A Robust Method for ECG-Based Estimation of the Respiratory Frequency During Stress Testing

Bailón, Raquel; Sörnmo, Leif; Laguna, Pablo

doi:10.1109/tbme.2006.871888

Cited by 148 publications

(137 citation statements)

References 29 publications

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“…An alternative approach is to refine analysis techniques to ensure they remain accurate even when using low quality data. For instance, in [26] an algorithm is presented for estimation of RR from the ECG during exercise, when the signal is likely to be of low quality.…”

Section: Discussionmentioning

confidence: 99%

Waveform Analysis to Estimate Respiratory Rate

Charlton

Villarroel

Salguiero

2016

Secondary Analysis of Electronic Health Records

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Section: Discussionmentioning

confidence: 99%

Waveform Analysis to Estimate Respiratory Rate

Charlton

Villarroel

Salguiero

2016

Secondary Analysis of Electronic Health Records

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“…Processing of electrocardiograms (ECGs) is mostly done in frequency or time-frequency domain, e.g. extraction of respiratory frequency from ECGs in the analysis of heart rate variability [16]. The regular breathing frequency is between 10 and 20 breaths/min (0.17 and 0.33 Hz respectively) [17].…”

Section: Methodsmentioning

confidence: 99%

Respiratory motion influence on catheter contact force during radio frequency ablation procedures

et al. 2013

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Abstract. Minimally invasive catheter ablation is a common treatment option for atrial fibrillation. A common treatment strategy is pulmonary vein isolation. In this case, individual ablation points need to be placed around the ostia of the pulmonary veins attached to the left atrium to generate transmural lesions and thereby block electric signals. To achieve a durable transmural lesion, the tip of the catheter has to be stable with a sufficient tissue contact during radio-frequency ablation. Besides the steerable interface operated by the physician, the movement of the catheter is also influenced by the heart and breathing motion -particularly during ablation. In this paper we investigate the influence of breathing motion on different areas of the endocardium during radio frequency ablation. To this end, we analyze the frequency spectrum of the continuous catheter contact force to identify areas with increased breathing motion using a classification method. This approach has been applied to clinical patient data acquired during three pulmonary vein isolation procedures. Initial findings show that motion due to respiration is more pronounced at the roof and around the right pulmonary veins.Keywords: Radiofrequency Ablation, Contact Force, Respiratory Motion, Electrophysiology MOTIVATIONRadio frequency (RF) ablation is a common treatment option for atrial fibrillation (Afib) [1]. Afib is a heart arrhythmia affecting the left atrium. In contrast to the regular sinus rhythm, irregular electric signals circle within the left atrium. For paroxysmal Afib, the isolation of the pulmonary veins, attached to the left atrium, is the main goal [2]. Ablation lesions need to be placed on the endocardium of the left atrium to block the electric signals. These lesions need to be transmural and form a contiguous line to ensure durable signal block [3]. The actual effective ablation energy per lesion may, however, not only depend on the RF generator settings but also on their respective position. There are several motion patterns present during the intervention that affect an ablation site. Besides overall patient motion, cardiac and respiratory motion also effect the position and deformation of the left atrium [4]. During regular breathing a mean movement of the pulmonary veins of about 1.9 cm has been reported [5]. This movement also affects the RF ablation catheter. Klemm et al. investigated the catheter motion due to heart beat and respiration at different positions around the left atrium, with respiration as the major source of relative motion [6]. This study was performed using a 3-D mapping system.Catheter ablations are commonly performed, at least in part, under fluoroscopic guidance. Fluoroscopic images for a cardiac ablation procedure are shown in Figure 1 for a bi-plane X-ray system. Regular X-ray imaging offers low soft-tissue contrast, therefore new approaches using

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“…An outlier rejection rule based on median absolute deviation was applied [13] and the signals were sampled at 4Hz using the cubic spline interpolation. A band-pass filter was applied with the cutoff frequencies f 1 = 0.075 and f 2 = 1Hz.…”

Section: Derived Respiration Signalsmentioning

confidence: 99%

Respiratory Rate Detection Using a Camera as Contactless Sensor

Iozzia¹,

Lázaro²,

Gil³

et al. 2017

Computing in Cardiology Conference (CinC)

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Aim of this study is to extract near-continuously respiratory rate by a contactless method. An industrial camera was used to record subjects face. Video data were processed offline to derive the video-photoplethysmographic (videoPPG) signal. Three features were extracted from videoPPG and finger PPG signal: pulse rate variability (PRV), pulse amplitude variability (PAV) and pulse width variability (PWV). A combination of these methods has been exploited to estimate the respiratory rate for each time window of 5 second. The results showed relative error with median around 0.5% and interquartile range of 5% both for finger PPG and videoPPG system.

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A Robust Method for ECG-Based Estimation of the Respiratory Frequency During Stress Testing

Cited by 148 publications

References 29 publications

Waveform Analysis to Estimate Respiratory Rate

Waveform Analysis to Estimate Respiratory Rate

Respiratory motion influence on catheter contact force during radio frequency ablation procedures

Respiratory Rate Detection Using a Camera as Contactless Sensor

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