Fog-Internet of things-assisted multi-sensor intelligent monitoring model to analyze the physical health condition.

Technology and Health Care : Official Journal of the European Society for Engineering and Medicine
Fen LiB Santhosh Kumar

Abstract

Internet of Things (IoT) technology provides a tremendous and structured solution to tackle service deliverance aspects of healthcare in terms of mobile health and remote patient tracking. In medicine observation applications, IoT and cloud computing serves as an assistant in the health sector and plays an incredibly significant role. Health professionals and technicians have built an excellent platform for people with various illnesses, leveraging principles of wearable technology, wireless channels, and other remote devices for low-cost healthcare monitoring. This paper proposed the Fog-IoT-assisted multisensor intelligent monitoring model (FIoT-MIMM) for analyzing the patient's physical health condition. The proposed system uses a multisensor device for collecting biometric and medical observing data. The main point is to continually generate emergency alerts on mobile phones from the fog system to users. For the precautionary steps and suggestions for patients' health, a fog layer's temporal information is used. Experimental findings show that the proposed FIoT-MIMM model has less response time and high accuracy in determining a patient's condition than other existing methods. Furthermore, decision making based on real-time...Continue Reading

References

Nov 7, 2019·IEEE Transactions on Biomedical Circuits and Systems·Farnaz ForooghifarDavid Atienza
Nov 7, 2019·Health Information Science and Systems·Hafedh Ben HassenBelgacem Hamdi
Dec 17, 2019·Healthcare Technology Letters·Sarah KhanHasan Al-Nashash

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