The Role of Digital Health Technologies and Sensors in Revolutionizing Wearable Health Monitoring Systems

Authors

  • Siti Nur Department of Computer Science, Lampung University, Bandar Lampung, Indonesia

Keywords:

Sensor, Healthcare, Localization, Digital, Wearable.

Abstract

The rapid advancement of digital health technologies and sensor innovations has transformed wearable health monitoring systems, enabling unprecedented levels of personalized care, real-time health tracking, and early disease detection. This paper explores the pivotal role of these technologies in revolutionizing the healthcare landscape. We examine the integration of cutting-edge sensors, including biosensors, motion sensors, and environmental sensors, within wearable devices, which allow for continuous monitoring of physiological parameters such as heart rate, blood pressure, glucose levels, and physical activity. The paper also highlights the growing impact of artificial intelligence (AI) and machine learning (ML) in enhancing the accuracy, predictive capabilities, and decision-making processes of these systems. Furthermore, we discuss the challenges of data privacy, system interoperability, and the need for robust regulatory frameworks to ensure the safe and effective implementation of wearable health devices. In conclusion, we propose that the continued evolution of digital health technologies and sensors will play a crucial role in the future of preventive healthcare, offering new opportunities for improving health outcomes and reducing the burden on traditional healthcare infrastructures.

References

E. P. Adeghe, C. A. Okolo, and O. T. Ojeyinka, "A review of wearable technology in healthcare: Monitoring patient health and enhancing outcomes," OARJ of Multidisciplinary Studies, vol. 7, no. 1, pp. 142–148, 2024. Available: https://doi.org/10.53022/oarjms.2024.7.1.0019.

M. U. Tariq, "Advanced wearable medical devices and their role in transformative remote health monitoring," in Transformative Approaches to Patient Literacy and Healthcare Innovation, IGI Global, 2024, pp. 308–326. Available: https://doi.org/10.4018/979-8-3693-3661-8.ch015.

A. Ahuja, S. Agrawal, S. Acharya, N. Batra, and V. Daiya, "Advancements in wearable digital health technology: A review of epilepsy management," Cureus, vol. 16, no. 3, 2024. Available: https://doi.org/10.7759/cureus.57037.

T. Ahmad, "3D localization techniques for wireless sensor networks," Ph.D. dissertation, Auckland Univ. of Technol., Auckland, New Zealand, 2019. Available: https://openrepository.aut.ac.nz/handle/10292/12965.

P. Kaniewski and T. Kraszewski, "Drone-based system for localization of people inside buildings," in Proc. 2018 14th Int. Conf. Adv. Trends Radioelectron., Telecommun. Comput. Eng. (TCSET), Lviv-Slavske, Ukraine, 2018, pp. 46–51. Available: https://doi.org/10.1109/TCSET.2018.8336153.

B. Dil, S. Dulman, and P. Havinga, "Range-based localization in mobile sensor networks," in Proc. Eur. Workshop Wireless Sensor Networks, Berlin, Germany, Feb. 2006, pp. 164–179. Available: http://dx.doi.org/10.1007/11669463_14.

J. Skoda and R. Barták, "Camera-based localization and stabilization of a flying drone," in Proc. 28th Int. Flairs Conf., Palm Beach, FL, USA, Apr. 2015. Available: https://cdn.aaai.org/ocs/10398/10398-46074-1-PB.pdf.

T. Ahmad, X. J. Li, and B. C. Seet, "Parametric loop division for 3D localization in wireless sensor networks," Sensors, vol. 17, no. 7, p. 1697, Jul. 2017. Available: http://dx.doi.org/10.3390/s17071697.

V. Rajendran, K. Obraczka, and J. J. Garcia-Luna-Aceves, "Energy-efficient, collision-free medium access control for wireless sensor networks," in Proc. ACM SenSys '03, Los Angeles, CA, USA, Nov. 2003, pp. 181–192. Available: http://dx.doi.org/10.1007/s11276-006-6151-z.

L. Bao and J. J. Garcia-Luna-Aceves, "A new approach to channel access scheduling for ad hoc networks," in Proc. 7th Annu. Int. Conf. Mobile Comput. Netw., 2001, pp. 210–221. Available: http://dx.doi.org/10.1145/381677.381698.

M. Wang, J. Chen, and J. Ma, "Monitoring and evaluating the status and behaviour of construction workers using wearable sensing technologies," Autom. Constr., vol. 165, 2024, p. 105555. Available: https://doi.org/10.1016/j.autcon.2024.105555.

E. S. Spatz, G. S. Ginsburg, J. S. Rumsfeld, and M. P. Turakhia, "Wearable digital health technologies for monitoring in cardiovascular medicine," N. Engl. J. Med., vol. 390, no. 4, pp. 346–356, 2024. Available: https://doi.org/10.1056/NEJMra2301903.

T. Ahmad, X. J. Li, and B. C. Seet, "A self-calibrated centroid localization algorithm for indoor ZigBee WSNs," in Proc. 2016 8th IEEE Int. Conf. Commun. Softw. Netw. (ICCSN), Beijing, China, 2016, pp. 455–461. Available: https://doi.org/10.1109/ICCSN.2016.7587200.

A. Albanese, V. Sciancalepore, and X. Costa-Pérez, "SARDO: An automated search-and-rescue drone-based solution for victims localization," IEEE Trans. Mobile Comput., vol. 21, no. 9, pp. 3312–3325, 2021. Available: https://doi.org/10.1109/TMC.2021.3051273.

P. Nguyen, T. Kim, J. Miao, D. Hesselius, E. Kenneally, D. Massey, E. Frew, R. Han, and T. Vu, "Towards RF-based localization of a drone and its controller," in Proc. 5th Workshop Micro Aerial Vehicle Networks, Systems, and Appl., 2019, pp. 21–26. Available: http://dx.doi.org/10.1109/CDS52072.2021.00079.

D. Prakashan, A. Kaushik, and S. Gandhi, "Smart sensors and wound dressings: Artificial intelligence-supported chronic skin monitoring–A review," Chem. Eng. J., vol. 154371, 2024. Available: https://doi.org/10.1016/j.cej.2024.154371.

M. B. Kulkarni, S. Rajagopal, B. Prieto-Simón, and B. W. Pogue, "Recent advances in smart wearable sensors for continuous human health monitoring," Talanta, vol. 272, p. 125817, 2024. Available: https://doi.org/10.1016/j.talanta.2024.125817.

T. Ahmad, X. J. Li, and B.-C. Seet, "3D localization based on parametric loop division and subdivision surfaces for wireless sensor networks," in Proc. 2016 25th Wireless and Optical Communication Conf. (WOCC), pp. 1–6, 2016. Available from: https://doi.org/10.1109/WOCC.2016.7506540

Y. C. Tay, K. Jamieson, and H. Balakrishnan, “Collision minimizing CSMA and its applications to wireless sensor networks,” IEEE J. Sel. Areas Commun., vol. 22, no. 6, pp. 1048–1057, Aug. 2004. Available from: https://doi.org/10.1109/JSAC.2004.830898

J. Yousaf, H. Zia, M. Alhalabi, M. Yaghi, T. Basmaji, E. Al Shehhi, A. Gad, M. Alkhedher, and M. Ghazal, "Drone and controller detection and localization: Trends and challenges," Appl. Sci., vol. 12, no. 24, p. 12612, 2022. Available from: http://dx.doi.org/10.3390/app122412612

J.-H. Kang, K.-J. Park, and H. Kim, "Analysis of localization for drone-fleet," in Proc. 2015 Int. Conf. Information and Communication Technology Convergence (ICTC), pp. 533–538, 2015. Available from: https://doi.org/10.1109/ICTC.2015.7354604

T. Ahmad, X. J. Li, and B.-C. Seet, "3D localization using social network analysis for wireless sensor networks," in Proc. 2018 IEEE 3rd Int. Conf. Communication and Information Systems (ICCIS), pp. 88–92, 2018. Available from: https://doi.org/10.1109/ICOMIS.2018.8644742

J. H. Betzing, "Beacon-based customer tracking across the high street: perspectives for location-based smart services in retail," 2018. Available from: http://dx.doi.org/10.1080/0267257X.2019.1689154

H. Zhang, G. Wang, Z. Lei, and J. N. Hwang, "Eye in the sky: Drone-based object tracking and 3D localization," in Proc. 27th ACM Int. Conf. Multimedia, pp. 899–907, Oct. 2019. Available from: http://dx.doi.org/10.48550/arXiv.1910.08259

I. Bisio, C. Garibotto, H. Haleem, F. Lavagetto, and A. Sciarrone, "On the localization of wireless targets: A drone surveillance perspective," IEEE Network, vol. 35, no. 5, pp. 249–255, 2021. Available from: http://dx.doi.org/10.1109/MNET.011.2000648

L. Jayatilleke and N. Zhang, "Landmark-based localization for unmanned aerial vehicles," in Proc. 2013 IEEE Int. Systems Conf. (SysCon), pp. 448–451, Apr. 2013. Available from: https://doi.org/10.1109/SysCon.2013.6549921

T. Ahmad, M. Usman, M. Murtaza, I. B. Benitez, A. Anwar, V. Vassiliou, A. Irshad, X. J. Li, and E. A. Al-Ammar, "A novel self-calibrated UWB based indoor localization system for context-aware applications," IEEE Trans. Consum. Electron., 2024. Available from: https://doi.org/10.1109/TCE.2024.3369193

H. Lu, "Ultrasonic signal design for beacon-based indoor localization," 2021. Available from: http://dx.doi.org/10.1109/WISP.2005.1531684

X. Chang, C. Yang, J. Wu, X. Shi, and Z. Shi, "A surveillance system for drone localization and tracking using acoustic arrays," in Proc. 2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM), pp. 573–577, 2018. Available from: https://doi.org/10.1109/SAM.2018.8448409

S. O. Al-Jazzar and Y. Jaradat, "AOA-based drone localization using wireless sensor-doublets," Phys. Commun., vol. 42, p. 101160, 2020. Available from: http://dx.doi.org/10.1016/j.phycom.2020.101160

T. Ahmad, X. J. Li, B.-C. Seet, and J. C. Cano, "Social network analysis based localization technique with clustered closeness centrality for 3D wireless sensor networks," Electronics, vol. 9, no. 5, p. 738, 2020. Available from: https://doi.org/10.1109/ICOMIS.2018.8644742

K. Amer, M. Samy, R. ElHakim, M. Shaker, and M. ElHelw, "Convolutional neural network-based deep urban signatures with application to drone localization," in Proc. IEEE Int. Conf. Comput. Vision Workshops, pp. 2138–2145, 2017. Available from: https://doi.org/10.1109/ICCVW.2017.250

X. Cheng, F. Shu, Y. Li, Z. Zhuang, D. Wu, and J. Wang, "Optimal measurement of drone swarm in RSS-based passive localization with region constraints," IEEE Open J. Veh. Technol., vol. 4, pp. 1–11, 2022. Available from: https://doi.org/10.1109/OJVT.2022.3213866

M. Meles, A. Rajasekaran, K. Ruttik, R. Virrankoski, and R. Jäntti, "Measurement based performance evaluation of drone self-localization using AoA of cellular signals," in Proc. 2021 24th Int. Symp. Wireless Personal Multimedia Communications (WPMC), pp. 1–5, 2021. Available from: https://doi.org/10.1109/WPMC52694.2021.9700407

M. A. Saleem, Z. Shijie, M. U. Sarwar, T. Ahmad, A. Maqbool, C. S. Shivachi, and M. Tariq, "Deep learning-based dynamic stable cluster head selection in VANET," J. Adv. Transp., 2021. Available from: http://dx.doi.org/10.1155/2021/9936299

H. Xu, Y. Tu, W. Xiao, Y. Mao, and T. Shen, “An Archimedes curve-based mobile anchor node localization algorithm in wireless sensor networks,” in Proc. 8th World Congr. Intell. Control Autom. (WCICA ‟10), pp. 6993–6997, Jinan, China, Jul. 2010. Available from: https://doi.org/10.1109/WCICA.2010.5554257

J. Lee, W. Chung, and E. Kim, “Robust DV-Hop algorithm for localization in wireless sensor network,” in Proc. Int. Conf. Control, Autom. Syst., pp. 2506–2509, Gyeonggi-do, South Korea, Oct. 2010. Available from: https://doi.org/10.1109/ICCAS.2010.5670294

Y. Gu, Q. Song, Y. Li, M. Ma, and Z. Zhou, "An anchor-based pedestrian navigation approach using only inertial sensors," Sensors, vol. 16, no. 3, p. 334, 2016. Available from: http://dx.doi.org/10.3390/s16030334

T. Ahmad, X. J. Li, and B.-C. Seet, "Noise reduction scheme for parametric loop division 3D wireless localization algorithm based on extended Kalman filtering," J. Sensor Actuator Networks, vol. 8, no. 2, p. 24, 2019. Available from: http://dx.doi.org/10.3390/jsan8020024

X. Cheng, W. Shi, W. Cai, W. Zhu, T. Shen, F. Shu, and J. Wang, "Communication-efficient coordinated RSS-based distributed passive localization via drone cluster," IEEE Trans. Veh. Technol., vol. 71, no. 1, pp. 1072–1076, 2021. Available from: https://doi.org/10.1109/TVT.2021.3125361

C. Steup, J. Beckhaus, and S. Mostaghim, "A single-copter UWB-ranging-based localization system extendable to a swarm of drones," Drones, vol. 5, no. 3, p. 85, 2021. Available from: https://doi.org/10.3390/drones5030085

N. Yang, C. Fan, H. Chen, M. Tang, J. Hu, and Z. Zhang, "The next-generation of metaverse embodiment interaction devices: A self-powered sensing smart monitoring system," Chem. Eng. J., vol. 499, p. 156512, 2024. Available: https://doi.org/10.1016/j.cej.2024.156512.

F. Ecer, İ. Y. Ögel, H. Dinçer, and S. Yüksel, "Assessment of Metaverse wearable technologies for smart livestock farming through a neuro quantum spherical fuzzy decision-making model," Expert Syst. Appl., vol. 255, p. 124722, 2024. Available: https://doi.org/10.1016/j.eswa.2024.124722.

T. Ahmad, X. J. Li, and B.-C. Seet, "Fuzzy-logic based localization for mobile sensor networks," in Proc. 2019 2nd Int. Conf. Communication, Computing and Digital Systems (CCODE), pp. 43–47, 2019. Available from: https://doi.org/10.1109/C-CODE.2019.8681024

Z. Zheng, Y. Wei, and Y. Yang, "University-1652: A multi-view multi-source benchmark for drone-based geo-localization," in Proc. 28th ACM Int. Conf. Multimedia, pp. 1395–1403, Oct. 2020. Available from: http://dx.doi.org/10.1145/3394171.3413896

V. Delafontaine, F. Schiano, G. Cocco, A. Rusu, and D. Floreano, "Drone-aided localization in LoRa IoT networks," in Proc. 2020 IEEE Int. Conf. Robotics and Automation (ICRA), pp. 286–292, 2020. Available from: https://doi.org/10.1109/ICRA40945.2020.9196869

F. Han, P. Ge, F. Wang, Y. Yang, S. Chen, J. Kang, Y. Ren et al., "Smart contact lenses: From rational design strategies to wearable health monitoring," Chem. Eng. J., vol. 154823, 2024. Available: https://doi.org/10.1016/j.cej.2024.154823

N. L. Kazanskiy, S. N. Khonina, and M. A. Butt, "A review on flexible wearables—Recent developments in non-invasive continuous health monitoring," Sens. Actuators A: Phys., vol. 114993, 2024. Available: https://doi.org/10.1016/j.sna.2023.114993

T. Ahmad, X. J. Li, A. K. Cherukuri, and K. I. Kim, "Hierarchical localization algorithm for sustainable ocean health in large-scale underwater wireless sensor networks," Sustainable Comput.: Informatics Syst., vol. 39, p. 100902, 2023. Available from: http://dx.doi.org/10.1016/j.suscom.2023.100902

M. I. U. Haq, R. A. Khalil, M. Almutiry, A. Sawalmeh, T. Ahmad, and N. Saeed, "Robust graph-based localization for industrial Internet of Things in the presence of flipping ambiguities," CAAI Trans. Intell. Technol., 2023. Available from: http://dx.doi.org/10.1049/cit2.12203

J. Wang, S. Liu, Z. Chen, T. Shen, Y. Wang, R. Yin, H. Liu, C. Liu, and C. Shen, "Ultrasensitive electrospinning fibrous strain sensor with synergistic conductive network for human motion monitoring and human-computer interaction," J. Mater. Sci. Technol., vol. 213, pp. 213–222, 2025. Available: https://doi.org/10.1016/j.jmst.2024.07.003.

N. Pini, W. P. Fifer, J. Oh, C. Nebeker, J. M. Croff, B. A. Smith, and Novel Technology/Wearable Sensors Working Group, "Remote data collection of infant activity and sleep patterns via wearable sensors in the HEALthy Brain and Child Development Study (HBCD)," Dev. Cogn. Neurosci., vol. 69, p. 101446, 2024. Available: https://doi.org/10.1016/j.dcn.2024.101446.

T. Ahmad, X. J. Li, W. Wenchao, and A. Ghaffar, "Frugal sensing: A novel approach of mobile sensor network localization based on fuzzy-logic," in Proc. ACM MobiArch 2020 The 15th Workshop on Mobility in the Evolving Internet Architecture, pp. 8–15, Sep. 2020. Available from: http://dx.doi.org/10.1145/3411043.3412509

G. Sacco, E. Pittella, S. Pisa, and E. Piuzzi, "A MISO radar system for drone localization," in Proc. 2018 5th IEEE Int. Workshop Metrology AeroSpace (MetroAeroSpace), pp. 549–553, 2018. Available from: https://doi.org/10.1109/MetroAeroSpace.2018.8453572

Z. Wang, N. Yi, Z. Zheng, J. Zhou, P. Zhou, C. Zheng, H. Chen, G. Shen, and M. Weng, "Self-powered and degradable humidity sensors based on silk nanofibers and its wearable and human–machine interaction applications," Chem. Eng. J., vol. 497, p. 154443, 2024. Available: https://doi.org/10.1016/j.cej.2024.154443.

X. Wang, H. Ji, L. Gao, R. Hao, Y. Shi, J. Yang, Y. Hao, and J. Chen, "Wearable hydrogel-based health monitoring systems: A new paradigm for health monitoring?," Chem. Eng. J., vol. 495, p. 153382, 2024. Available from https://doi.org/10.1016/j.cej.2024.153382

T. Ahmad, I. Khan, A. Irshad, S. Ahmad, A. T. Soliman, A. A. Gardezi, M. Shafiq, and J.-G. Choi, "Spark spectrum allocation for D2D communication in cellular networks," CMC–Computers, Mater. & Continua, vol. 70, no. 3, pp. 6381–6394, 2022. Available from: http://dx.doi.org/10.32604/cmc.2022.019787

Z. Wang, J. Ji, and H. Jin, "Improvement on APIT localization algorithms for wireless sensor networks," in Proc. 2009 Int. Conf. Networks Security, Wireless Commun. and Trusted Comput., vol. 1, pp. 719–723, 2009. Available from: https://doi.org/10.1109/NSWCTC.2009.370

M. Mansour, M. S. Darweesh, and A. Soltan, "Wearable devices for glucose monitoring: A review of state-of-the-art technologies and emerging trends," Alexandria Eng. J., vol. 89, pp. 224–243, 2024. Available: https://doi.org/10.1016/j.aej.2024.01.021

X. Li, X. He, X. Yang, G. Tian, C. Liu, and T. Xu, "A wearable sensor patch for joule-heating sweating and comfortable biofluid monitoring," Sens. Actuators B: Chem., vol. 419, p. 136399, 2024. Available: https://doi.org/10.1016/j.snb.2024.136399

T. Ahmad, "An improved accelerated frame slotted ALOHA (AFSA) algorithm for tag collision in RFID," arXiv preprint arXiv:1405.6217, 2014. Available from: http://dx.doi.org/10.5121/ijmnct.2012.2401

Y. Wang, X. Wang, D. Wang, and D. P. Agrawal, "Rangefree localization using expected hop progress in wireless sensor networks," IEEE Trans. Parallel Distrib. Syst., vol. 20, no. 10, pp. 1540–1552, 2009. Available from: https://doi.org/10.1109/TPDS.2008.239

M. A. Hasan, T. Ahmad, A. Anwar, S. Siddiq, A. Malik, W. Nazar, and I. Razzaq, "A novel multi-cell interference-aware cooperative QoS-based NOMA group D2D system," Future Internet, vol. 15, no. 4, p. 118, 2023. Available from: http://dx.doi.org/10.3390/fi15040118

Z. Shah, D. M. Khan, Z. Khan, N. Faiz, S. Hussain, A. Anwar, T. Ahmad, and K.-I. Kim, "A new generalized logarithmic–X family of distributions with biomedical data analysis," Appl. Sci., vol. 13, no. 6, p. 3668, 2023. Available from: http://dx.doi.org/10.3390/app13063668

M. Riaz, H. Dilpazir, S. Naseer, H. Mahmood, A. Anwar, J. Khan, I. B. Benitez, and T. Ahmad, "Secure and fast image encryption algorithm based on modified logistic map," Information, vol. 15, no. 3, p. 172, 2024. Available from: http://dx.doi.org/10.3390/info15030172

M. Ashfaq, T. Ahmad, A. Anwar, A. Irshad, I. B. Benitez, and M. Murtaza, "Optimizing message delivery in opportunistic networks with replication-based forwarding," in Proc. 2024 Int. Conf. Engineering & Computing Technologies (ICECT), pp. 1–7, 2024. Available from: https://doi.org/10.1109/ICECT61618.2024.10581130

S. S. Karaman, A. Akarsu, and T. Girici, "Use of particle filtering in RSSI-based localization by drone base stations," in Proc. 2019 Int. Symp. Networks, Computers and Communications (ISNCC), pp. 1–5, 2019. Available from: http://dx.doi.org/10.1109/ISNCC.2019.8909133

Y.-H. Jin, K.-W. Ko, and W.-H. Lee, "An indoor location-based positioning system using stereo vision with the drone camera," Mobile Inf. Syst., vol. 2018, p. 5160543, 2018. Available from: http://dx.doi.org/10.1155/2018/5160543

M. Tanaka, S. Ishii, A. Matsuoka, S. Tanabe, S. Matsunaga, A. Rahmani, N. Dutt, M. Rasouli, and A. Nyamathi, "Perspectives of Japanese elders and their healthcare providers on use of wearable technology to monitor their health at home: A qualitative exploration," Int. J. Nurs. Stud., vol. 152, p. 104691, 2024. Available: https://doi.org/10.1016/j.ijnurstu.2024.104691.

T. Ahmad, X. J. Li, M. Ashfaq, M. Savva, I. Ioannou, and V. Vassiliou, "Location-enabled IoT (LE-IoT): Indoor localization for IoT environments using machine learning," in Proc. 2024 20th Int. Conf. Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT), pp. 392–399, 2024. Available from: http://dx.doi.org/10.1109/DCOSS-IoT61029.2024.00065

B. Khan, Z. Riaz, and B. L. Khoo, "Advancements in wearable sensors for cardiovascular disease detection for health monitoring," Mater. Sci. Eng. R Rep., vol. 159, p. 100804, 2024. Available: https://doi.org/10.1016/j.mser.2024.100804.

X. Peng, Z. Dai, Q. Zhang, S. Gao, and N. Li, "Intelligent microsphere-gel structures: Pioneering multi-range temperature sensing technology," Appl. Mater. Today, vol. 38, p. 102244, 2024. Available: https://doi.org/10.1016/j.nanoen.2024.109527

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2024-11-25

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[1]
Siti Nur, “The Role of Digital Health Technologies and Sensors in Revolutionizing Wearable Health Monitoring Systems”, IJIRCST, vol. 12, no. 6, pp. 69–80, Nov. 2024.

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