Utilising Fog Computing for Developing a Person-Centric Heart Monitoring System

2018 ◽  
Author(s):  
Orestis Akrivopoulos ◽  
Dimitrios Amaxilatis ◽  
Irene Mavrommati ◽  
Ioannis Chatzigiannakis
Keyword(s):  
Monitoring System ◽  
Fog Computing ◽  
Heart Monitoring

Utilising fog computing for developing a person-centric heart monitoring system

2019 ◽  
Vol 11 (3) ◽  
pp. 237-259 ◽  
Author(s):  
Orestis Akrivopoulos ◽  
Dimitrios Amaxilatis ◽  
Irene Mavrommati ◽  
Ioannis Chatzigiannakis
Keyword(s):  
Monitoring System ◽  
Fog Computing ◽  
Heart Monitoring

Mobile Heart Monitoring System Prototype Based on the Texas Instruments Hardware

2016 ◽  
Vol 7 (1) ◽  
pp. 64-84 ◽  
Author(s):  
Andrey Kuzmin ◽  
Maxim Safronov ◽  
Oleg Bodin ◽  
Mikhail Petrovsky ◽  
Anton Sergeenkov
Keyword(s):  
Monitoring System ◽  
Gain Control ◽  
Battery Life ◽  
Recording Device ◽  
Wireless Data ◽  
Original Algorithm ◽  
Energy Efficiency Improvement ◽  
Heart Monitoring ◽  
Wireless Data Transmission ◽  
Wide Range

This paper describes a design of prototype of mobile heart monitoring system based on the Texas Instruments ADS1298R ECG front end and ??2540 wireless data transmission chip. The described design and technical details allow developing a new mobile heart monitoring system consisting of ECG recording device, mobile computer (smartphone or tablet). The original algorithm of energy efficiency improvement by adaptive gain control is proposed and experimentally tested. Increase of battery life is from 1% to 19% depending on concrete conditions. The new algorithm of J-point detection is described and examined on the test ECG database. The detection rate is from 88% to 93%. It will allow mobile monitoring system to inform the user about any signs of dangerous heart condition in ECG. The paper also describes experimental results of wireless protocol bandwidth and contact break detection. The results confirm the efficiency of the proposed technical solutions to mobile heart monitoring for wide range of applications from sports and fitness to monitoring for medical reasons.

MEMS-based implantable heart monitoring system with integrated pacing function

2014 ◽  
Author(s):  
Fjodors Tjulkins ◽  
Anh Tuan Thai Nguyen ◽  
Erik Andreassen ◽  
Nils Hoivik ◽  
Knut Aasmundtveit ◽  
...  
Keyword(s):  
Monitoring System ◽  
Heart Monitoring

scholarly journals A Proposal for Architectural Framework Using Internet of Things with Fog Computing for an Air Quality Monitoring System

2021 ◽  
Vol 2 (2) ◽  
pp. 1-14
Author(s):  
Aarti Rani ◽  
Keyword(s):  
Air Quality ◽  
Internet Of Things ◽  
Real Time ◽  
Monitoring System ◽  
Fog Computing ◽  
Pollution Monitoring ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
Air Pollution Monitoring ◽  
Architectural Framework

Air Monitoring becomes a systematic approach for sensitivity and finding out the circumstances of the atmosphere. The major concern of air quality monitoring is to measure the concentration of pollution and other important parameter related to the contamination and provides information in real-time to make decisions at right time to cure lives and save the environment. This paper proposes an Architectural Framework for the air quality monitoring system based on Internet-of-Things (IoT) and via Fog computing techniques with novel methods to obtain real-time and accurate measurements of conventional air quality monitoring. IoT-based real-time air pollution monitoring system is projected to at any location and stores the measured value of various pollutants over a web server with the Internet. It can facilitate the process and filter data near the end of the IoT nodes in a concurrent manner and improving the Latency issue with the quality of services.

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