2014
DOI: 10.3109/02713683.2014.905608
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Pulse-Waveform Analysis of Normal Population using Laser Speckle Flowgraphy

Abstract: The significant correlation of LSFG-measured tissue area falling rate with age suggests that it may be a new candidate biomarker for age-dependent microcirculation.

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Cited by 58 publications
(80 citation statements)
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References 39 publications
(54 reference statements)
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“…S1B, left). 30,31 If the waveform is bilaterally symmetrical, the skew will be zero. When the peak of the waveform is shifted leftward, the skew will become higher.…”
Section: Pulse Waveform Analyses On Lsfgmentioning
confidence: 99%
See 2 more Smart Citations
“…S1B, left). 30,31 If the waveform is bilaterally symmetrical, the skew will be zero. When the peak of the waveform is shifted leftward, the skew will become higher.…”
Section: Pulse Waveform Analyses On Lsfgmentioning
confidence: 99%
“…The skew increases as the slope of the waveform after the peak becomes more concave. The skew is calculated as follows 30,31 :…”
Section: Pulse Waveform Analyses On Lsfgmentioning
confidence: 99%
See 1 more Smart Citation
“…However, in a normal population, an earlier study showed that MA was negatively correlated with age, whereas MTwas stable regardless of age. 45 Recently, pulse waveform parameters derived from MBR have been introduced clinically, including skew, blowout score (BOS), rising rate, falling rate, and blowout time (BOT; Figs. 1, 2).…”
mentioning
confidence: 99%
“…29,30,45 Furthermore, multiple regression analysis has revealed that MT falling rate is an independent factor indicating age and conversely, that age is also an independent factor indicating MT falling rate. 45 The significant correlation of MT falling rate with age suggests that it may be a new candidate biomarker for age-dependent microcirculation (Figs. 2, 3).…”
mentioning
confidence: 99%