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"Sensors (Basel)" Category Publications:

Title Authors PubMed ID
1 On the Impact of Biceps Muscle Fatigue in Human Activity Recognition. Elshafei M, Costa DE, Shihab E 33557239
ENCS
2 Towards Detecting Biceps Muscle Fatigue in Gym Activity Using Wearables. Elshafei M, Shihab E 33498702
ENCS
3 Finite Element Modelling of Bandgap Engineered Graphene FET with the Application in Sensing Methanethiol Biomarker. Singh P, Abedini Sohi P, Kahrizi M 33467459
ENCS
4 A Benchmark of Data Stream Classification for Human Activity Recognition on Connected Objects. Khannouz M; Glatard T; 33202905
ENCS
5 Contactless Capacitive Electrocardiography Using Hybrid Flexible Printed Electrodes. Lessard-Tremblay M, Weeks J, Morelli L, Cowan G, Gagnon G, Zednik RJ 32927651
ENCS
6 Determining the Optimal Restricted Driving Zone Using Genetic Algorithm in a Smart City. Azami P, Jan T, Iranmanesh S, Ameri Sianaki O, Hajiebrahimi S 32316356
ENCS
7 A Quantitative Comparison of Overlapping and Non-Overlapping Sliding Windows for Human Activity Recognition Using Inertial Sensors. Dehghani A, Sarbishei O, Glatard T, Shihab E 31752158
ENCS
8 Characterization and Efficient Management of Big Data in IoT-Driven Smart City Development. Alsaig A, Alagar V, Chammaa Z, Shiri N 31141899
CONCORDIA
9 A Crowdsensing Based Analytical Framework for Perceptional Degradation of OTT Web Browsing. Li K, Wang H, Xu X, Du Y, Liu Y, Ahmad MO 29762493
ENCS
10 Fast Feature-Preserving Approach to Carpal Bone Surface Denoising. Salim I, Hamza AB 30037109
ENCS
11 Big Data-Driven Cellular Information Detection and Coverage Identification. Wang H, Xie S, Li K, Ahmad MO 30813353
ENCS
12 Surface Profiling and Core Evaluation of Aluminum Honeycomb Sandwich Aircraft Panels Using Multi-Frequency Eddy Current Testing. Reyno T, Underhill PR, Krause TW, Marsden C, Wowk D 28906434
PHYSICS

 

Title:Contactless Capacitive Electrocardiography Using Hybrid Flexible Printed Electrodes.
Authors:Lessard-Tremblay MWeeks JMorelli LCowan GGagnon GZednik RJ
Link:https://www.ncbi.nlm.nih.gov/pubmed/32927651
DOI:10.3390/s20185156
Publication:Sensors (Basel, Switzerland)
Keywords:capacitive electrocardiographyelectrode designflexible hybrid electronicsprinted electronicswearables
PMID:32927651 Category:Sensors (Basel) Date Added:2020-09-16
Dept Affiliation: ENCS
1 École de Technologie Supérieure (ÉTS), Université du Québec, Montréal, QC H3C 1K3, Canada.
2 SIG.NUM Preemptive Healthcare, Inc., Montréal, QC H3K 1G6, Canada.
3 Department of Electrical and Computer Engineering, Concordia University, Montréal, QC H3G 1M8, Canada.

Description:

Contactless Capacitive Electrocardiography Using Hybrid Flexible Printed Electrodes.

Sensors (Basel). 2020 Sep 10; 20(18):

Authors: Lessard-Tremblay M, Weeks J, Morelli L, Cowan G, Gagnon G, Zednik RJ

Abstract

Traditional capacitive electrocardiogram (cECG) electrodes suffer from limited patient comfort, difficulty of disinfection and low signal-to-noise ratio in addition to the challenge of integrating them in wearables. A novel hybrid flexible cECG electrode was developed that offers high versatility in the integration method, is well suited for large-scale manufacturing, is easy to disinfect in clinical settings and exhibits better performance over a comparable rigid contactless electrode. The novel flexible electrode meets the frequency requirement for clinically important QRS complex detection (0.67-5 Hz) and its performance is improved over rigid contactless electrode across all measured metrics as it maintains lower cut-off frequency, higher source capacitance and higher pass-band gain when characterized over a wide spectrum of patient morphologies. The results presented in this article suggest that the novel flexible electrode could be used in a medical device for cECG acquisition and medical diagnosis. The novel design proves also to be less sensitive to motion than a reference rigid electrode. We therefore anticipate it can represent an important step towards improving the repeatability of cECG methods while requiring less post-processing. This would help making cECG a viable method for remote cardiac health monitoring.

PMID: 32927651 [PubMed - in process]





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