@inproceedings{95702642c31f48c9b60306afc477bbed,
title = "NXTGeUH: Lorawan based next generation ubiquitous healthcare system for vital signs monitoring falls detection",
abstract = "The challenge for deployment of low-cost and high-speed ubiquitous Smart Health services has prompted us to propose new framework design for providing excellent healthcare to humankind. So, there exists a very high demand for developing an Internet of Medical Things (IoMT) based Ubiquitous Real-Time LoRa (Long Range) Healthcare System using Convolutional Neural Networks (CNN) to agree if a sequence of frames contains a person falling. To model the video motion and make the system scenario sovereign, in this research, we use optical flow images as input to the networks. Right now hospital and home falls are a noteworthy medical services concern overall on account of the aging populace. Current observational information, vital signs and falls history give the necessary data identified with the patient's physiology, and movement information give an additional utensil in falls risk evaluation. The proposed framework utilizes Real-Time Vital signs monitoring and emergency alert message to caregivers or doctors. In this context, we introduce {"}LoRaWAN based Next Generation Ubiquitous Healthcare System (NXTGeUH), an intelligent middleware platform. In addition, this proposed method is evaluated with different public hospital datasets achieving the state-of-The-Art outcomes in all aspects.",
keywords = "Body sensor networks, CNN, ECG, Emergency Alarm, Fall Detection, Healthcare, Internet of Medical Things(IoMT), LoRaWAN, Remote Health Monitoring, Telemedicine, Ubiquitous computing, Vital Signs, Wireless Sensors Network, ZIGBEE",
author = "Patel, {Warish D.} and Sharnil Pandya and Baki Koyuncu and Bhupendra Ramani and Sourabh Bhaskar and Hemant Ghayvat",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 1st International Conference on Data Science and Analytics, PuneCon 2018 ; Conference date: 30-11-2018 Through 02-12-2018",
year = "2018",
month = nov,
doi = "10.1109/PUNECON.2018.8745431",
language = "English",
series = "1st International Conference on Data Science and Analytics, PuneCon 2018 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "1st International Conference on Data Science and Analytics, PuneCon 2018 - Proceedings",
address = "United States",
}