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Cloud Supported Internet of Medical Things Based Remote Health Monitoring System

Yıl 2021, Cilt: 26 Sayı: 3, 1083 - 1096, 31.12.2021

Murtaza Cicioğlu Ali Çalhan

https://doi.org/10.17482/uumfd.856981
Cited By: 1

Öz

The concept of the Internet of Things as a new generation heterogeneous communication networks is frequently mentioned today. It produces solutions especially in the field of health, settlement, agriculture, transportation, industry, etc. associated with cloud technologies. The Internet of Things, which is called the Medical Internet of Things in the field of health, highlights the communication of different types of health applications and devices with each other. In our study, a scenario has been realized in the Riverbed Modeler simulation program in which an individual's various physiological measurements are collected in a central node with wireless communication and it sends data to a gateway. An infrastructure has been designed to allow the gateway to instantly transfer the data it receives to the cloud and then simultaneously display it on the screen of healthcare personnel thanks to a mobile application. In this way, a real-time Medical Internet of Things application is recommended. Heart rate, blood pressure, oxygen amount, body temperature and respiratory rate data are instantly shared between individuals and healthcare personnel, and a remote health monitoring system has been established that can be used especially in pandemic processes.

Anahtar Kelimeler

Internet of Medical Things Cloud Computing Remote Health Monitoring Wireless Communication

Kaynakça

  • 1. Al-Turjman F, Deebak B (2020) Privacy-Aware Energy-Efficient Framework Using the Internet of Medical Things for COVID-19. IEEE Internet of Things Magazine 3:64–68. doi: 10.1109/IOTM.0001.2000123
  • 2. Al-Mazroa A. ve N. E. Rikli (2015) Performance evaluation of IEEE 802.15.6 MAC in WBANs - A case study”, içinde Conference Proceedings - 6th International Conference on Information Technology and Multimedia at UNITEN: Cultivating Creativity and Enabling Technology Through the Internet of Things, 2015, ss. 66–71. doi: 10.1109/ICIMU.2014.7066605
  • 3. Al-Turjman F, Nawaz MH, Ulusar UD (2020) Intelligence in the Internet of Medical Things era: A systematic review of current and future trends. Computer Communications 150:644–660. doi: 10.1016/j.comcom.2019.12.030
  • 4. Al-Turjman F, Zahmatkesh H, Mostarda L (2019) Quantifying Uncertainty in Internet of Medical Things and Big-Data Services Using Intelligence and Deep Learning. IEEE Access 7:115749–115759. doi: 10.1109/ACCESS.2019.2931637
  • 5. Awan KA, Din IU, Almogren A, Almajed H, Mohiuddin I, Guizani M (2020) NeuroTrust -Artificial Neural Network-based Intelligent Trust Management Mechanism for Large-Scale Internet of Medical Things. IEEE Internet of Things Journal 1–1. doi: 10.1109/JIOT.2020.3029221
  • 6. Balestrieri E, Boldi F, Colavita AR, De Vito L, Laudato G, Oliveto R, Picariello F, Rivaldi S, Scalabrino S, Torchitti P, Tudosa I (2019) The architecture of an innovative smart T-shirt based on the Internet of Medical Things paradigm. IEEE International Symposium on Medical Measurements and Applications (MeMeA). IEEE, ss 1–6. doi: 10.1109/MeMeA.2019.8802143
  • 7. Cicioğlu M. & Çalhan A. (2019) HUBsFLOW: A novel interface protocol for SDN-enabled WBANs. Computer Networks, 160, 105-117. doi: 10.1016/j.comnet.2019.06.007
  • 8. Dong P, Ning Z, Obaidat MS, Jiang X, Guo Y, Hu X, Hu B, Sadoun B (2020) Edge Computing Based Healthcare Systems: Enabling Decentralized Health Monitoring in Internet of Medical Things. IEEE Network 34:254–261. doi: 10.1109/MNET.011.1900636
  • 9. IEEE Computer Society, IEEE Standard for Local and metropolitan area networks - Part 15.6: Wireless Body Area Networks. 2012.
  • 10. Li X, Dai H-N, Wang Q, Imran M, Li D, Imran MA (2020) Securing Internet of Medical Things with Friendly-jamming schemes. Computer Communications 160:431–442. doi: 10.1016/j.comcom.2020.06.026
  • 11. Papaioannou M, Karageorgou M, Mantas G, Sucasas V, Essop I, Rodriguez J, Lymberopoulos D (2020) A Survey on Security Threats and Countermeasures in Internet of Medical Things (IoMT). Transactions on Emerging Telecommunications Technologies. doi: 10.1002/ett.4049
  • 12. Pratap Singh R, Javaid M, Haleem A, Vaishya R, Ali S (2020) Internet of Medical Things (IoMT) for orthopaedic in COVID-19 pandemic: Roles, challenges, and applications. Journal of Clinical Orthopaedics and Trauma 11:713–717. doi: 10.1016/j.jcot.2020.05.011
  • 13. Pustokhina IV, Pustokhin DA, Gupta D, Khanna A, Shankar K, Nguyen GN (2020) An Effective Training Scheme for Deep Neural Network in Edge Computing Enabled Internet of Medical Things (IoMT) Systems. IEEE Access 8:107112–107123. doi: 10.1109/ACCESS.2020.3000322
  • 14. Rashwand S., Misic J., ve Misic V. B. (2016) “Analysis of CSMA/CA Mechanism of IEEE 802.15.6 under Non-Saturation Regime”, IEEE Transactions on Parallel and Distributed Systems, c. 27, sayı 5, ss. 1279–1288. doi: 10.1109/TPDS.2015.2447528
  • 15. Ray PP, Dash D, Kumar N (2020) Sensors for internet of medical things: State-of-the-art, security and privacy issues, challenges and future directions. Computer Communications 160:111–131. doi: 10.1016/j.comcom.2020.05.029
  • 16. Rhayem A, Mhiri MBA, Drira K, Tazi S, Gargouri F (2020) A semantic‐enabled and context‐aware monitoring system for the internet of medical things. Expert Systems. doi: 10.1111/exsy.12629
  • 17. Sarkar S., Misra S., Bandyopadhyay B., Chakraborty C., ve Obaidat M. S. (2015) “Performance analysis of IEEE 802.15.6 mac protocol under non-ideal channel conditions and saturated traffic regime”, IEEE Transactions on Computers, c. 64, sayı 10, ss. 2912–2925. doi: 10.1109/TC.2015.2389806
  • 18. Swayamsiddha S, Mohanty C (2020) Application of cognitive Internet of Medical Things for COVID-19 pandemic. Diabetes & Metabolic Syndrome: Clinical Research & Reviews 14:911–915. doi: 10.1016/j.dsx.2020.06.014
  • 19. Tahir S, Bakhsh ST, Abulkhair M, Alassafi MO (2019) An energy-efficient fog-to-cloud Internet of Medical Things architecture. International Journal of Distributed Sensor Networks 15:155014771985197. doi: 10.1177/1550147719851977
  • 20. Thamilarasu G, Odesile A, Hoang A (2020) An Intrusion Detection System for Internet of Medical Things. IEEE Access 8:181560–181576. doi: 10.1109/ACCESS.2020.3026260
  • 21. Ullah S., Chen M., ve Kwak K. S. (2012) “Throughput and Delay Analysis of IEEE 802.15.6-based CSMA/CA Protocol”, Journal of Medical Systems, c. 36, sayı 6, ss. 3875–3891. doi: 10.1007/s10916-012-9860-0
  • 22. Vishnu S, Ramson SRJ, Jegan R (2020) Internet of Medical Things (IoMT) - An overview. 5th International Conference on Devices, Circuits and Systems (ICDCS). IEEE, ss 101–104. doi: 10.1109/ICDCS48716.2020.243558
  • 23. Wei K, Zhang L, Guo Y, Jiang X (2020) Health Monitoring Based on Internet of Medical Things: Architecture, Enabling Technologies, and Applications. IEEE Access 8:27468–27478. doi: 10.1109/ACCESS.2020.2971654

BULUT DESTEKLİ MEDİKAL NESNELERİN İNTERNETİ TABANLI UZAKTAN SAĞLIK İZLEME SİSTEMİ

Yıl 2021, Cilt: 26 Sayı: 3, 1083 - 1096, 31.12.2021

Murtaza Cicioğlu Ali Çalhan

https://doi.org/10.17482/uumfd.856981
Cited By: 1

Öz

Nesnelerin interneti kavramı günümüzde kendinden sıkça söz ettiren bir kavram olmakla birlikte yeni nesil heterojen haberleşme ağları olarak ifade edilmektedir. Özellikle sağlık alanı başta olmak üzere, yerleşim, tarım, taşıma, endüstri vb. alanlarında her geçen gün çözümler üretmekte ve bulut teknolojileriyle birlikte anılmaktadır. Sağlık alanında Medikal Nesnelerin İnterneti olarak isimlendirilen Nesnelerin İnterneti farklı tipte sağlık uygulamaları ve cihazların birbirleri ile haberleşmesini ön plana çıkarmaktadır. Çalışmamızda bir bireyin çeşitli fizyolojik ölçümlerinin kablosuz haberleşme ile merkezi bir düğümde toplanması ve bu düğümün bir ağ geçidine verileri göndermesi şeklinde bir senaryo Riverbed Modeler benzetim programında gerçekleştirilmiştir. Ağ geçidi aldığı verileri anlık olarak buluta aktarması ve ardından bir mobil uygulama sayesinde eşzamanlı olarak sağlık personelinin ekranında görüntülenmesini sağlayacak bir altyapı tasarlanmıştır. Bu sayede gerçek zamanlı bir Medikal Nesnelerin İnterneti uygulaması önerilmektedir. Kalp ritmi, kan basıncı, oksijen miktarı, vücut sıcaklığı ve solunum oranı verileri anlık olarak birey ve sağlık personeli arasında paylaşılmış olup özellikle pandemi süreçlerinde kullanılabilecek bir uzaktan sağlık izleme sistemi kurulmuştur.

Anahtar Kelimeler

Medikal Nesneleri İnterneti Bulut Bilişim Uzaktan Sağlık İzleme Kablosuz Haberleşme

Kaynakça

  • 1. Al-Turjman F, Deebak B (2020) Privacy-Aware Energy-Efficient Framework Using the Internet of Medical Things for COVID-19. IEEE Internet of Things Magazine 3:64–68. doi: 10.1109/IOTM.0001.2000123
  • 2. Al-Mazroa A. ve N. E. Rikli (2015) Performance evaluation of IEEE 802.15.6 MAC in WBANs - A case study”, içinde Conference Proceedings - 6th International Conference on Information Technology and Multimedia at UNITEN: Cultivating Creativity and Enabling Technology Through the Internet of Things, 2015, ss. 66–71. doi: 10.1109/ICIMU.2014.7066605
  • 3. Al-Turjman F, Nawaz MH, Ulusar UD (2020) Intelligence in the Internet of Medical Things era: A systematic review of current and future trends. Computer Communications 150:644–660. doi: 10.1016/j.comcom.2019.12.030
  • 4. Al-Turjman F, Zahmatkesh H, Mostarda L (2019) Quantifying Uncertainty in Internet of Medical Things and Big-Data Services Using Intelligence and Deep Learning. IEEE Access 7:115749–115759. doi: 10.1109/ACCESS.2019.2931637
  • 5. Awan KA, Din IU, Almogren A, Almajed H, Mohiuddin I, Guizani M (2020) NeuroTrust -Artificial Neural Network-based Intelligent Trust Management Mechanism for Large-Scale Internet of Medical Things. IEEE Internet of Things Journal 1–1. doi: 10.1109/JIOT.2020.3029221
  • 6. Balestrieri E, Boldi F, Colavita AR, De Vito L, Laudato G, Oliveto R, Picariello F, Rivaldi S, Scalabrino S, Torchitti P, Tudosa I (2019) The architecture of an innovative smart T-shirt based on the Internet of Medical Things paradigm. IEEE International Symposium on Medical Measurements and Applications (MeMeA). IEEE, ss 1–6. doi: 10.1109/MeMeA.2019.8802143
  • 7. Cicioğlu M. & Çalhan A. (2019) HUBsFLOW: A novel interface protocol for SDN-enabled WBANs. Computer Networks, 160, 105-117. doi: 10.1016/j.comnet.2019.06.007
  • 8. Dong P, Ning Z, Obaidat MS, Jiang X, Guo Y, Hu X, Hu B, Sadoun B (2020) Edge Computing Based Healthcare Systems: Enabling Decentralized Health Monitoring in Internet of Medical Things. IEEE Network 34:254–261. doi: 10.1109/MNET.011.1900636
  • 9. IEEE Computer Society, IEEE Standard for Local and metropolitan area networks - Part 15.6: Wireless Body Area Networks. 2012.
  • 10. Li X, Dai H-N, Wang Q, Imran M, Li D, Imran MA (2020) Securing Internet of Medical Things with Friendly-jamming schemes. Computer Communications 160:431–442. doi: 10.1016/j.comcom.2020.06.026
  • 11. Papaioannou M, Karageorgou M, Mantas G, Sucasas V, Essop I, Rodriguez J, Lymberopoulos D (2020) A Survey on Security Threats and Countermeasures in Internet of Medical Things (IoMT). Transactions on Emerging Telecommunications Technologies. doi: 10.1002/ett.4049
  • 12. Pratap Singh R, Javaid M, Haleem A, Vaishya R, Ali S (2020) Internet of Medical Things (IoMT) for orthopaedic in COVID-19 pandemic: Roles, challenges, and applications. Journal of Clinical Orthopaedics and Trauma 11:713–717. doi: 10.1016/j.jcot.2020.05.011
  • 13. Pustokhina IV, Pustokhin DA, Gupta D, Khanna A, Shankar K, Nguyen GN (2020) An Effective Training Scheme for Deep Neural Network in Edge Computing Enabled Internet of Medical Things (IoMT) Systems. IEEE Access 8:107112–107123. doi: 10.1109/ACCESS.2020.3000322
  • 14. Rashwand S., Misic J., ve Misic V. B. (2016) “Analysis of CSMA/CA Mechanism of IEEE 802.15.6 under Non-Saturation Regime”, IEEE Transactions on Parallel and Distributed Systems, c. 27, sayı 5, ss. 1279–1288. doi: 10.1109/TPDS.2015.2447528
  • 15. Ray PP, Dash D, Kumar N (2020) Sensors for internet of medical things: State-of-the-art, security and privacy issues, challenges and future directions. Computer Communications 160:111–131. doi: 10.1016/j.comcom.2020.05.029
  • 16. Rhayem A, Mhiri MBA, Drira K, Tazi S, Gargouri F (2020) A semantic‐enabled and context‐aware monitoring system for the internet of medical things. Expert Systems. doi: 10.1111/exsy.12629
  • 17. Sarkar S., Misra S., Bandyopadhyay B., Chakraborty C., ve Obaidat M. S. (2015) “Performance analysis of IEEE 802.15.6 mac protocol under non-ideal channel conditions and saturated traffic regime”, IEEE Transactions on Computers, c. 64, sayı 10, ss. 2912–2925. doi: 10.1109/TC.2015.2389806
  • 18. Swayamsiddha S, Mohanty C (2020) Application of cognitive Internet of Medical Things for COVID-19 pandemic. Diabetes & Metabolic Syndrome: Clinical Research & Reviews 14:911–915. doi: 10.1016/j.dsx.2020.06.014
  • 19. Tahir S, Bakhsh ST, Abulkhair M, Alassafi MO (2019) An energy-efficient fog-to-cloud Internet of Medical Things architecture. International Journal of Distributed Sensor Networks 15:155014771985197. doi: 10.1177/1550147719851977
  • 20. Thamilarasu G, Odesile A, Hoang A (2020) An Intrusion Detection System for Internet of Medical Things. IEEE Access 8:181560–181576. doi: 10.1109/ACCESS.2020.3026260
  • 21. Ullah S., Chen M., ve Kwak K. S. (2012) “Throughput and Delay Analysis of IEEE 802.15.6-based CSMA/CA Protocol”, Journal of Medical Systems, c. 36, sayı 6, ss. 3875–3891. doi: 10.1007/s10916-012-9860-0
  • 22. Vishnu S, Ramson SRJ, Jegan R (2020) Internet of Medical Things (IoMT) - An overview. 5th International Conference on Devices, Circuits and Systems (ICDCS). IEEE, ss 101–104. doi: 10.1109/ICDCS48716.2020.243558
  • 23. Wei K, Zhang L, Guo Y, Jiang X (2020) Health Monitoring Based on Internet of Medical Things: Architecture, Enabling Technologies, and Applications. IEEE Access 8:27468–27478. doi: 10.1109/ACCESS.2020.2971654
Toplam 23 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Yazılım Mühendisliği, Bilgisayar Yazılımı
Bölüm Araştırma Makaleleri
Yazarlar

Murtaza Cicioğlu 0000-0002-5657-7402

Ali Çalhan 0000-0002-5798-3103

Yayımlanma Tarihi 31 Aralık 2021
Gönderilme Tarihi 9 Ocak 2021
Kabul Tarihi 20 Eylül 2021
Yayımlandığı Sayı Yıl 2021 Cilt: 26 Sayı: 3

Kaynak Göster

APA Cicioğlu, M., & Çalhan, A. (2021). BULUT DESTEKLİ MEDİKAL NESNELERİN İNTERNETİ TABANLI UZAKTAN SAĞLIK İZLEME SİSTEMİ. Uludağ Üniversitesi Mühendislik Fakültesi Dergisi, 26(3), 1083-1096. https://doi.org/10.17482/uumfd.856981
AMA Cicioğlu M, Çalhan A. BULUT DESTEKLİ MEDİKAL NESNELERİN İNTERNETİ TABANLI UZAKTAN SAĞLIK İZLEME SİSTEMİ. UUJFE. Aralık 2021;26(3):1083-1096. doi:10.17482/uumfd.856981
Chicago Cicioğlu, Murtaza, ve Ali Çalhan. “BULUT DESTEKLİ MEDİKAL NESNELERİN İNTERNETİ TABANLI UZAKTAN SAĞLIK İZLEME SİSTEMİ”. Uludağ Üniversitesi Mühendislik Fakültesi Dergisi 26, sy. 3 (Aralık 2021): 1083-96. https://doi.org/10.17482/uumfd.856981.
EndNote Cicioğlu M, Çalhan A (01 Aralık 2021) BULUT DESTEKLİ MEDİKAL NESNELERİN İNTERNETİ TABANLI UZAKTAN SAĞLIK İZLEME SİSTEMİ. Uludağ Üniversitesi Mühendislik Fakültesi Dergisi 26 3 1083–1096.
IEEE M. Cicioğlu ve A. Çalhan, “BULUT DESTEKLİ MEDİKAL NESNELERİN İNTERNETİ TABANLI UZAKTAN SAĞLIK İZLEME SİSTEMİ”, UUJFE, c. 26, sy. 3, ss. 1083–1096, 2021, doi: 10.17482/uumfd.856981.
ISNAD Cicioğlu, Murtaza - Çalhan, Ali. “BULUT DESTEKLİ MEDİKAL NESNELERİN İNTERNETİ TABANLI UZAKTAN SAĞLIK İZLEME SİSTEMİ”. Uludağ Üniversitesi Mühendislik Fakültesi Dergisi 26/3 (Aralık 2021), 1083-1096. https://doi.org/10.17482/uumfd.856981.
JAMA Cicioğlu M, Çalhan A. BULUT DESTEKLİ MEDİKAL NESNELERİN İNTERNETİ TABANLI UZAKTAN SAĞLIK İZLEME SİSTEMİ. UUJFE. 2021;26:1083–1096.
MLA Cicioğlu, Murtaza ve Ali Çalhan. “BULUT DESTEKLİ MEDİKAL NESNELERİN İNTERNETİ TABANLI UZAKTAN SAĞLIK İZLEME SİSTEMİ”. Uludağ Üniversitesi Mühendislik Fakültesi Dergisi, c. 26, sy. 3, 2021, ss. 1083-96, doi:10.17482/uumfd.856981.
Vancouver Cicioğlu M, Çalhan A. BULUT DESTEKLİ MEDİKAL NESNELERİN İNTERNETİ TABANLI UZAKTAN SAĞLIK İZLEME SİSTEMİ. UUJFE. 2021;26(3):1083-96.

Cited By

Use of Internet of Things in Detection of COVID-19: A Review with Bibliometric Analysis
Bilişim Teknolojileri Dergisi
https://doi.org/10.17671/gazibtd.1111392

DUYURU:

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