Abstract

Health monitoring is a huge, severe issue in today's environment. Patients have major health problems as a result of a lack of patient health monitoring. There are many IoT smart gadgets available nowadays that can monitor patients' critical health conditions via the internet. Health professionals are also using smart devices to monitor their patients. With hundreds of new healthcare technology start- ups, IoT is rapidly transforming the healthcare industry. The IoT-based patient health monitoring equipment is utilized in both hospitals and homes. Manual techniques are not the best alternative for monitoring the patient's physiological characteristics. This equipment is highly beneficial for doctors to diagnose a patient who has suffered for a long time. They can easily be able to access the respective patient's data from the cloud to their personal computer, cell phone, etc., In this work, objective is to develop with NODE MCU (ESP8266) based device, Interfaced with the physiological data acquisition sensors [DS18B20 (Temperature Sensor), MAX30100 (Pulse Sensor) And Heart Rate Sensor]. With the help of this board, the data can easily transmit to the cloud server and fetch it.

References

• Archibald, J., Warner, F. M., Ortiz, O., Todd, M., &Jutzeler, C. R. (2018). Recent advances in objectifying pain using neuroimaging techniques. In Journal of Neurophysiology (Vol. 120, Issue 2, pp. 387–390). https://doi.org/10.1152/jn.00171.2018
• Augurelle, A.-S. (2002). Importance of Cutaneous Feedback in Maintaining a Secure Grip During Manipulation of Hand-Held Objects. Journal of Neurophysiology, 89(2), 665–671. https://doi.org/10.1152/jn.00249.2002
• Archibald, J., Warner, F. M., Ortiz, O., Todd, M., &Jutzeler, C. R. (2018). Recent advances in objectifying pain using neuroimaging techniques. In Journal of Neurophysiology (Vol. 120, Issue 2, pp. 387–390). https://doi.org/10.1152/jn.00171.2018
• Augurelle, A.-S. (2002). Importance of Cutaneous Feedback in Maintaining a Secure Grip During Manipulation of Hand-Held Objects. Journal of Neurophysiology, 89(2), 665–671. https://doi.org/10.1152/jn.00249.2002
• Backs, R. W., &Walrath, L. C. (1992). Eye movement and pupillary response indices of mental workload during visual search of symbolic displays. Applied Ergonomics, 23(4), 243–254. https://doi.org/10.1016/0003-6870(92)90152-L
• Bashivan, P., Bidelman, G. M., &Yeasin, M. (2014). Spectrotemporal dynamics of the EEG during working memory encoding and maintenance predicts individual behavioral capacity. European Journal of Neuroscience, 40(12), 3774– 3784. https://doi.org/10.1111/ejn.12749
• Bashivan, P., Yeasin, M., &Bidelman, G. M. (2016). Single trial prediction of normal and excessive cognitive load through EEG feature fusion. 2015 IEEE Signal Processing in Medicine and Biology Symposium- Proceedings,1–5 https://doi.org/10.1109/SPMB.2015.7405422
• Biddiss, E., &Chau, T. (2007). Upper limb prosthesis use and abandonment: A survey of the last 25 years. Prosthetics and Orthotics International,31(3),236–257. https://doi.org/10.1080/03093640600994581
• Binkofski, F., Buccino, G., Posse, S., Seitz, R. J., Rizzolatti, G., & Freund, H. J. (1999). A fronto-parietal circuit for object manipulation in man: Evidence from an fMRI-study. European Journal of Neuroscience,11(9),3276–3286. https://doi.org/10.1046/j.14609568.1999.00753.x
• Archibald, J., Warner, F. M., Ortiz, O., Todd, M., &Jutzeler, C. R. (2018). Recent advances in objectifying pain using neuroimaging techniques. In Journal of Neurophysiology (Vol. 120, Issue 2, pp. 387–390). https://doi.org/10.1152/jn.00171.2018
• Augurelle, A.-S. (2002). Importance of Cutaneous Feedback in Maintaining a Secure Grip During Manipulation of Hand-Held Objects. Journal of Neurophysiology, 89(2), 665–671. https://doi.org/10.1152/jn.00249.2002
• Backs, R. W., &Walrath, L. C. (1992). Eye movement and pupillary response indices of mental workload during visual search of symbolic displays. Applied Ergonomics, 23(4), 243–254. https://doi.org/10.1016/0003- 6870(92)90152-L
• Bashivan, P., Bidelman, G. M., &Yeasin, M. (2014). Spectrotemporal dynamics of the EEG during working memory encoding and maintenance predicts individual behavioral capacity. European Journal of Neuroscience, 40(12), 3774– 3784. https://doi.org/10.1111/ejn.12749
• Bashivan, P., Yeasin, M., &Bidelman, G. M. (2016). Single trial prediction of normal and excessive cognitive load through EEG feature fusion. 2015 IEEE Signal Processing in Medicine and Biology Symposium- Proceedings,1–5 https://doi.org/10.1109/SPMB.2015.7405422
• Biddiss, E., &Chau, T. (2007). Upper limb prosthesis use and abandonment: A survey of the last 25 years. Prosthetics and Orthotics International,31(3),236–257. https://doi.org/10.1080/03093640600994581
• inkofski, F., Buccino, G., Posse, S., Seitz, R. J., Rizzolatti, G., & Freund, H. J. (1999). A fronto-parietal circuit for object manipulation in man: Evidence from an fMRI-study. European Journal of Neuroscience,11(9),3276–3286. https://doi.org/10.1046/j.1460-9568.1999.00753.x
• Archibald, J., Warner, F. M., Ortiz, O., Todd, M., &Jutzeler, C. R. (2018). Recent advances in objectifying pain using neuroimaging techniques. In Journal of Neurophysiology (Vol. 120, Issue 2, pp. 387–390). https://doi.org/10.1152/jn.00171.2018.
• Augurelle, A.-S. (2002). Importance of Cutaneous Feedback in Maintaining a Secure Grip During Manipulation of Hand-Held Objects. Journal of Neurophysiology, 89(2), 665–671. https://doi.org/10.1152/jn.00249.2002