Design of telemedicine information query system based on wireless sensor network

Qian Gao; Thippa Reddy Gadekallu

doi:10.4108/eetpht.v8i4.674

Authors

Qian Gao Henan Police College, China
Thippa Reddy Gadekallu Vellore Institute of Technology University

DOI:

https://doi.org/10.4108/eetpht.v8i4.674

Keywords:

Wireless sensor network, Telemedicine, Information Service, Information self integration

Abstract

INTRODUCTION: A wireless sensor network-based remote medical information query system is proposed and designed.

OBJECTIVE: The proposed method aims at improving the throughput of the hospital information remote query system and reducing the response time

METHODS: The system structure is divided into three levels. The presentation layer is responsible for displaying the query operation interface of the function layer. The function layer realizes the query function according to the user instructions. The wireless sensor network is responsible for the transmission of instructions. The data layer starts the query of telemedicine information based on the Top-k query algorithm. In wireless sensor networks, the improved ant colony algorithm is used to optimize it, which improves the information transmission performance of the system.

RESULTS: The experimental results show that the designed system can complete the medical information query according to the needs of users, the system throughput and the residual energy of sink nodes are high, and the maximum response time of the system is always less than 0.5s.

CONCLUSION: It shows that the designed system has strong practical application performance and high application value.

Downloads

Download data is not yet available.

References

Sun R , Blayney D W , Tina H B . (2021). Health management via telemedicine: Learning from the COVID-19 experience[J]. Journal of the American Medical Informatics Association, 28(22):2536-2540. DOI: https://doi.org/10.1093/jamia/ocab145

Vilendrer S , Patel B , Chadwick W , Hwa . (2020). Corrigendum to: Rapid Deployment of Inpatient Telemedicine In Response to COVID-19 Across Three Health Systems[J]. Journal of the American Medical Informatics Association, 27(11):1830-1830. DOI: https://doi.org/10.1093/jamia/ocaa182

Iott B , Raj M , Platt J E , Anthony DL . (2020). Family Caregiver Access of Online Medical Records: Findings from the Health Information National Trends Survey[J]. Journal of General Internal Medicine, 36(3):3267-3269. DOI: https://doi.org/10.1007/s11606-020-06350-8

Anselma L , Piovesan L , Stantic B , Terenziani P . (2018). Representing and querying now-relative relational medical data[J]. Artificial Intelligence in Medicine, 86(15):33-52. DOI: https://doi.org/10.1016/j.artmed.2018.01.004

Matsuo R , Yamazaki T , Araki K . (2021). Development of a General Statistical Analytical System Using Nationally Standardized Medical Information[J]. Journal of Medical Systems, 45(6):1-10. DOI: https://doi.org/10.1007/s10916-021-01742-7

Singhal Shikha, Hegde Bharat, Karmalkar Prathamesh, Muhith Justna, Gurulingappa Harsha. (2021). Weakly Supervised Learning for Categorization of Medical Inquiries for Customer Service Effectiveness[J]. Frontiers in Research Metrics and Analytics, 6(1):97-107. DOI: https://doi.org/10.3389/frma.2021.683400

Masaharu Nakayama, Kazuya Takehana, Takahide Kohro, Tetsuya Matoba, Hiroyuki Tsutsui, Ryozo Nagai. (2020). Standard Export Data Format for Extension Storage of Standardized Structured Medical Information Exchange:Medical Engineering[J]. Circulation Reports, 2(10):138-139. DOI: https://doi.org/10.1253/circrep.CR-20-0077

Huang Zhenjie, Guo Yafeng, Huang Hui, Duan Runlong, Zhao Xiaolong, G Thippa Reddy. (2022). Analysis and Improvement of Blockchain-Based Multilevel Privacy-Preserving Location Sharing Scheme for Telecare Medical Information Systems[J]. Security and Communication Networks, 17(1):14-16. DOI: https://doi.org/10.1155/2022/1926902

EL Azzaoui Abir, Chen Haotian, Kim So Hyeon, Pan Yi, Park Jong Hyuk. (2022). Blockchain-Based Distributed Information Hiding Framework for Data Privacy Preserving in Medical Supply Chain Systems[J]. Sensors, 22(4):1371-1377. DOI: https://doi.org/10.3390/s22041371

Kim Tong Min, Ko Taehoon, Yang Yoonsik, Park Sang Jun, Choi InYoung, Chang DongJin. (2021). Establishment of the Optimal Common Data Model Environment for EMR Data Considering the Computing Resources of Medical Institutions[J]. Applied Sciences, 11(24):12056-12063. DOI: https://doi.org/10.3390/app112412056

Milenkovic A , D Jankovic, Rajkovic P . (2020). Extensions and Adaptations of Existing Medical Information System in Order to Reduce Social Contacts During COVID-19 Pandemic[J]. International Journal of Medical Informatics, 141(23):104-112. DOI: https://doi.org/10.1016/j.ijmedinf.2020.104224

Safaei A A . (2021). Text-based multi-dimensional medical images retrieval according to the features-usage correlation[J]. Medical & Biological Engineering & Computing, 13(10):18674-18682. DOI: https://doi.org/10.1007/s11517-021-02392-0

Twomey Michael, Sammon David, Nagle Tadhg. (2021). The Role of Information Retrieval in the Diagnostic/Decision making Process within the Medical Appointment: A Review of the Literature[J]. Journal of Decision Systems, 30(4):378-409. DOI: https://doi.org/10.1080/12460125.2021.1901334

Huang J H, Sun M G, Cheng Q. (2021). Congestion Risk Propagation Model Based on Multi-Layer Time-Varying Network[J]. International Journal of Simulation Modeling, 20(4):730-741. DOI: https://doi.org/10.2507/IJSIMM20-4-585

Shuai L, Xiyu X, Yang Z, et al. (2022) A Reliable Sample Selection Strategy for Weakly-supervised Visual Tracking, IEEE Transactions on Reliability, online first, 10.1109/TR.2022.3162346

Luo Qinghua, Liu Chao, Yan Xiaozhen, Shao Yang, Yang Kexin, Wang Chenxu, Zhou Zhiquan. (2022). A Distributed Localization Method for Wireless Sensor Networks Based on Anchor Node Optimal Selection and Particle Filter[J]. Sensors, 22(3):1003-1009. DOI: https://doi.org/10.3390/s22031003

Roy, A. K., Nath, K., Srivastava, G., Gadekallu, T. R., & Lin, J. C. W. (2022). Privacy Preserving Multi-Party Key Exchange Protocol for Wireless Mesh Networks. Sensors, 22(5), 1958. DOI: https://doi.org/10.3390/s22051958

Majid, M., Habib, S., Javed, A. R., Rizwan, M., Srivastava, G., Gadekallu, T. R., & Lin, J. C. W. (2022). Applications of Wireless Sensor Networks and Internet of Things Frameworks in the Industry Revolution 4.0: A Systematic Literature Review. Sensors, 22(6), 2087. DOI: https://doi.org/10.3390/s22062087

Wang, W., Qiu, C., Yin, Z., Srivastava, G., Gadekallu, T. R., Alsolami, F., & Su, C. (2021). Blockchain and PUF-based lightweight authentication protocol for wireless medical sensor networks. IEEE Internet of Things Journal. DOI: https://doi.org/10.1109/JIOT.2021.3117762

Liu S, Liu D, Srivastava S, et al (2021). Overview and methods of correlation filter algorithms in object tracking. Complex & Intelligent Systems, 7: 1895-1917. DOI: https://doi.org/10.1007/s40747-020-00161-4

Praveen K , Tarachand A , Sekhar C . Machine learning algorithms for wireless sensor networks: A survey[J]. Information Fusion, 2019, 49(15):1-25. DOI: https://doi.org/10.1016/j.inffus.2018.09.013

Hasan Mohammad K, Ghazal Taher M., Alkhalifah A, Abu Bakar Khairul A, Omidvar A, Nafi Nazmus S., Agbinya Johnson I.. Fischer Linear Discrimination and Quadratic Discrimination Analysis–Based Data Mining Technique for Internet of Things Framework for Healthcare[J]. Frontiers in Public Health, 2021, 9(2):737-745. DOI: https://doi.org/10.3389/fpubh.2021.737149

Wei W, Shuai L, Wenjia L, Mohammed A, Shancang L, Dingzhu D. Fractal Intelligent Privacy Protection in Online Social Network Using Attribute-Based Encryption Schemes, IEEE Transactions on Computational Social Systems, 2018, 5(3), 736-747 DOI: https://doi.org/10.1109/TCSS.2018.2855047