Review on Wearable Sensors of the Medical System

Authors

  • Sahira Mahdi Alnidawi Department of Computer Engineering, College of Engineering, Al-Iraqia University, Baghdad, Iraq
  • Malik A. Alsaedi Department of Electrical Engineering, College of Engineering, Al-Iraqia University, Baghdad, Iraq

DOI:

https://doi.org/10.58564/IJSER.2.1.2023.55

Keywords:

Wearable sensors, Healthcare, Medical system

Abstract

 A framework known as "smart healthcare" makes use of technologies like wearable's, and the Internet of Medical Things (IoT), In order to intelligently manage and respond to the needs of the health environment, we need to combine data, machine learning algorithms, wireless communication technology, and the Internet of Things (IoT) to link people, resources, and organizations; make health records easily accessible; and share the data widely. Medical sensors, or IoT, are one of the key components of smart healthcare. Due to the complexity of illnesses, Disease diagnosis often necessitates the use of multiple types of medical signals. The most crucial concern when employing multimodal signals is how to fuse them, which is a topic of growing interest among researchers. The newest generation of personal portable gadgets for telemedicine practice is wearable health monitoring systems. However, due to the inapplicability of the building process used for standard semiconductor equipment, wearable healthcare equipment research and commercialization are currently progressing at a very sluggish rate. Despite these obstacles, developments in materials flag, chemical analysis techniques, apparatus, and manufacturing processes created a groundwork for whole new wearable technology, which has continued to evolve.

References

Liu, Z., Cao, Y., Cui, L., Song, J., & Zhao, G. (2018). A Benchmark Database and Baseline Evaluation for Fall Detection Based on Wearable Sensors for the Internet of Medical Things Platform. IEEE Access DOI: https://doi.org/10.1109/ACCESS.2018.2869833

Ferdawss Douma and Rafik Braham, (2019). Body Area Networks MAC Protocols for Healthcare: Performance Evaluation. IEEE DOI: https://doi.org/10.1109/IWCMC.2019.8766549

Gupta, R., & Biswas, S. (2020). Priority based IEEE 802.15.4 MAC by varying GTS to satisfy heterogeneous traffic in healthcare application. Wireless Networks DOI: https://doi.org/10.1007/s11276-019-02149-6

Uddin, M. Z. (2019). A wearable sensor-based activity prediction system to facilitate edge computing in smart healthcare system. Journal of Parallel and Distributed Computing DOI: https://doi.org/10.1016/j.jpdc.2018.08.010

Mahmud, M. S., Fang, H., & Wang, H. (2019). An Integrated Wearable Sensor for Unobtrusive Continuous Measurement of Autonomic Nervous System. IEEE Internet of Things Journal DOI: https://doi.org/10.1109/JIOT.2018.2868235

Jiang, Y. (2020). Combination of wearable sensors and internet of things and its application in sports rehabilitation. Computer Communications DOI: https://doi.org/10.1016/j.comcom.2019.11.021

Li, S., Zhang, B., Fei, P., Shakeel, P. M., & Samuel, R. D. J. (2020). Computational efficient wearable sensor network health monitoring system for sports athletics using IoT. In Aggression and Violent Behavior. Elsevier Ltd. DOI: https://doi.org/10.1016/j.avb.2020.101541

Liu, X., Wang, Q., Liu, D., Wang, Y., Zhang, Y., Bai, O., & Sun, J. (2018). Human emotion classification based on multiple physiological signals by wearable system. Technology and Health Care DOI: https://doi.org/10.3233/THC-174747

Gochoo, M., Tan, T. H., Liu, S. H., Jean, F. R., Alnajjar, F. S., & Huang, S. C. (2019). Unobtrusive Activity Recognition of Elderly People Living Alone Using Anonymous Binary Sensors and DCNN. IEEE Journal of Biomedical and Health Informatics DOI: https://doi.org/10.1109/JBHI.2018.2833618

Yacchirema, D., de Puga, J. S., Palau, C., & Esteve, M. (2018). Fall detection system for elderly people using IoT and Big Data. Procedia Computer Science DOI: https://doi.org/10.1016/j.procs.2018.04.110

Guo, M., & Wang, Z. (2018). Segmentation and recognition of human motion sequences using wearable inertial sensors. Multimedia Tools and Applications DOI: https://doi.org/10.1007/s11042-017-5573-1

Kos, A., & Umek, A. (2019). Wearable sensor devices for prevention and rehabilitation in healthcare: Swimming exercise with real-time therapist feedback. IEEE Internet of Things Journal DOI: https://doi.org/10.1109/JIOT.2018.2850664

Domingues, M. D. F., Rosa, V., Nepomuceno, A. C., Tavares, C., Alberto, N., Andre, P., Radwan, A., & da Costa Antunes, P. F. (2020). Wearable Devices for Remote Physical Rehabilitation Using a Fabry-Perot Optical Fiber Sensor: Ankle Joint Kinematic. IEEE Access DOI: https://doi.org/10.1109/ACCESS.2020.3001091

Hee-Tae Jung, Joonwoo Park, Jugyeong Jeong, Taekyeong Ryu, Yangsoo Kim, and Sunghoon I. Lee1, (2018). A Wearable Monitoring System for At-Home Stroke Rehabilitation Exercises: A reliminary Study.IEEE EMBS International Conference on Biomedical & Health Informatics (BHI) DOI: https://doi.org/10.1109/BHI.2018.8333358

Fakhrulddin, S. S., Gharghan, S. K., & Zubaidi, S. L. (2020). Accurate Fall Localization for Patient based on GPS and Accelerometer Sensor in Outside the House. Proceedings - International Conference on Developments in ESystems Engineering, DeSE, 2020-December DOI: https://doi.org/10.1109/DeSE51703.2020.9450240

Mahmoud Al Ahmad, Soha Ahmed, (2018). Piezologist: A Novel Wearable Piezoelectric-based Cardiorespiratory Monitoring System.IEEE DOI: https://doi.org/10.1109/INISTA.2018.8466275

Gunjanbhai Patel, Rajdeep Ojha, and S. Sujatha, (2018). Ambulatory Measurement and Estimation of Joint Angle Kinematics in Sagittal Plane Using Body Worn Sensors for Gait Analysis. IEEE Access DOI: https://doi.org/10.1109/WiSPNET.2018.8538548

Xia, Y., Zhang, H., Xu, L., Gao, Z., Zhang, H., Liu, H., & Li, S. (2018). An Automatic Cardiac Arrhythmia Classification System with Wearable Electrocardiogram. IEEE Access DOI: https://doi.org/10.1109/ACCESS.2018.2807700

Zhang, Q., Zhang, N., Kang, L., Hu, G., Yan, X., Ding, X., Fu, Q., Zhang, Y. T., Zhao, N., Gao, J., & Strangman, G. E. (2019). Technology Development for Simultaneous Wearable Monitoring of Cerebral Hemodynamics and Blood Pressure. IEEE Journal of Biomedical and Health Informatics DOI: https://doi.org/10.1109/JBHI.2018.2876087

Simons, A., Doyle, T., Musson, D., & Reilly, J. (2020). Impact of Physiological Sensor Variance on Machine Learning Algorithms. Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, 2020-October DOI: https://doi.org/10.1109/SMC42975.2020.9282912

Liu, J., Chen, Y., Zhou, Y., Wu, Q., Qiao, T., & Sun, B. (n.d.), (2018). Survey of Wearable EEG and ECG Acquisition Technologies for Body Area Network.IEEE Access DOI: https://doi.org/10.1109/IECON.2018.8591077

Muhammad, G., Alshehri, F., Karray, F., Saddik, A. el, Alsulaiman, M., & Falk, T. H. (2021). A comprehensive survey on multimodal medical signals fusion for smart healthcare systems. In Information Fusion (Vol. 76, pp. 355–375). Elsevier B.V. DOI: https://doi.org/10.1016/j.inffus.2021.06.007

Lou, Z., Wang, L., Jiang, K., Wei, Z., & Shen, G. (2020). Reviews of wearable healthcare systems: Materials, devices and system integration. DOI: https://doi.org/10.1016/j.mser.2019.100523

Khan, S., Ali, S., & Bermak, A. (2019). Recent developments in printing flexible and wearable sensing electronics for healthcare applications. In Sensors (Switzerland) (Vol. 19, Issue 5). MDPI AG. DOI: https://doi.org/10.3390/s19051230

Bag, A., & Lee, N. E. (2021). Recent Advancements in Development of Wearable Gas Sensors. In Advanced Materials Technologies (Vol. 6, Issue 3). John Wiley and Sons Inc. DOI: https://doi.org/10.1002/admt.202000883

Downloads

Published

2023-03-01

How to Cite

Mahdi Alnidawi , S., & A. Alsaedi , M. (2023). Review on Wearable Sensors of the Medical System . Al-Iraqia Journal for Scientific Engineering Research, 2(1), 1–8. https://doi.org/10.58564/IJSER.2.1.2023.55

Issue

Section

Articles

Deprecated: json_decode(): Passing null to parameter #1 ($json) of type string is deprecated in /var/www/vhosts/ijser.aliraqia.edu.iq/httpdocs/plugins/generic/citations/CitationsPlugin.inc.php on line 49