An effective cloud based personal emergency response system by providing privacy protection for the medical data

  • Authors

    • V Brindha Devi
    • Lokeswari U
    • Saraswathi B
    • Vindhya T
    2018-06-08
    https://doi.org/10.14419/ijet.v7i2.33.14165
  • Medical Data Sharing, Intrusion Avoidance, Wearable Device, Emergency Responders, Heart Disease Prediction, Wireless Monitoring Device
  • Timely access to the emergency medical services is challenging tasks due to the increasing percentage of population. Especially prehospital emergency situations are neglected for quite a long time. The agglomeration of medical gadgets and other system applications that bridges the gap to healthcare IT systems through Internet or computer networks is placed under the domain (IoMT) Internet Of Medical Things . In this project an efficient medical data monitoring and an emergency response system has been developed. IoT in healthcare is made to bridge the gap by providing the connectivity through internet making sure that the information is secured and available on the timely access. The wireless monitoring device collects data from various sensors, which is shared into the database using ZigBee cc2530 Transmitter Receiver through UART communication. The wireless device is embedded with sensors like Pulse oximeter (senses the heart beat rate and blood oxygen concentration)and temperature sensor. This data is monitored regularly and if there is any abnormality in the values then an alert is sent to the doctor to intimate the condition of the patient. This paper provides an interaction of the patient with the doctors. The interaction is enabled using public and private chat application where any number of patients can interact with a doctor. It is challenging task to personalize specific healthcare data i.e. medical records for various application users in an appropriate and secured fashion. Thus, the patient’s health records i.e. prescription, scan reports, etc. are uploaded by the patient which can be viewed by the doctor. These files are encrypted using an encryption algorithm before uploading it into the cloud. Similarly it is decrypted while downloaded by the doctor for reference. The data collected is used for the prediction of diseases like heart attack and the report is sent to the doctor. Hence the project’s aim is, when the recorded value exceeds the threshold range, an automatic intimation with the patient’s collected data is sent to the concerned doctor.

     

     
  • References

    1. [1] Base paper - Min Chen, Senior Member, IEEE, Yongfeng Qian, Jing Chen, Kai Hwang, Fellow, IEEE, Shiwen Mao, Senior Member, Long Hu “Privacy Protection and Intrusion Avoidance for Cloudlet-based Medical Data Sharing†published in IEEE Transactions on Cloud Computing, 2017.

      [2] Andrews Samraj, Kalvina Rajendran “Communication by Gestures in Personal Emergency Response System†published in Emerging Trends and Applications in Computer Science (ICETACS), 2013 1st International Conference.

      [3] Arbish Akram, Maria Anjum, Mariam Rehman, Hafsah Bukhary, Hifza Amir, Rafia Qaisar - “Life Savior: An Integrated Emergency Response System†published in Information Technology (ICIT), 2017 8th International Conference.

      [4] R. Bye, A. Camtepe and S. Albayrak. “Collaborative Computer Security and Trust Managementâ€, Chapter Teamworking for Security: The Collaborative Approach, Information Science Reference, 2009.

      [5] K. Dongre, R. S. Thakur, A. Abraham et al., “Secure cloud storage of data,†in Computer Communication and Informatics (ICCCI), 2014 International Conference on. IEEE, 2014, pp. 1–5.

      [6] David L Larkai, Ruiheng Wu -“Wireless Heart Rate Monitor in Personal Emergency Response System†published in Design and Diagnostics of Electronic Circuits & Systems (DDECS), 2015 IEEE 18th International Symposium.

      [7] Iftekhar Uddin Ahmed, Nazia Hassan, Humayun Rashid,“Solar powered smart wearable health monitoring and tracking device based on GPS and GSM technology for children with autismâ€, in 4th International Conference on Advances in Electrical Engineering (ICAEE),2017.

      [8] R.Kumar and Dr.M.Pallikonda Rajasekaran “Raspberry PI based patient Health Status Observing Method Using Internet Of Things†Published in International Conference on Current Research in Engineering Science and Technology 2016.

      [9] Omar S. Alwan, K. Prahald Rao, “Dedicated real-time monitoring system for health care using ZigBeeâ€, Electrical and Computer Engineering Department, Faculty of Engineering, King Abdulaziz University, Jeddah-21589, Saudi Arabi.

      [10] Shashikant Ghumbre, Chetan Patil, and Ashok Ghatol “Heart Disease Diagnosis using Support Vector Machine†published in International Conference on Computer Science and Information Technology (ICCSIT'2011)

      [11] Y. Shi, S. Abhilash, and K. Hwang, “Cloudlet mesh for securing mobile clouds from intrusions and network attacks,†in The Third IEEE International Conference on Mobile Cloud Computing, Services, and Engineering,(Mobile Cloud 2015). IEEE, 2015.

      [12] J. Sun, F. Wang, J. Hu, and S. Edabollahi, “Supervised patient similarity measure of heterogeneous patient records,†ACM SIGKDD Explorations Newsletter, vol. 14, no. 1, pp. 16–24, 2012.

      [13] Thwe Thwe Ngwea, Su Wai Phyo “Digital Envelope System Based on Optimized NTRU (Number Theory Research Unit) and RC6 Algorithm†published in International Journal of Computer (IJC) (2015) Volume 19, No 1, pp 67-78.

      [14] Y. Wu, M. Su, W. Zheng, K. Hwang, and A. Y. Zomaya, “Associative bigdata sharing in community clouds: The meepo approach,†IEEE CloudComputing, vol. 2, no. 6, pp. 64–73, 2017.

      [15] Wan-Young Chung,Young-Dong Lee, Sang-Joong Jung, “A wireless sensor network compatible wearable u-healthcare monitoring system using integrated ECG, accelerometer and SpO2â€,

      30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2008.

      [16] Yong Lin, Xingjia Lut, Fang Fang and lianbo Fan “Personal Health Care Monitoring and Emergency Response Mechanisms†published in Future Information and Communication Technologies

      For Ubiquitous HealthCare Future Information and Communication Technologies for Ubiquitous HealthCare on 2014.

      [17] J.-J. Yang, J. Li, J. Mulder, Y. Wang, S. Chen, H. Wu, Q. Wang, and H. Pan, “Emerging information technologies for enhanced healthcare, Computers in Industry, vol. 69, pp. 3–11, 2015.

      [18] J.-J. Yang, J.-Q. Li, and Y. Niu, “A hybrid solution for privacy preserving medical data sharing in the cloud environment†published in Future Generation Computer Systems, vol. 43, pp. 74–86, 2015.

  • Downloads

  • How to Cite

    Brindha Devi, V., U, L., B, S., & T, V. (2018). An effective cloud based personal emergency response system by providing privacy protection for the medical data. International Journal of Engineering & Technology, 7(2.33), 261-265. https://doi.org/10.14419/ijet.v7i2.33.14165