Evaluation of the function of arteriolar opening by variability in microcirculatory blood flow following angiotensin II administration in rats

Hsiu, Hsin; Huang, Shih-Min A.; Hsu, Tse-Lin

doi:10.3233/bir-2010-0573

Cited by 12 publications

(7 citation statements)

References 42 publications

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“…In frequency-domain BPW analysis, it has been suggested that individual vascular beds exert independent, frequency-specific, and linearly additive effects on the peripheral pressure wave, and hence that harmonic analysis of the BPW could elucidate the physical status of specific vascular beds [11]. This illustrates the possible relation between harmonic components within BPW and the peripheral blood supply [2], [12]- [14].…”

Section: Discussionmentioning

confidence: 99%

Correlation of Harmonic Components between the Blood Pressure and Photoplethysmography Waveforms Following Local-Heating Stimulation

Hsiu¹,

Hsu²,

Chen³

et al. 2012

IJBBB

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Section: Discussionmentioning

confidence: 99%

Correlation of Harmonic Components between the Blood Pressure and Photoplethysmography Waveforms Following Local-Heating Stimulation

Hsiu¹,

Hsu²,

Chen³

et al. 2012

IJBBB

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“…Therefore the pulsatile LDF waveform may provide a tool for analyzing the blood-flow conditions at local vascular beds induced by various types of stimulation [7,10]. Among the present analyzed time-domain waveform indexes, PW represents the injection period via AO of the peripheral vascular beds during beat-to-beat MBF perfusion [10,12]. An increased PW for each pulse might therefore be associated with the longer injection period of AO.…”

Section: Time-domain Ldf Waveform Analysismentioning

confidence: 93%

“…During each 20-min measurement period, the AC component of the flux (ACflux) was defined as the mean value of the LDF pulse component, the ADflux defined as the mean value of the ratio between the LDF pulse component and the mean component (i.e., the ACflux to DCflux ratio), the flow rise time (FRT) defined as the average time interval between the foot point and the peak point of the LDF signal, and the pulse width (PW) defined as the average time interval between the 80% rising and falling points (i.e., the points at which the flux was 80% of the pulse peak on the rising and falling edges, respectively)7,9. The MBFV index, defined as the coefficient of variation, DCCV (mean ± SD) of the mean component of all the pulses during the 20-min period [11,12], could then be calculated.…”

Section: Signal Analysismentioning

confidence: 99%

“…At the microcirculatory level, changes in MBFV parameters can be attributed to various microcirculatory regulatory mechanisms acting on the on-off tuning activities of AO, and these might be useful for evaluating cardiovascular regulatory activity. For example, applying local-heating stimulation to humans and administering angiotensin II to rats has revealed significant correlations between changes in MBF supply and the beat-to-beat MBFV parameters, which suggests a connection between such parameters and the terminal MBF supply [11,12]. Beat-to-beat MBFV analysis could therefore be useful when developing and evaluating treatment techniques aimed at improving microcirculatory perfusion.…”

Section: Mbfv (Microcirculatory Blood Flow Variability)mentioning

confidence: 99%

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Effects of Electroacupuncture Stimulation at Frequencies near the Heart Rate on the Microcirculatory Blood Flow

Lin¹,

Hsiu²,

Lin³

et al. 2015

ujbe

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Motivation: The frequency of electroacupuncture (EA) could substantially influence the induced response. We compared the effects of EA at frequencies at around the heart rate (HR) and 50%-higher-than-HR frequency on the microcirculatory blood flow (MBF). Methods: Skin-surface laser Doppler measurements were performed in healthy volunteers in three groups: (1) Group A (n=14), premeasurement-HR-frequency EA was applied; and (2) Group B (n=13), 50%-higher-than-HR-frequency EA. (3) Group C (n=16), no EA was applied. Each experiment involved recording a 20-min baseline-data sequence followed by an effect-data sequence obtained at 0-20 min after stopping 20 min of 0.08-mA EA. Results: Beat-to-beat time-domain waveform analysis (including the pulse width, flow rise time, and microcirculatory blood-flow variability) revealed that following EA, the MBF supply at the stimulated site was improved in both groups, and that the MBF perfusion through arteriolar openings appeared to be more efficient in Group A than in Group B. Conclusion: The obtained data may help to establish a new noninvasive method for studying the mechanisms underlying the MBF response induced by EA.

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“…Similarly, variability indexes for the MBF supply might also be suitable for monitoring the microcirculatory regulatory activities in local vascular beds. Changes in MBF variability parameters have been suggested to be related to the adjustment effort of the cardiovascular system when it is stimulated in different ways [17,18]. Significant differences in MBF variability parameters have been found between normal control subjects and patients with various types of diseases, including stroke and diabetes [4,5].…”

Section: Complexitymentioning

confidence: 99%

Using Complexity and Spectral Analyses of Noninvasive LDF Signals in Patients with Metabolic Syndrome

Hsiu

Chang

2018

Complexity

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This study performed skin-surface measurements with the aim of verifying if complexity and spectral analyses applied to laser-Doppler-flowmetry (LDF) signals can be used to discriminate control subjects and patients with metabolic syndrome (MetS) and patients with premetabolic syndrome (pre-MetS). The study participants (n=142) were assigned to three age-matched groups based on the application of MetS criteria. Beat-to-beat analysis was performed to obtain the mean blood flow (DC), and then approximate entropy (ApEn) values for the 10-minute DC sequences (DC_ApEn) were calculated to evaluate the signal complexity. The wavelet transform was applied and yielded periodic oscillations with five characteristic frequency peaks (defined as FR1–FR5) whose relative energy contributions (RECs) were calculated. DC_ApEn was significantly smaller in MetS and pre-MetS (with one or two Mets factors) patients than in controls, whereas there were no significant differences in DC. The REC of FR1 was significantly smaller while the REC of FR4 was significantly larger in pre-MetS than in MetS. These results indicate the presence of significant differences in ApEn and spectral indexes, which may be partly attributable to changes in microcirculatory regulatory activities accompanying the progression of MetS. The present findings may be pertinent to the early detection of the microcirculatory impairments associated with MetS.

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Evaluation of the function of arteriolar opening by variability in microcirculatory blood flow following angiotensin II administration in rats

Cited by 12 publications

References 42 publications

Correlation of Harmonic Components between the Blood Pressure and Photoplethysmography Waveforms Following Local-Heating Stimulation

Correlation of Harmonic Components between the Blood Pressure and Photoplethysmography Waveforms Following Local-Heating Stimulation

Effects of Electroacupuncture Stimulation at Frequencies near the Heart Rate on the Microcirculatory Blood Flow

Using Complexity and Spectral Analyses of Noninvasive LDF Signals in Patients with Metabolic Syndrome

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