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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 882))

Abstract

Internet of Things (IoT) has facilitated a reassuring opportunity to develop powerful and dynamic industrial systems and applications by making use of universality of sensors, actuators and network connectivity. IoT can immensely benefit people when used in the medical field. Non-adherence to a medical routine is a major problem faced by patients. According to the World Health Organization, increasing the effectiveness of adherence interventions may have a far greater impact on the health of the population than any improvement in specific medical treatments. In an attempt to address this problem, in this paper, a special system that monitors and tracks the consumption of medicine of any patient is presented. Adherence needs are met through the implementation of a mobile application. The result of this will be timely consumption of the medicine by the patients.

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References

  1. Uddin, M. A., et al. (2017). Agriculture internet of things-Ag-IoT. In 27th International Telecommunication Networks and Applications Conference (ITNAC) (pp. 1–6).

    Google Scholar 

  2. Zhang, X., et al. (2017). Monitoring citrus soil moisture and nutrients using an IoT based system. IEEE J. Sens., 17(3), 430–447.

    Article  Google Scholar 

  3. Kabir, M. H., et al. (2017). A low cost sensor based agriculture monitoring system using polymeric hydrogel. J. Electrochem. Soc., 164(5), 107–112.

    Article  Google Scholar 

  4. Mahendra, B. M., et al. (2017). IoT based sensor enabled smart car parking for advanced driver assistance system. In 2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT) (pp. 2188–2193).

    Google Scholar 

  5. Brown, M. T., & Bussell, J. K. (2011). Medical adherence: WHO cares? Mayo Clinic Proceedings, 86(4), 304–314.

    Article  Google Scholar 

  6. Chen, C., et al. (2014). A medication adherence monitoring system for pill bottles based on a wearable inertial sensor. In 2014 36th Annual International Conference on Medicine and Biology Society (EMBC). IEEE.

    Google Scholar 

  7. Sohn, S. Y., et al. (2014). Alarm system for elder patients medication with IoT-enabled pill bottle. In 2015 International Conference on Information and Communication Technology Convergence (ICTC) (pp. 60–61). IEEE.

    Google Scholar 

  8. Rohokale, V. M., et al. (2011). A cooperative internet of things (iot) for rural healthcare monitoring and control. In 2011 2nd International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace & Electronic Systems Technology (Wireless VITAE) (pp. 1–6). IEEE.

    Google Scholar 

  9. Serdaroglu, K., et al. (2015). Medication intake adherence with real time activity recognition on IoT. In 2015 IEEE 11th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) (pp. 230–237).

    Google Scholar 

  10. Gomes, C. E. M., et al. (2015). Extending an intelligent medicine cabinet through the use of consumer electronic devices in order to increase the medication adherence. In 2016 6th International Conference on Information and Communication Technology for the Muslim World (ICT4M) (pp. 98–102).

    Google Scholar 

  11. Xu, L., et al. (2014). A health-IoT platform based on the integration of intelligent packaging, unobtrusive bio-sensor, and intelligent medicine box. IEEE Transactions on Industrial Informatics, 10(4).

    Google Scholar 

  12. Magalhães, L., et al. (2017). A three-staged approach to medicine box recognition. 2017 24º Encontro Português de Computação Gráfica e Interação (EPCGI), pp. 1–7.

    Google Scholar 

  13. Rodrigues, M. A. S., et al. (2015). An intelligent medication system designed to improve the medication adherence. In 2015 IEEE 5th International Conference on Consumer Electronics - Berlin (ICCE-Berlin) (pp. 46–49).

    Google Scholar 

  14. Zahir, E., et al. (2017). Implementing and testing an ultrasonic based mobility aid for a visually impaired person. In 2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC) (pp. 453–456).

    Google Scholar 

  15. Mantoro, T., & Istiono, W. (2017). Saving water with water level detection in a smart home bathtub using ultrasonic sensor and Fuzzy logic. In 2017 Second International Conference on Informatics and Computing (ICIC) (pp. 1–5).

    Google Scholar 

  16. Alsalemi, A., et al. (2017). Real-time communication using firebase cloud IoT platform for ECMO simulation. In 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) (pp. 178–182).

    Google Scholar 

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Correspondence to A. R. Shreyas .

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Shreyas, A.R., Sharma, S., Shivani, H., Sowmyarani, C.N. (2019). IoT-Enabled Medicine Bottle. In: Shetty, N., Patnaik, L., Nagaraj, H., Hamsavath, P., Nalini, N. (eds) Emerging Research in Computing, Information, Communication and Applications. Advances in Intelligent Systems and Computing, vol 882. Springer, Singapore. https://doi.org/10.1007/978-981-13-5953-8_11

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  • DOI: https://doi.org/10.1007/978-981-13-5953-8_11

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  • Print ISBN: 978-981-13-5952-1

  • Online ISBN: 978-981-13-5953-8

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