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Research Article
Non-Invasive Glucose, Pulse, SPO2 and Temperature Monitoring using Bluetooth with Critical Response
Anis Karthi1
Bande Reshwanth2
Naveen Vempadapu3
123 Electronics and Communication Engineering, SRM Institute of Science and Technology, Tamilnadu, India.
Published Online: March-April 2023
Pages: 643-648
Cite this article
No DOIReferences
1. liu tang, shwu jeng chang, ching jun Chen, Jen tsai liu "A non-invasive monitoring system that uses Bluetooth technology,". 2020 Dec;
20(23): 6925. Published online 2020 Dec 4.
2. Raju podar, Joseph andrews, pratyush suklah, pratima sen "Non-Invasive Glucose Monitoring Techniques: A review and current
trends," 2008 oct;18(73):745.
3. zhanxiao geng, fei tang, xiahoa Wang "Noninvasive Continuous Glucose Monitoring Using a Multisensor-Based Glucometer and Time
Series Analysis," 2017 October Scientific Reports volume 7, Article number: 12650.
4. Maria valero, Priyanka pola, oluwaseyi falaiye, Kathrine h Ingram, liang zao, Hossain shahriar "Development of a Noninvasive Blood
Glucose Monitoring System Prototype: Pilot Study,"26.8.2022 in Vol 6 , No 8 (2022) :August.
5. Hui Zheng, jing he, peng li, mengijao guo, Hui Jin, jie shen, chihung chi "Glucose Screening Measurements and Noninvasive Glucose
Monitor Methods," 18 October 2018, Version of Record 18 October 2018.
6. Emil skultety, Elena pivarclova, ladislav karrach, "The Comparing of the Selected Temperature Sensors Compatible with the Arduino
Platform," 2018 September DOI:10.1515/mspe-2018-0027 LicenseCC BY-NC-ND 4.0.
7. Ruping liu, liang he, meijuan cao, zicheng sun "Flexible Temperature Sensors," Front. Chem., 22 September 2021 Sec. Nanoscience
Volume 9 - 2021.
8. Gerard C.M. Meijer, Guijie Wang, Ali Heidary, Smart temperature sensors and temperature sensor systems, 2018.
9. Nabel salih Ali, zaid abri alkareem, Abdul Hussain abdulmohson "Real-Time Heart Pulse Monitoring Technique Using Wireless Sensor
Network and Mobile Application," 2018 dec DOI:10.11591/ijece.v8i6.pp5118-5126 LicenseCC BY-NC 4.0.
10. S.M. Sabeer ahamed, Md. Ashiqur Rahman emu, wardah Saleh "Heartbeat Sensor System for Remote Health Monitoring,"2021 Jan
DOI:10.5120/ijca2021921036
11. (Mar. 2017). Cisco Visual Networking Index (VNI): Global Mobile Data Traffic Forecast Update, 2016–2021 White Paper. Accessed:
Dec. 19, 2017. [Online]. Available: https://www.cisco.com/c/ en/us/solutions/service-provider/visualnetworking-index-vni/index.html
12. A.Charland and B. Leroux, “Mobile application development: Web vs. native,” Commun. ACM, vol. 54, no. 5, pp. 49–53, May 2011.
13. J. G. Andrews et al., “What will 5G be?” IEEE J. Sel. Areas Commun., vol. 32, no. 6, pp. 1065–1082, Jun. 2014.
14. A.Reznik et al., “Developing software for multi-access edge computing,” ETSI, Sophia Antipolis, France, White Paper 20, 2017.
15. Y. C. Hu, M. Patel, D. Sabella, N. Sprecher, and V. Young, “Mobile edge computing—A key technology towards 5G,” ETSI, Sophia
Antipolis, France, White Paper 11, 2015, p. 1–16.
16. P. Belimpasakis, P. Selonen, and Y. You, “Bringing user-generated content from Internet services to mobile augmented reality clients,”in Proc. IEEE Cloud-Mobile Converg. Virtual Reality Workshop (CMCVR), Mar. 2010, pp. 14–17.
17. Z. Sun, A. Purohit, S. Pan, F. Mokaya, R. Bose, and P. Zhang, “Polaris: Getting accurate indoor orientations for mobile devices using
ubiquitous visual patterns on ceilings,” in Proc. 12th Workshop Mobile Comput. Syst. Appl., 2012, p. 14.
18. R. Wang, F. Zhao, H. Luo, B. Lu, and T. Lu, “Fusion of Wi-Fi and Bluetooth for indoor localization,” in Proc. 1st Int. Workshop Mobile
Location-Based Service, 2011, pp. 63–66.
19. D. Schmalstieg et al., “Managing complex augmented reality models,” IEEE Comput. Graph. Appl., vol. 28, no. 4, pp. 48–57, Jun.
2007.
20. A.D. Cheok et al., “Human pacman: A mobile entertainment system with ubiquitous computing and tangible interaction over a wide
outdoor area,” in Proc. Int. Conf. Mobile Hum.-Comput. Interact. Springer, 2003, pp. 209–223.
20(23): 6925. Published online 2020 Dec 4.
2. Raju podar, Joseph andrews, pratyush suklah, pratima sen "Non-Invasive Glucose Monitoring Techniques: A review and current
trends," 2008 oct;18(73):745.
3. zhanxiao geng, fei tang, xiahoa Wang "Noninvasive Continuous Glucose Monitoring Using a Multisensor-Based Glucometer and Time
Series Analysis," 2017 October Scientific Reports volume 7, Article number: 12650.
4. Maria valero, Priyanka pola, oluwaseyi falaiye, Kathrine h Ingram, liang zao, Hossain shahriar "Development of a Noninvasive Blood
Glucose Monitoring System Prototype: Pilot Study,"26.8.2022 in Vol 6 , No 8 (2022) :August.
5. Hui Zheng, jing he, peng li, mengijao guo, Hui Jin, jie shen, chihung chi "Glucose Screening Measurements and Noninvasive Glucose
Monitor Methods," 18 October 2018, Version of Record 18 October 2018.
6. Emil skultety, Elena pivarclova, ladislav karrach, "The Comparing of the Selected Temperature Sensors Compatible with the Arduino
Platform," 2018 September DOI:10.1515/mspe-2018-0027 LicenseCC BY-NC-ND 4.0.
7. Ruping liu, liang he, meijuan cao, zicheng sun "Flexible Temperature Sensors," Front. Chem., 22 September 2021 Sec. Nanoscience
Volume 9 - 2021.
8. Gerard C.M. Meijer, Guijie Wang, Ali Heidary, Smart temperature sensors and temperature sensor systems, 2018.
9. Nabel salih Ali, zaid abri alkareem, Abdul Hussain abdulmohson "Real-Time Heart Pulse Monitoring Technique Using Wireless Sensor
Network and Mobile Application," 2018 dec DOI:10.11591/ijece.v8i6.pp5118-5126 LicenseCC BY-NC 4.0.
10. S.M. Sabeer ahamed, Md. Ashiqur Rahman emu, wardah Saleh "Heartbeat Sensor System for Remote Health Monitoring,"2021 Jan
DOI:10.5120/ijca2021921036
11. (Mar. 2017). Cisco Visual Networking Index (VNI): Global Mobile Data Traffic Forecast Update, 2016–2021 White Paper. Accessed:
Dec. 19, 2017. [Online]. Available: https://www.cisco.com/c/ en/us/solutions/service-provider/visualnetworking-index-vni/index.html
12. A.Charland and B. Leroux, “Mobile application development: Web vs. native,” Commun. ACM, vol. 54, no. 5, pp. 49–53, May 2011.
13. J. G. Andrews et al., “What will 5G be?” IEEE J. Sel. Areas Commun., vol. 32, no. 6, pp. 1065–1082, Jun. 2014.
14. A.Reznik et al., “Developing software for multi-access edge computing,” ETSI, Sophia Antipolis, France, White Paper 20, 2017.
15. Y. C. Hu, M. Patel, D. Sabella, N. Sprecher, and V. Young, “Mobile edge computing—A key technology towards 5G,” ETSI, Sophia
Antipolis, France, White Paper 11, 2015, p. 1–16.
16. P. Belimpasakis, P. Selonen, and Y. You, “Bringing user-generated content from Internet services to mobile augmented reality clients,”in Proc. IEEE Cloud-Mobile Converg. Virtual Reality Workshop (CMCVR), Mar. 2010, pp. 14–17.
17. Z. Sun, A. Purohit, S. Pan, F. Mokaya, R. Bose, and P. Zhang, “Polaris: Getting accurate indoor orientations for mobile devices using
ubiquitous visual patterns on ceilings,” in Proc. 12th Workshop Mobile Comput. Syst. Appl., 2012, p. 14.
18. R. Wang, F. Zhao, H. Luo, B. Lu, and T. Lu, “Fusion of Wi-Fi and Bluetooth for indoor localization,” in Proc. 1st Int. Workshop Mobile
Location-Based Service, 2011, pp. 63–66.
19. D. Schmalstieg et al., “Managing complex augmented reality models,” IEEE Comput. Graph. Appl., vol. 28, no. 4, pp. 48–57, Jun.
2007.
20. A.D. Cheok et al., “Human pacman: A mobile entertainment system with ubiquitous computing and tangible interaction over a wide
outdoor area,” in Proc. Int. Conf. Mobile Hum.-Comput. Interact. Springer, 2003, pp. 209–223.
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