Paper Info
Title
Design and development of an Internet-of-Things enabled wearable ExG measuring system with a novel signal processing algorithm for electrocardiogram
Abstract
In this article, the design and development aspects of a compact bio-potential measuring system, named <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">ExGSense</italic> , is presented. Two versions of the prototype have been developed; first one can measure 3 + 1 V leads in time-multiplexed fashion, while the other can measure 3 + 1 V leads simultaneously. This article also presents an efficient algorithm for filtering electrocardiogram signals which is required to attenuate the effect of motion artefacts which are inevitable in wearable systems. Further, a user-friendly interface for PC and smartphone has also been developed. By the virtue of an ultra-low noise instrumentation amplifier and the programmability of gain and bandwidth of the bio-signal measuring system, a number of other bio-potential signals like EMG, EOG and EEG have been successfully recorded using disposable, off-the-shelf wet Ag/AgCl electrodes.
Year
DOI
Venue
2019
10.1049/iet-cds.2018.5498
IET Circuits, Devices & Systems
Keywords
Field
DocType
electromyography,medical signal processing,biomedical electrodes,electrocardiography,electroencephalography,electro-oculography,instrumentation amplifiers,filtering theory,Internet of Things,human computer interaction
Development aspects,Wearable computer,Wearable systems,Internet of Things,Filter (signal processing),Instrumentation amplifier,Electronic engineering,Bandwidth (signal processing),Mathematics,Signal processing algorithms
Journal
Volume
Issue
ISSN
13
6
1751-858X
Citations 
PageRank 
References 
0
0.34
0
Authors
7
Name
Order
Citations
PageRank
Devarshi Mrinal Das1103.89
Amogh Vidwans220.79
Abhishek Srivastava38822.03
Meraj Ahmad481.72
Saujal Vaishnav500.34
Sourya Dewan600.34
Maryam Shojaei Baghini78629.67