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Prototype for Consultation Cloud IoT Supported Medical Records on RFID Technology


Affiliations
1 Escuela de Ciencias Basicas Tecnologia e Ingenieria (ECBTI), Universidad Nacional Abierta y a Distancia; Carrera 27 Nro. 40-43. Bucaramanga, Colombia
2 Universidad de Sucre, Cra 28 # 5-267, Sincelejo, Colombia
 

Background/Objectives: Telemedicine can be considered IoT evolution of the telecommunications-oriented provision of health services remotely sector. This development implies that it is necessary to have specialized with ability to articulate a consultation service, monitoring or acquisition of information related to the health sector, with ongoing communication processes via Internet devices. The aim of this paper is to design a device capable of consulting the medical history of a patient, which is hosted in the cloud under a scheme of IoT is present. Methods: The prototype is supported under the use of a client / server architecture, which uses an Arduino as processing element, MFRC522 cards MIFIRE operating in the 13.56MHz band respectively. Results: The results obtained allowed to demonstrate the possibility of developing such solutions at low cost, thereby facilitating its use and overcrowding in all places where this service is required. Application/Improvements: The prototype developed can be considered as a strategy of technological innovation in the field of telemedicine supported in IoT, because that will reveal a fairly quick and efficient medical history of the patient way for any eventuality or routine procedure in order optimize service processes and delivery of services by health agencies. In future related work it is recommended to establish alternative mechanisms of connectivity and storage of information, which allow reaching higher levels of system performance on a large scale.
User

  • Want R. An introduction to RFID technology. IEEE pervasive Computing. 2006; 5(1):25–33. https://doi.org/10.1109/ MPRV.2006.2.

  • Vesga Ferreira JC, Antonio Vesga Barrera J, Sierra JE. Design of a prototype remote medical monitoring system for measuring blood pressure and glucose measurement. Indian Journal Science and Technology. 2018; 11(22):1–8. https:// doi.org/10.17485/ijst/2018/v11i20/122509.

  • Bhuptani M, Moradpour S. RFID field guide: Deploying radio frequency identification systems. Higher Education, Prentice Hall; 2005. PMid:15920803. PMCid:PMC1963916

  • Sierra JE, Carlos Vesga J, Medina B. Livestock model innovation under the concept of smart cities. Indian Journal Science and Technology. 2018; 11(22):1–6. https://doi.org/10.17485/ijst/2018/v11i22/122510.

  • Landt J. The history of RFID. IEEE Potentials. 2005; 24(4):8– 11. https://doi.org/10.1109/MP.2005.1549751.

  • Ni L, Liu Y, Lau Y, Patil A. LANDMARC: indoor location sensing using active RFID. Proceedings of the First IEEE International Conference on Pervasive Computing and Communications; 2003. p. 407–15. https://doi.org/10.1109/ PERCOM.2003.1192765.

  • Dobkin D. The RF in RFID: UHF RFID in Practice. Newnes; 2012. p. 1–529.

  • Fu Y, Qian Z, Wang X, Liu G. Identifying the unknown tags in a large RFID system. China Communications. 2017; 14(1):135–45. https://doi.org/10.1109/CC.2017.7839764

  • Nikitin P, Rao K. Antennas and propagation in UHF RFID systems. IEEE International Conference on RFID; 2008.277–88.

  • Carlos Vesga FJ, Martha Fabiola Contreras H, Jose Antonio Vesga B. Design of empirical propagation models supported in the Log-Normal Shadowing model for the 2.4GHz and 5GHz bands under Indoor environments. Indian Journal Science and Technology. 2018; 11(22):1–18. https://doi.org/10.17485/ijst/2018/v11i20/122149.

  • Nikitin P, Rao K, Martinez R. Sensitivity and impedance measurements of UHF RFID chips. IEEE Transactions on Microwave Theory and Techniques. 2017; 57(5):1297–302. https://doi.org/10.1109/TMTT.2009.2017297.

  • Ye Y, Ru Y, Liu D, Huang J. Study on inbound special goods traceability system on the basis of RFID technology. IEEE International Conference on Logistics, Informatics and Service Sciences (LISS); 2016. p. 1–6. https://doi.org/10.1109/LISS.2016.7854349.

  • Liu X, Li K, Liu AX, et al. Multi-Category RFID Estimation. IEEE/ACM Transactions on Networking. 2017; 25(1):264– 77. https://doi.org/10.1109/TNET.2016.2594481.

  • Gibbs A, González E. Implementación de un sistema de control de entrada y salida empleando el módulo de lectura RFID con la tecnología Arduino. Revista de Iniciación Científica. 2017; 2(2):1–16.

  • Gómez JO. Sistema electrónico de control y trazabilidad de medicamentos usando Hardware Arduino con tecnología RFID-RC522. Universidad Tecnologica De Pereira Facultad De Ingenierias Ingenieria Electronica; 2016. p. 1–39.

  • Liu X, Xiao B, Li K. RFID Estimation with Blocker tags. IEEE/ACM Transactions on Networking. 2017; 25(1):224– 37. https://doi.org/10.1109/TNET.2016.2595571.

  • ElMahgoub K. Pre-encrypted user data for secure passive UHF RFID communication. IEEE, 12th International Computer Engineering Conference (ICENCO); 2016. p. 26–9. https://doi.org/10.1109/ICENCO.2016.7856440.

  • Sarma S, Weis S, Engels D. RFID systems and security and privacy implications. International Workshop on Cryptographic Hardware and Embedded Systems; 2002. p. 454–69.

  • Dise-o, Desarrollo e Implementación de un Sistema RFIDArduino [Internet]. [cited 2012 Nov 27]. Available from: https://riunet.upv.es/handle/10251/17916.

  • Elías JC. Implementación de WPS en el firmware Node MCU para el ESP8266. (Trabajo fin de grado inédito). Universidad de Sevilla, Sevilla; 2016. p. 1–85. PMCid:PMC5123388

  • Kotiyal B, Muzamil M. Home automation using arduino WiFi module ESP8266. Electronics and Telecommunication; 2016. p. 1–55.

  • Tan C, Sun W, Lu S, Kuo C. P‐167: A Simple Architecture for Fully Integrated 2.4 ″Poly‐Si TFT‐LCD. SID Symposium Digest of Technical Papers. 2012; 36(1):1–248.

  • Elmasri R, Navathe S, Castillo V, Perez G. Sistemas de Información IITema 5. El modelo relacional. Fundamentos de sistemas de bases de datos. 3rd Edition; 2002.

  • Kroenke D, Hernandez A. Procesamiento de bases de datos: fundamentos, dise-o e implementación. Pearson Educación, México; 2003. p. 1–488.


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  • Prototype for Consultation Cloud IoT Supported Medical Records on RFID Technology

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Authors

Juan Carlos Vesga Ferreira
Escuela de Ciencias Basicas Tecnologia e Ingenieria (ECBTI), Universidad Nacional Abierta y a Distancia; Carrera 27 Nro. 40-43. Bucaramanga, Colombia
Martha Fabiola Contreras
Escuela de Ciencias Basicas Tecnologia e Ingenieria (ECBTI), Universidad Nacional Abierta y a Distancia; Carrera 27 Nro. 40-43. Bucaramanga, Colombia
Javier E. Sierra
Universidad de Sucre, Cra 28 # 5-267, Sincelejo, Colombia

Abstract


Background/Objectives: Telemedicine can be considered IoT evolution of the telecommunications-oriented provision of health services remotely sector. This development implies that it is necessary to have specialized with ability to articulate a consultation service, monitoring or acquisition of information related to the health sector, with ongoing communication processes via Internet devices. The aim of this paper is to design a device capable of consulting the medical history of a patient, which is hosted in the cloud under a scheme of IoT is present. Methods: The prototype is supported under the use of a client / server architecture, which uses an Arduino as processing element, MFRC522 cards MIFIRE operating in the 13.56MHz band respectively. Results: The results obtained allowed to demonstrate the possibility of developing such solutions at low cost, thereby facilitating its use and overcrowding in all places where this service is required. Application/Improvements: The prototype developed can be considered as a strategy of technological innovation in the field of telemedicine supported in IoT, because that will reveal a fairly quick and efficient medical history of the patient way for any eventuality or routine procedure in order optimize service processes and delivery of services by health agencies. In future related work it is recommended to establish alternative mechanisms of connectivity and storage of information, which allow reaching higher levels of system performance on a large scale.

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DOI: https://doi.org/10.17485/ijst%2F2018%2Fv11i42%2F129797