Respiratory rate estimation from multilead directions, based on ECG delineation

Breathing rate (BR) is a key physiological parameter used in a range of clinical settings. Despite its diagnostic and prognostic value, it is still widely measured by counting breaths manually. A plethora of algorithms have been proposed to estimate BR from the electrocardiogram (ECG) and pulse oximetry (photoplethysmogram, PPG) signals. These BR algorithms provide opportunity for automated, electronic, and unobtrusive measurement of BR in both healthcare and fitness monitoring. This paper presents a review of the literature on BR estimation from the ECG and PPG. First, the structure of BR algorithms and the mathematical techniques used at each stage are described. Second, the experimental methodologies that have been used to assess the performance of BR algorithms are reviewed, and a methodological framework for the assessment of BR algorithms is presented. Third, we outline the most pressing directions for future research, including the steps required to use BR algorithms in wearable sensors, remote video monitoring, and clinical practice.

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“…• Extract the main direction of the electric heart vector at a specific phase in the cardiac cycle (e.g., T-wave) [165].…”

Section: Table II Feature-based Techniques For Extraction Of Respiratory Signalsmentioning

confidence: 99%

Breathing Rate Estimation From the Electrocardiogram and Photoplethysmogram: A Review

Charlton

Birrenkott

Bonnici

et al. 2018

IEEE Rev. Biomed. Eng.

273

213

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“…Moreover a strong relation between the respiration and the T wave end based Fit directions of maximum projection (FD) used the by multi lead ECG delineation system (ML) was found in [10]. Taking advantage of this relation, in [11] we have been able to estimate r R with good results from the FD used for T wave end delineation. In this study we aim to combine the information based in FD found for the delineation of QRS peak and T wave peak and end to obtain a single r R estimation.…”

mentioning

confidence: 96%

Respiratory Rate Estimation from Multilead ECG Delineation using VCG Directions on Fiducial Points

Noriega

Carcases

Duran

et al. 2016

2016 Computing in Cardiology Conference (CinC)

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The main purpose of this work is the estimation of the respiratory rate (r R ) from the electrocardiogram (ECG). In this study, the r R was estimated from the same Fit directions of maximum projection (FD) used for multi lead ECG automatic delineation (ML). A previously developed and validated methodology for boundaries location was extended to include wave peaks and estimate FD. The median of power spectral density obtained over the directions based on QRS complex main peak, T wave peak and end spatial loops was used for r R estimation. In a control database, the proposed method yielded more accurate r R estimates (mean absolute error (MAE), 2.64 bpm, SD=3.92) than the estimates based on the single-lead ECG R-peak amplitude (MAE values from 3.29 to 5.26 bpm, SD ≥ 5) and RR series (2.89 to 3.66 bpm, SD >4.6), close to results from EDR method (2.89 bpm, SD=3.63). IntroductionDirect estimation of respiratory rate (r R ) is done with devices that are intrusive, expensive and uncomfortable for the patient [1]. Therefore the development of alternative methods for indirect r R estimation is of great interest. The respiratory and heart activities are linked through physiological processes. The respiration modulates the heart rate such that it increases during inspiration and decreases during expiration [2]. In the same way, during the respiratory cycle, chest movements and changes in the thorax impedance distribution due to filling and emptying of the lungs cause a rotation of the electrical axis of the heart which has an effect over beat morphology [3,4]. Different signal processing techniques have been developed to extract respiratory information from the modulation of the ECG R-peak amplitudes (RPA) and heart rate (HR) [4][5][6][7][8]. However, the single-lead RPA and RR series have been shown not to yield accurate r R estimates as the respiratory influence in a given ECG lead is subject dependent [4]. Often, in ambulatory and clinical applications, multilead ECG recordings are available, allowing to construct vectocardiographic (VCG) loops from orthogonal leads. In [4] the series of rotation angles of the heart's electrical axis as induced by respiration are estimated from least-squares loop alignment, and the r R estimated spectrally (EDR). The main directions on the wavelet transform (WT) of VCG loops, taken as parallel to each ECG fiducial point, have been successfully used for multilead delineation of wave boundaries [9]. Moreover a strong relation between the respiration and the T wave end based Fit directions of maximum projection (FD) used the by multi lead ECG delineation system (ML) was found in [10]. Taking advantage of this relation, in [11] we have been able to estimate r R with good results from the FD used for T wave end delineation. In this study we aim to combine the information based in FD found for the delineation of QRS peak and T wave peak and end to obtain a single r R estimation. Methods DataThe data used in this study was a database of ECG signals from healthy subjects recorded at Uni...

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Respiratory rate estimation from multilead directions, based on ECG delineation

Cited by 2 publications

References 18 publications

Breathing Rate Estimation From the Electrocardiogram and Photoplethysmogram: A Review

Breathing Rate Estimation From the Electrocardiogram and Photoplethysmogram: A Review

Respiratory Rate Estimation from Multilead ECG Delineation using VCG Directions on Fiducial Points

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