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Advances in Intelligent Systems and Technologies

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1st International Conference on Emerging Trends in Mechanical Sciences for Sustainable Technologies

Shortwave Based Electrocardiogram Cognizanze System

Hariharan R, Arunkumar M, Ramprakash R, Hemananth, Sheikameer Batcha S and Mohan raj, Department of Electrical and Electronics Engineering, Sri Eshwar college of Engineering, Coimbatore, India.


Online First : 18 August 2023
Publisher Name : AnaPub Publications, Kenya.
ISSN (Online) : 2959-3042
ISSN (Print) : 2959-3034
ISBN (Online) : 978-9914-9946-4-3
ISBN (Print) : 978-9914-9946-5-0
Pages : 067-072

Abstract


Portable electrocardiogram (ECG) video display units are wanted for aged and far-flung sufferers who cannot go to the medical institution frequently. The answer connects sufferers and docs thru a cloud IoT server that gives all of the records had to discover coronary heart disease. Using an Electrocardiogram monitoring apparatus and the MQTT protocol, the patient collects and uploads data about their current health status toward the server. The Internet of things The functionality of a cloud server additional examination that benefits both the patient and the doctor. The proposed system also includes an warning system for alerts users when a predetermined limit is breached. Real-time data collected by the monitoring system, as well as Physio-Net Electrocardiogram-ID benchmark data as well as an Electrocardiogram machine The system structure consists of input, an embedded device, a cloud server for stuff on the internet and an interface. This article includes two experiments That take each Varieties of incoming information. Results suggest that the proposed system provides dependable and trustworthy results, which may reduce the number of hospital visits required. A comparison is made between the proposed system and a number of previously mentioned methods in the literature. Finally, the intended system is put into action to demonstrate how it works.

Keywords


Electrocardiogram, Internet of Things, Trustworthy, Frameworks.

  1. CardiovascularDiseases (CVDs), World Health Org., Geneva, Switzerland, 2018.
  2. A. M. Khairuddin, K. N. F. Ku Azir, and P. Eh Kan, “Design and Development of Intelligent Electrodes for Future Digital Health Monitoring: A Review,” IOP Conference Series: Materials Science and Engineering, vol. 318, p. 012073, Mar. 2018, doi: 10.1088/1757-899x/318/1/012073.
  3. G. Andreoni, P. Perego, and C. Standoli, “Wearable monitoring of elderly in an ecologic setting: the SMARTA project,” Proceedings of 2nd International Electronic Conference on Sensors and Applications, Nov. 2015, doi: 10.3390/ecsa-2-s3001.
  4. U. Satija, B. Ramkumar, and M. Sabarimalai Manikandan, “Real-Time Signal Quality-Aware ECG Telemetry System for IoT-Based Health Care Monitoring,” IEEE Internet of Things Journal, vol. 4, no. 3, pp. 815–823, Jun. 2017, doi: 10.1109/jiot.2017.2670022.
  5. T. Liang and Y. Yuan, “Wearable medical monitoring systems based on wireless networks: A Review,” IEEE Sensors Journal, pp. 1–1, 2016, doi: 10.1109/jsen.2016.2597312.
  6. J. B. Wang et al., “Wearable Sensor/Device (Fitbit One) and SMS Text-Messaging Prompts to Increase Physical Activity in Overweight and Obese Adults: A Randomized Controlled Trial,” Telemedicine and e-Health, vol. 21, no. 10, pp. 782–792, Oct. 2015, doi: 10.1089/tmj.2014.0176.
  7. Y. Hao and R. Foster, “Wireless body sensor networks for health-monitoring applications,” Physiological Measurement, vol. 29, no. 11, pp. R27–R56, Oct. 2008, doi: 10.1088/0967-3334/29/11/r01.
  8. A. Gruetzmann, S. Hansen, and J. Müller, “Novel dry electrodes for ECG monitoring,” Physiological Measurement, vol. 28, no. 11, pp. 1375–1390, Oct. 2007, doi: 10.1088/0967-3334/28/11/005.
  9. W. Li, O. Auciello, R. N. Premnath, and B. Kabius, “Giant dielectric constant dominated by Maxwell–Wagner relaxation in Al2O3/TiO2 nanolaminates synthesized by atomic layer deposition,” Applied Physics Letters, vol. 96, no. 16, Apr. 2010, doi: 10.1063/1.3413961.
  10. J. J. Oresko et al., “A Wearable Smartphone-Based Platform for Real-Time Cardiovascular Disease Detection Via Electrocardiogram Processing,” IEEE Transactions on Information Technology in Biomedicine, vol. 14, no. 3, pp. 734–740, May 2010, doi: 10.1109/titb.2010.2047865.
  11. T. Lili and H. Wei, “Portable ECG Monitoring System Design,” 2019 3rd International Conference on Electronic Information Technology and Computer Engineering (EITCE), Oct. 2019, doi: 10.1109/eitce47263.2019.9095135.
  12. A. Roy et al., “A 6.45 uW Self-Powered SoC With Integrated Energy-Harvesting Power Management and ULP Asymmetric Radios for Portable Biomedical Systems,” IEEE Transactions on Biomedical Circuits and Systems, vol. 9, no. 6, pp. 862–874, Dec. 2015, doi: 10.1109/tbcas.2015.2498643.
  13. M. Konijnenburg et al., “Reliable and energy-efficient 1MHz 0.4V dynamically reconfigurable SoC for ExG applications in 40nm LP CMOS,” 2013 IEEE International Solid-State Circuits Conference Digest of Technical Papers, Feb. 2013, doi: 10.1109/isscc.2013.6487801.
  14. J. Jenitta and A. Rajeswari, “Denoising of ECG signal based on improved adaptive filter with EMD and EEMD,” 2013 IEEE CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGIES, Apr. 2013, doi: 10.1109/cict.2013.6558234.
  15. X. Li and Y. Sun, “NCMB-Button: A Wearable Non-contact System for Long-Term Multiple Biopotential Monitoring,” 2017 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), Jul. 2017, doi: 10.1109/chase.2017.118.
  16. H. Ozkan, O. Ozhan, Y. Karadana, M. Gulcu, S. Macit, and F. Husain, “A Portable Wearable Tele-ECG Monitoring System,” IEEE Transactions on Instrumentation and Measurement, vol. 69, no. 1, pp. 173–182, Jan. 2020, doi: 10.1109/tim.2019.2895484.
  17. A. Gruetzmann, S. Hansen, and J. Müller, “Novel dry electrodes for ECG monitoring,” Physiological Measurement, vol. 28, no. 11, pp. 1375–1390, Oct. 2007, doi: 10.1088/0967-3334/28/11/005.
  18. Y.-H. Chen et al., “Soft, Comfortable Polymer Dry Electrodes for high Quality ECG and EEG Recording,” Proceedings of International Electronic Conference on Sensors and Applications, Jun. 2014, doi: 10.3390/ecsa-1-g014.
  19. P. Salvo, R. Raedt, E. Carrette, D. Schaubroeck, J. Vanfleteren, and L. Cardon, “A 3D printed dry electrode for ECG/EEG recording,” Sensors and Actuators A: Physical, vol. 174, pp. 96–102, Feb. 2012, doi: 10.1016/j.sna.2011.12.017.
  20. M. Shahidul Islam, M. T. Islam, A. F. Almutairi, G. K. Beng, N. Misran, and N. Amin, “Monitoring of the Human Body Signal through the Internet of Things (IoT) Based LoRa Wireless Network System,” Applied Sciences, vol. 9, no. 9, p. 1884, May 2019, doi: 10.3390/app9091884.
  21. A. Aboalseoud et al., “Wireless ECG Monitoring System for Telemedicine Application,” 2019 Ninth International Conference on Intelligent Computing and Information Systems (ICICIS), Dec. 2019, doi: 10.1109/icicis46948.2019.9014845.
  22. A. M. Khairuddin, K. N. F. Ku Azir, and P. E. Kan, “Limitations and future of electrocardiography devices: A review and the perspective from the Internet of Things,” 2017 International Conference on Research and Innovation in Information Systems (ICRIIS), Jul. 2017, doi: 10.1109/icriis.2017.8002506.
  23. R. B. Chukka and C. S. Kumar, ‘‘A novel architecture for the realisation of IoT-enabled ECG signal quality assessment using wavelet decomposition for baseline wander removal,’’ Sci. Technol. Res. Inst. Defence, vol. 181, p. 192, Nov. 2018.
  24. P. P. Ray, ‘‘Internet of Things based physical activity monitoring (PAMIoT): An architectural framework to monitor human physical activity,’’ in Proc. IEEE CALCON, Kolkata, India, pp. 32–34, Nov. 2014.
  25. M. Neyja, S. Mumtaz, K. M. S. Huq, S. A. Busari, J. Rodriguez, and Z. Zhou, “An IoT-Based E-Health Monitoring System Using ECG Signal,” GLOBECOM 2017 - 2017 IEEE Global Communications Conference, Dec. 2017, doi: 10.1109/glocom.2017.8255023.
  26. G. Xu, “IoT-Assisted ECG Monitoring Framework With Secure Data Transmission for Health Care Applications,” IEEE Access, vol. 8, pp. 74586–74594, 2020, doi: 10.1109/access.2020.2988059.
  27. Y. Gao et al., “Heart Monitor Using Flexible Capacitive ECG Electrodes,” IEEE Transactions on Instrumentation and Measurement, vol. 69, no. 7, pp. 4314–4323, Jul. 2020, doi: 10.1109/tim.2019.2949320.
  28. J. Richards, M. Lim, G. Li, E. Araya, and Y. Jia, “Continuous ECG Monitoring with Low-Power Electronics and Energy Harvesting,” 2020 IEEE 63rd International Midwest Symposium on Circuits and Systems (MWSCAS), Aug. 2020, doi: 10.1109/mwscas48704.2020.9184610.
  29. T. Shaown, I. Hasan, Md. M. R. Mim, and Md. S. Hossain, “IoT-based Portable ECG Monitoring System for Smart Healthcare,” 2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT), May 2019, doi: 10.1109/icasert.2019.8934622.

Cite this article


Hariharan R, Arunkumar M, Ramprakash R, Hemananth, Sheikameer Batcha S and Mohan raj, “Shortwave Based Electrocardiogram Cognizanze System”, Advances in Intelligent Systems and Technologies, pp. 067-072, August. 2023. doi:10.53759/aist/978-9914-9946-4-3_11

Copyright


© 2023 Hariharan R, Arunkumar M, Ramprakash R, Hemananth, Sheikameer Batcha S and Mohan raj. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.