NDLI: Using electromechanical signals recorded from the body for respiratory phase detection and respiratory time estimation: A comparative study

Content Provider	IEEE Xplore Digital Library
Author	Alamdari, Nasim Tavakolian, Kouhyar Zakeri, Vahid Fazel-Rezai, Reza Paukkunen, Mikko Sepponen, Raimo Akhbardeh, Alireza
Copyright Year	2015
Description	Author affiliation: Heart Force Medical Inc., Vancouver, British Colombia, Canada (Zakeri, Vahid) \|\| Aalto University, Espoo, Finland (Sepponen, Raimo) \|\| Johns Hopkins University, Baltimore, Maryland, USA (Akhbardeh, Alireza) \|\| University of North Dakota, Grand Forks, USA (Alamdari, Nasim; Tavakolian, Kouhyar; Fazel-Rezai, Reza) \|\| HeartLight Systems Ltd, Derby, United Kingdom (Paukkunen, Mikko)
Abstract	Electrocardiogram derived respiratory (EDR) is a non-invasive technique to estimate respiratory signal. As an alternative, recent studies suggest using Seismocardiogram to estimate respiratory signal, so called accelerometer derived respiration (ADR). In this study we compared the performance of ADR and EDR in precise detection of respiration phases (inhale and exhale timing). We also compared time lag between breath cycles extracted by use of ADR and EDR, and ground truth (respiratory signal recorded using chest band strain gauge). For this comparative analysis, Seismocardiogram, Single lead electrocardiogram (Lead II), and respiratory signal (using a chest band strain gauge) were recorded from 19 healthy subjects. Principal component analysis (PCA) and envelope detection methods are used to compute EDR and ADR. Initial results show that ADR in z-direction (back to front) seems promising approach in addition to the EDR with accuracy of above 85% in identifying respiration phases (inhale and exhale). 87% of breath cycles extracted from ADR had acceptable time lag compared to ground truth (respiratory signal recorded using a chest band strain gauge). ADR was able to correctly classify heartbeats to inhale and exhale classes with classification accuracy of around 76%.
Starting Page	65
Ending Page	68
File Size	623572
Page Count	4
File Format	PDF
ISBN	9781509006854
ISSN	2325887X
e-ISBN	9781509006847
DOI	10.1109/CIC.2015.7408587
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-06
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Creative Commons Attribution License 2.5 (CCAL)
Subject Keyword	Heart Accelerometers Lead Resists Standards Manuals MATLAB
Content Type	Text
Resource Type	Article
Subject	Computer Science Cardiology and Cardiovascular Medicine

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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