Literature DB >> 18188703

Estimation of breathing rate from respiratory sinus arrhythmia: comparison of various methods.

Axel Schäfer1, Karl W Kratky.   

Abstract

Although respiratory sinus arrhythmia (RSA) is a well-known and often studied phenomenon, methods to estimate (average) respiratory rate from heart rate variability via RSA have been investigated and published only sparsely. We reinvestigate three published techniques and contrast them to our own approaches. All methods were also evaluated for respiration signals to yield approximations of the true breathing rate for comparison. Our analyses are based on physiological recordings available at PhysioNet, an online database. Results show that the RSA of young supine subjects yields good approximations of mean respiratory rate in the case of time series longer than 1 min, while the estimations become noticeably less accurate for elderly persons. Our own "advanced counting method" produced the best results, and in addition principally permits even the definition of instantaneous respiratory rates. Consequently, it is recommended for further investigations.

Entities:  

Mesh:

Year:  2008        PMID: 18188703     DOI: 10.1007/s10439-007-9428-1

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  12 in total

1.  Breathing rate and heart rate as confounding factors in measuring T wave alternans and morphological variability in ECG.

Authors:  Ismail Sadiq; Erick A Perez-Alday; Amit J Shah; Gari D Clifford
Journal:  Physiol Meas       Date:  2021-02-06       Impact factor: 2.688

Review 2.  Continuous remote monitoring of COPD patients-justification and explanation of the requirements and a survey of the available technologies.

Authors:  Ivan Tomasic; Nikica Tomasic; Roman Trobec; Miroslav Krpan; Tomislav Kelava
Journal:  Med Biol Eng Comput       Date:  2018-03-05       Impact factor: 2.602

3.  Design Rationale and Performance Evaluation of the Wavelet Health Wristband: Benchtop Validation of a Wrist-Worn Physiological Signal Recorder.

Authors:  Onur Dur; Reinier van Mourik; Colleen Rhoades; Man Suen Ng; Ragwa Elsayed; Maulik D Majmudar
Journal:  JMIR Mhealth Uhealth       Date:  2018-10-16       Impact factor: 4.773

4.  Physiological and Psychological Effects of Forest and Urban Sounds Using High-Resolution Sound Sources.

Authors:  Hyunju Jo; Chorong Song; Harumi Ikei; Seiya Enomoto; Hiromitsu Kobayashi; Yoshifumi Miyazaki
Journal:  Int J Environ Res Public Health       Date:  2019-07-24       Impact factor: 3.390

5.  Model-Predicted Balance Between Neural Excitation and Inhibition Was Maintained Despite of Age-Related Decline in Sensory Evoked Local Field Potential in Rat Barrel Cortex.

Authors:  Sungmin Kang; Yurie Hayashi; Michael Bruyns-Haylett; Evangelos Delivopoulos; Ying Zheng
Journal:  Front Syst Neurosci       Date:  2020-05-13

Review 6.  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

7.  Artefact Detection in Impedance Pneumography Signals: A Machine Learning Approach.

Authors:  Jonathan Moeyersons; John Morales; Nick Seeuws; Chris Van Hoof; Evelien Hermeling; Willemijn Groenendaal; Rik Willems; Sabine Van Huffel; Carolina Varon
Journal:  Sensors (Basel)       Date:  2021-04-08       Impact factor: 3.576

8.  An assessment of algorithms to estimate respiratory rate from the electrocardiogram and photoplethysmogram.

Authors:  Peter H Charlton; Timothy Bonnici; Lionel Tarassenko; David A Clifton; Richard Beale; Peter J Watkinson
Journal:  Physiol Meas       Date:  2016-03-30       Impact factor: 2.833

9.  Spectral fusion-based breathing frequency estimation; experiment on activities of daily living.

Authors:  Iman Alikhani; Kai Noponen; Arto Hautala; Rahel Ammann; Tapio Seppänen
Journal:  Biomed Eng Online       Date:  2018-07-27       Impact factor: 2.819

10.  Breathing Rate Estimation from Head-Worn Photoplethysmography Sensor Data Using Machine Learning.

Authors:  Simon Stankoski; Ivana Kiprijanovska; Ifigeneia Mavridou; Charles Nduka; Hristijan Gjoreski; Martin Gjoreski
Journal:  Sensors (Basel)       Date:  2022-03-08       Impact factor: 3.576

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.