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Heart Device for Expectation of Coronary Illness Utilizing Internet of Things

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High Performance Computing, Smart Devices and Networks (CHSN 2022)

Abstract

As of late, there has been a quick development of medical care administrations for giving remote correspondence media among specialist and patient through wearable innovations, which is alluded to as “telemedicine.” The reason for the curio is to offer continuous checking of constant circumstances like cardiovascular breakdown, asthma, hypotension, hypertension, and so on that are situated a long way from clinical offices, like provincial areas or for a briefly not individual getting clinical consideration. Because of a change in way of life that influences all age gatherings, coronary illness turns into the primary driver of mortality in every single such case. Writing reports that practically 2.8 billion people overall pass away from coronary illness because of being overweight or corpulent, which ultimately influences circulatory strain swings, cholesterol levels, and in particular the effect of pressure chemicals on hidden heart sicknesses. Numerous wearable innovations screen commonplace heart working pointers like circulatory strain, glucose level, blood oxygen immersion, and ECG. The proposed framework might gather the fundamental information while barring commotion unsettling influences by at the same time checking a few boundaries integrated into wearable gadgets utilizing a solitary chip. It endeavors to keep its precision by limiting human collaboration. A constant demonstrative gadget involves biomedical sensors to gauge different boundaries in heart-weak patients who are somewhat found. Doctors can hold and view various accumulated perceptions sometime in the future for a precise determination. Consequently, the proposed structure will lay out an emotionally supportive network that will permit the specialist to electronically screen the patients’ wellbeing boundaries while he is away. The actual impression of a specialist cardiologist would clearly be pivotal for approving the aftereffects of the determination.

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References

  1. Čolaković A, Hadžialić M (2018) Internet of Things (IoT): a review of enabling technologies, challenges, and open research issues. Comput Netw 144:17–39. ISSN 1389-1286

    Google Scholar 

  2. Majumder S, Aghayi E, Noferesti M, Tehran HM, Mondal T, Pang Z, Deen MJ (2017) Smart home for elderly healthcare—recent advances and research challenges. Sensors (Basel) 11

    Google Scholar 

  3. Afzal B, Umair M, Shah GA, Ahmed E (2017) Enabling IoT platforms for social IoT applications: vision, feature mapping, and challenges. Future Gener Comput Syst. ISSN 0167-739X

    Google Scholar 

  4. Han SN, Crespi N (2017) Semantic service provisioning for smart objects: integrating IoT applications into the web. Future Gener Comput Syst 76:180–197. ISSN 0167-739X

    Google Scholar 

  5. Khutsoane O, Isong B, Abu-Mahfouz AM (2017) IoT devices and applications based on LoRa/LoRaWAN. In: IECON 2017—43rd annual conference of the IEEE Industrial Electronics Society, Beijing, pp 6107–6112

    Google Scholar 

  6. Yeh K-H (2016) A secure IOT-based healthcare system with body sensor network. IEEE Access

    Google Scholar 

  7. Li C, Hu X, Zhang L (2017) The IOT based heart disease monitoring system for pervasive healthcare service. Sci Direct Comput Sci 112

    Google Scholar 

  8. Fouad H, Farouk H (2017) Heart rate sensor node analysis for designing internet of things telemedicine embedded system. Cogent Eng 4:130–152

    Google Scholar 

  9. Kumar PM, Gandhi UD (2018) A novel three-tier internet of things architecture with machine learning algorithm for early detection of heart diseases. Comput Electr Eng, 222–235

    Google Scholar 

  10. Kumar PM, Lokesh S, Varatharajan R, Gokulnath C, Parthasarathy P (2018) Cloud and IoT based disease prediction and diagnosis system for healthcare using Fuzzy neural classifier. Future Gener Comput Syst

    Google Scholar 

  11. Haghi M, Thurow K, Stoll R (2017) Wearable devices in medical internet of things: scientific research and commercially available devices. Healthcare Informatics Research (HIR)

    Google Scholar 

  12. Mardonova M, Choi Y (2018) Review of wearable device technology and its applications to the mining industry. Energies 11

    Google Scholar 

  13. Jaiswal K, Sobhanayak S, Mohanta BK, Jena D (2017) IoT-cloud based framework for patient’s data collection in smart healthcare system using raspberry-pi. In: 2017 international conference on electrical and computing technologies and applications (ICECTA), Ras Al Khaimah, pp 1–4

    Google Scholar 

  14. Chen G, Zhan Y, Chen Y, Xiao L, Wang Y, An N (2018) Reinforcement learning based power control for in-body sensors in WBANs against jamming. IEEE Access. 6:37403–37412

    Article  Google Scholar 

  15. Anbarasi MS, Janani V (2017) Ensemble classifier with Random Forest algorithm to deal with imbalanced healthcare data. In: International conference on information communication and embedded systems (ICICES). IEEE, pp 1–7

    Google Scholar 

  16. Patil P, Mohsin S (2017) Fuzzy logic based health care system using wireless body area network. Int J Comput Appl, 80(12)

    Google Scholar 

  17. Kumar S et al (2018) Enhancement of health care using naive Bayes algorithm data mining of social media

    Google Scholar 

  18. Xu C, Chase JG, Rodgers GW (2015) Nonlinear regression based health monitoring of hysteretic structures under seismic excitation. Shock Vib

    Google Scholar 

  19. Woods JC, Walinjkar A (2017) ECG classification and prognostic approach towards personalized healthcare

    Google Scholar 

  20. Umer M, Sadiq S, Karamti H, Karamti W, Majeed R, Nappi M (2022) IoT based smart monitoring of patients’ with acute heart failure. Sensors 2022. https://doi.org/10.3390/s22072431

  21. Jenifer A, Jeba G, Paulraj L, Nithish Kumar K, Yuvaraj T, Alen G, Peter Rozario F (2022) Edge-based heart disease prediction device using internet of things. In: IEEE international conference on applied artificial intelligence and computing (ICAAIC)

    Google Scholar 

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Correspondence to P. Kumar .

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Kumar, P., Vinod Kumar, S., Priya, L. (2024). Heart Device for Expectation of Coronary Illness Utilizing Internet of Things. In: Malhotra, R., Sumalatha, L., Yassin, S.M.W., Patgiri, R., Muppalaneni, N.B. (eds) High Performance Computing, Smart Devices and Networks. CHSN 2022. Lecture Notes in Electrical Engineering, vol 1087. Springer, Singapore. https://doi.org/10.1007/978-981-99-6690-5_14

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  • DOI: https://doi.org/10.1007/978-981-99-6690-5_14

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-6689-9

  • Online ISBN: 978-981-99-6690-5

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