IoT-based healthcare systems can ensure better patient health monitoring conditions especially in remote areas as IoT has found its reach in the daily lives of every person let it be in the way of remote messaging, data transfer, wearable devices monitoring your location, health status or any other. Quick and robust Health monitoring systems has again gained popularity with the advent of Corona Virus in recent times. Nearly everyone in today’s world after attaining an appropriate age is using the health monitoring system to measure vital parameters of the body. In rural areas, monitoring systems are not easily available, and even if acquired, they are largely very bulky and require expertise to use. So, the need is for small, remote and easily available and usable devices which have extra features to measure and display vital health parameters that can be integrated with a system to broadcast the live data to central station which can be monitored by experts. In this work, health vital signs like body temperature and pulse are measured using sensors like MAX30102 and the measured data is sent to the IoT cloud for scheduling a patient’s recorded history. We have utilized Wi-Fi convention IEEE 802.11, standard IPv4 address, next to a 3G cellular arrangement to send information from sensors to versatile application “Blynk”. Besides, Node MCU and Arduino UNO microcontrollers are also connected to the facial shield.
This work is licensed under a Creative Commons Attribution 4.0 International License.
- Agustine, L., Muljono, I., Angka, P. R., Gunadhi, A., Lestariningsih, D., and Weliamto, W. A. 2018. Heart rate monitoring device for arrhythmia using pulse oximeter sensor based on android. In 2018 International Conference on Computer Engineering, Network and Intelligent Multimedia (CENIM). IEEE, pp.106–111. DOI: https://doi.org/10.1109/CENIM.2018.8711120
- Ahmed, M. F., Hasan, M. K., Shahjalal, M., Alam, M. M., and Jang, Y. M. 2017. Design and implementation of an occ-based real-time heart rate and pulse-oxygen saturation monitoring system. In 2017 International conference of Electronics, Communication and Aerospace Technology (ICECA). IEEE, pp.198740–198747.
- Ahmed, M. F., Hasan, M. K., Shahjalal, M., Alam, M. M., and Jang, Y. M. 2020. Real time android app based respiration rate monitor. In Design and implementation of an occ-based real-time heart rate and pulse-oxygen saturation monitoring system. IEEE, pp.709–712. DOI: https://doi.org/10.1109/ACCESS.2020.3034366
- Al-Sheikh, M. A. and Ameen, I. A. 2020. Design of mobile healthcare monitoring system using iot technology and cloud computing. In IOP conference series: materials science and engineering. IOP Publishing, 012113. DOI: https://doi.org/10.1088/1757-899X/881/1/012113
- Ananth, S., Sathya, P., and Mohan, P. M. 2019. Smart health monitoring system through iot. In 2019 International Conference on Communication and Signal Processing (ICCSP). DOI: https://doi.org/10.1109/ICCSP.2019.8697921
- IEEE, pp.0968–0970.
- Bhattacharya, R., Bandyopadhyay, N., and Kalaivani, S. 2017. Real time android app based respiration rate monitor. In 2017 International conference of Electronics, Communication and Aerospace Technology (ICECA). IEEE, pp.709–712. DOI: https://doi.org/10.1109/ICECA.2017.8203633
- Hassan, A. U., Salihu, Y. O., et al. 2021. Real-time monitoring of heart beat rate and spo2 based on internet of things. In 2021 International Conference on Electrical, Computer and Energy Technologies (ICECET). IEEE, pp.1–4. DOI: https://doi.org/10.1109/ICECET52533.2021.9698527
- Jayaysingh, R., David, J., Raaj, M. J. M., Daniel, D., and BlessyTelagathoti, D. 2020. Iot based patient monitoring system using nodemcu. In 2020 5th international conference on devices, circuits and systems (ICDCS). IEEE, pp.240–243. DOI: https://doi.org/10.1109/ICDCS48716.2020.243588
- Kumar, S. P., Samson, V. R. R., Sai, U. B., Rao, P. M., and Eswar, K. K. 2017. Smart health monitoring system of patient through iot. In 2017 international conference on I-SMAC (IoT in social, mobile, analytics and cloud)(I-SMAC). IEEE, pp.551–556. DOI: https://doi.org/10.1109/I-SMAC.2017.8058240
- Longmore, S. K., Jalaludin, B., Breen, P. P., and Gargiulo, G. D. 2019. Comparison of bi-wavelength and tri-wavelength photoplethysmography sensors placed on the forehead. In 2019 International Conference on Electrical Engineering Research & Practice (ICEERP). IEEE, pp.1–4. DOI: https://doi.org/10.1109/ICEERP49088.2019.8956987
- Prasanth, C., Prakash, R., Rufus, E., and Alex, Z. C. 2021. Design and development of cloud based mobile health monitoring system. In 2021 Innovations in Power and Advanced Computing Technologies (i-PACT). IEEE, pp.1–6. DOI: https://doi.org/10.1109/i-PACT52855.2021.9696526
- ˇSkraba, A., Koloˇzvari, A., Kofjaˇc, D., Stojanovi´c, R., Stanovov, V., and Semenkin, E. 2017. Prototype of group heart rate monitoring with nodemcu esp8266. In 2017 6th Mediterranean Conference on Embedded Computing (MECO). IEEE, pp.1–4. DOI: https://doi.org/10.1109/MECO.2017.7977151
- Verma, P. and Mishra, R. 2020. Iot based smart remote health monitoring system. In 2020 International conference on electrical and electronics engineering (ICE3). IEEE, pp.467–470. DOI: https://doi.org/10.1109/ICE348803.2020.9122864