NXTGeUH: LoRaWAN based NEXT Generation Ubiquitous Healthcare System for Vital Signs Monitoring & Falls Detection

Warish D. Patel, Sharnil Pandya, Baki Koyuncu, Bhupendra Ramani, Sourabh Bhaskar, Hemant Ghayvat

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review


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.
Original languageEnglish
Title of host publicationProceedings of 2018 IEEE Punecon
Number of pages8
Publication date2019
ISBN (Electronic)978-1-5386-7278-5
Publication statusPublished - 2019
Event1st International Conference on Data Science & Analytics - Pune, India
Duration: 30 Nov 20182 Dec 2018
Conference number: 1


Conference1st International Conference on Data Science & Analytics
Internet address


  • Internet of Medical Things(IoMT)
  • Healthcare
  • Wireless sensors network
  • CNN
  • Remote health monitoring
  • Vital signs
  • Body sensor networks
  • Telemedicine
  • Emergency alarm
  • LoRaWAN
  • ECG
  • Ubiquitous computing
  • Fall detection


Dive into the research topics of 'NXTGeUH: LoRaWAN based NEXT Generation Ubiquitous Healthcare System for Vital Signs Monitoring & Falls Detection'. Together they form a unique fingerprint.

Cite this