Open AccessDesign and development of an Internet‐of‐Things enabled wearable ExG measuring system with a novel signal processing algorithm for electrocardiogram
Author(s) -
Das Devarshi Mrinal,
Vidwans Amogh,
Srivastava Abhishek,
Ahmad Meraj,
Vaishnav Saujal,
Dewan Sourya,
Baghini Maryam Shojaei
Publication year - 2019
Publication title -
iet circuits, devices and systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.251
H-Index - 49
ISSN - 1751-8598
DOI - 10.1049/iet-cds.2018.5498
Subject(s) - wearable computer , computer science , bandwidth (computing) , measure (data warehouse) , interface (matter) , signal (programming language) , instrumentation (computer programming) , instrumentation amplifier , signal processing , amplifier , wearable technology , electronic engineering , computer hardware , real time computing , algorithm , embedded system , engineering , telecommunications , operational amplifier , digital signal processing , data mining , bubble , maximum bubble pressure method , parallel computing , programming language , operating system
In this article, the design and development aspects of a compact bio‐potential measuring system, named ExGSense , 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.