Literature DB >> 16777085

A comparison of algorithms for estimation of a respiratory signal from the surface electrocardiogram.

Ciara O'Brien1, Conor Heneghan.   

Abstract

We provide a quantitative comparison between two new methods for deriving a respiratory signal from a single lead electrocardiogram, and the published technique of Behbehani et al. [An investigation of the mean electrical axis angle and respiration during sleep, in: Proceedings of the Second Joint EMBS/BMES Conference Houston, TX, USA, October 2002]. We conclude that (a) single ECG lead methods for estimating the respiratory signal are well correlated with inductance plethysmographs (correlation coefficients of approximately 0.75), (b) single lead estimates are more robust than methods based on the mean electrical axis, (c) body position has little impact on measurement accuracy and (d) single lead respiratory estimates can classify epochs of sleep disordered respiration with approximately 82% accuracy.

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Year:  2006        PMID: 16777085     DOI: 10.1016/j.compbiomed.2006.02.002

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  10 in total

1.  Data Fusion for Improved Respiration Rate Estimation.

Authors:  Shamim Nemati; Atul Malhotra; Gari D Clifford
Journal:  EURASIP J Adv Signal Process       Date:  2010

2.  Hybrid Mock Circulatory Loop Simulation of Extreme Cardiac Events.

Authors:  Ethan S Rapp; Suraj R Pawar; Raul G Longoria
Journal:  IEEE Trans Biomed Eng       Date:  2022-08-19       Impact factor: 4.756

3.  Respiratory Rate Estimation Using U-Net-Based Cascaded Framework From Electrocardiogram and Seismocardiogram Signals.

Authors:  Michael Chan; Venu G Ganti; Omer T Inan
Journal:  IEEE J Biomed Health Inform       Date:  2022-06-03       Impact factor: 7.021

4.  An improved algorithm for respiration signal extraction from electrocardiogram measured by conductive textile electrodes using instantaneous frequency estimation.

Authors:  Sung-Bin Park; Yeon-Sik Noh; Sung-Jun Park; Hyoung-Ro Yoon
Journal:  Med Biol Eng Comput       Date:  2008-01-22       Impact factor: 2.602

Review 5.  Analysis of Heart Rate Variability and Implication of Different Factors on Heart Rate Variability.

Authors:  Reena Tiwari; Ravindra Kumar; Sujata Malik; Tilak Raj; Punit Kumar
Journal:  Curr Cardiol Rev       Date:  2021

6.  Wearable Respiration Monitoring: Interpretable Inference With Context and Sensor Biomarkers.

Authors:  Ridwan Alam; David B Peden; John C Lach
Journal:  IEEE J Biomed Health Inform       Date:  2021-06-04       Impact factor: 7.021

7.  Heart rate variability and occupational stress-systematic review.

Authors:  Susanna Järvelin-Pasanen; Sanna Sinikallio; Mika P Tarvainen
Journal:  Ind Health       Date:  2018-06-16       Impact factor: 2.179

Review 8.  Breathing Rate Estimation From the Electrocardiogram and Photoplethysmogram: A Review.

Authors:  Peter H Charlton; Drew A Birrenkott; Timothy Bonnici; Marco A F Pimentel; Alistair E W Johnson; Jordi Alastruey; Lionel Tarassenko; Peter J Watkinson; Richard Beale; David A Clifton
Journal:  IEEE Rev Biomed Eng       Date:  2017-10-24

9.  Respiration-related variations in Pd/Pa ratio and fractional flow reserve in resting conditions and during intravenous adenosine administration.

Authors:  Rutger G T Feenstra; Martijn A van Lavieren; Mauro Echavarria-Pinto; Gilbert W Wijntjens; Valerie E Stegehuis; Martijn Meuwissen; Robbert J de Winter; Marcel A M Beijk; Amir Lerman; Javier Escaned; Jan J Piek; Tim P van de Hoef
Journal:  Catheter Cardiovasc Interv       Date:  2021-11-12       Impact factor: 2.585

10.  Two proximal skin electrodes--a respiration rate body sensor.

Authors:  Roman Trobec; Aleksandra Rashkovska; Viktor Avbelj
Journal:  Sensors (Basel)       Date:  2012-10-15       Impact factor: 3.576

  10 in total

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