10.1109/UEMCON. 2016.7777830.
A. Thongklang, P. Thongnawakun, T. Chanwimalueang, N. Rattanajaruskul, and D. Sueaseenak, ‘An ArduinoBLE based Digital Holter for Thai Ambulatory and Personal Healthcare’, 2021 IEEE 3rd Glob. Conf. Life Sci. Technol. LifeTech, pp. 522–526, Mar. 2021.
L. J. R. Lopez, G. P. Aponte, and A. R. Garcia, ‘Internet of things applied in healthcare based on open hardware with low-energy consumption.’, Healthc. Inform. Res., vol. 25, no. 3, pp. 230–235, 2019.
B. Singh, S. Bhattacharya, C. L. Chowdhary, and D. S. Jat, ‘A review on internet of things and its applications in healthcare.’, J. Chem. Pharm. Sci., vol. 10, no. 1, pp. 447–452, 2017.
P. Maia et al., ‘A Web platform for interconnecting body sensors and improving health care’, Procedia Comput. Sci., vol. 40, pp. 135–142, 2014.
J. Lavariega, G. Cordova, L. Gomez, and A. Avila, ‘Monitoring and Assisting Maternity-Infant Care in Rural Areas (Mamicare)’, Mexico, 2013, vol. 2, pp. 174–184.
A. Adapa, ‘Factors influencing the adoption of smart wearable devices’, Missouri University of Science and Technology., 2016.
A. Maitra and N. Kuntagod, ‘A Novel Mobile Application to Assist Maternal Health Workers in Rural India’, IEEE, vol. 5, no. 13, pp. 75–78, 2013.
P. Maia et al., ‘A Web platform for interconnecting body sensors and improving health care’, Procedia Comput. Sci., vol. 40, pp. 135–142, 2014.
Bill & Melinda Gates Foundation, ‘Wearables and Technology for Maternal, Neonatal and Child Health Behavior Change (Round 19). Global Grand Challenges.’, 2017. [Online]. Available: https://gcgh.grandchallenges.org/challenge/wearables-and-technology-maternal-neonatal-and-child-health-behavior-change-round-19
F. M. Musyoka, M. Thiga, and G. Muketha, ‘A 24-hour ambulatory blood pressure monitoring system for preeclampsia management in antenatal care’, Inform. Med. Unlocked, vol. 16, 2019, doi: 10.1016/j.imu.2019.100199.
F. M. Musyoka, ‘Performance Evaluation of Internet of Things Prototype for Preeclampsia Monitoring in Antenatal Care’, Int. J. Eng. Adv. Technol., vol. 10, no. 2, pp. 112–115, Dec. 2020.
Q. F. Huang et al., ‘Ambulatory blood pressure monitoring to diagnose and manage hypertension’, Hypertension, vol. 77, no. 2, pp. 254–264, 2021.
Y. I. N. Yuehong, Y. Zeng, X. Chen, and Y. Fan, ‘The internet of things in healthcare: An overview’, J. Ind. Inf. Integr., vol. 1, pp. 3–13, 2016.
G. Parati et al., ‘European Society of Hypertension practice guidelines for ambulatory blood pressure monitoring’, J. Hypertens., vol. 32, no. 7, pp. 1359–1366, 2014.
C. Comito, D. Falcone, and A. Forestiero, ‘Current trends and practices in smart health monitoring and clinical decision support.’, 2020 IEEE Int. Conf. Bioinforma. Biomed. BIBM, pp. 2577–2584, Dec. 2020.
A. Anzanpour et al., ‘Self-awareness in remote health monitoring systems using wearable electronics’, Des. Autom. Test Eur. Conf. Exhib. DATE IEEE, pp. 1056–1061, 2017.
V. B. Shalini, ‘Smart Health Care Monitoring System based on Internet of Things (IOT).’, 2021 Int. Conf. Artif. Intell. Smart Syst. ICAIS, pp. 1449–1453, Mar. 2021.
S. Neelam, ‘Internet of Things in Health Care’, Master of Science in Electrical Engineering: Telecommunication Systems, Blekinge Institute of Technology, Sweden, 2017.
S. Islam, D. Kwak, and M. Hossain, ‘The Internet of Things for Health Care: A Comprehensive Survey’, IEEE, vol. 3, pp. 678–708, Jun. 2015.
Z. N. Aghdam, A. M. Rahmani, and M. Hosseinzadeh, ‘The role of the Internet of Things in healthcare: Future trends and challenges.’, Comput. Methods Programs Biomed., vol. 199, no. 105903, 2021.
H. Ahmadi, G. Arji, L. Shahmoradi, R. Safdari, M. Nilashi, and M. Alizadeh, ‘The application of Internet of Things in healthcare: a systematic literature review and classification.’, Univers. Access Inf. Soc., vol. 18, pp. 837–69, 2019.
N. D. Hoa, ‘Smart Sensors for Health Care Application: Challenges and Opportunities: Keynote Talk# 1.’, in In 2020 4th International Conference on Recent Advances in Signal Processing, Telecommunications & Computing (SigTelCom), Aug. 2020.