2016
DOI: 10.1016/j.jclinane.2015.12.022
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Respiratory variation of systolic and diastolic time intervals within radial arterial waveform: a comparison with dynamic preload index

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Cited by 1 publication
(2 citation statements)
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“…Some cardiovascular information may be lost when the respiratory signal is removed. Park et al illustrated that the changes of systolic and diastolic intervals of respiratory signals in the radial pulse wave can reflect the changes of stroke volume and pulse pressure [37]. Wang et al developed an apparatus to detect the heart rate and respiratory rate from the radial PPG, and found that the correlation coefficient could reach 0.97 compared with clinical medical equipment, which is utilized to monitor heart and respiratory rates in routine care [11].…”
Section: ) Baseline Wander Removalmentioning
confidence: 99%
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“…Some cardiovascular information may be lost when the respiratory signal is removed. Park et al illustrated that the changes of systolic and diastolic intervals of respiratory signals in the radial pulse wave can reflect the changes of stroke volume and pulse pressure [37]. Wang et al developed an apparatus to detect the heart rate and respiratory rate from the radial PPG, and found that the correlation coefficient could reach 0.97 compared with clinical medical equipment, which is utilized to monitor heart and respiratory rates in routine care [11].…”
Section: ) Baseline Wander Removalmentioning
confidence: 99%
“…It is difficult to accurately extract the waveform features and describe the morphological changes. To obtain a corruption-free and more stable radial signal, the waveform preprocessing can not only reduce the interference components [28][29][30][31][32][33], but should also analyze the morphology of radial pulse waves over a long period [34][35][36][37][38]. The purpose of feature extraction is to analyze the information represented by radial pulse waves.…”
mentioning
confidence: 99%