Variability of Microcirculation Detected by Blood Pulsation Imaging

Kamshilin, Alexei A.; Teplov, Victor; Nippolainen, Ervin; Miridonov, Serguei V.; Giniatullin, Rashid

doi:10.1371/journal.pone.0057117

Cited by 55 publications

(52 citation statements)

References 24 publications

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“…As we showed recently, the amplitude of blood pulsations measured by the BPI system is related with the blood perfusion [17]. Indeed, the low perfusion is associated with low amplitude of blood pulsations and high perfusion can be achieved only when the pulsations of the blood are high because the blood is transported due to heart-driven hydraulic pulses [35].…”

Section: Discussionmentioning

confidence: 99%

Asynchronicity of Facial Blood Perfusion in Migraine

Zaproudina

Teplov²,

Nippolainen³

et al. 2013

PLoS ONE

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Asymmetrical changes in blood perfusion and asynchronous blood supply to head tissues likely contribute to migraine pathophysiology. Imaging was widely used in order to understand hemodynamic variations in migraine. However, mapping of blood pulsations in the face of migraineurs has not been performed so far. We used the Blood Pulsation Imaging (BPI) technique, which was recently developed in our group, to establish whether 2D-imaging of blood pulsations parameters can reveal new biomarkers of migraine. BPI characteristics were measured in migraineurs during the attack-free interval and compared to healthy subjects with and without a family history of migraine. We found a novel phenomenon of transverse waves of facial blood perfusion in migraineurs in contrast to healthy subjects who showed synchronous blood delivery to both sides of the face. Moreover, the amplitude of blood pulsations was symmetrically distributed over the face of healthy subjects, but asymmetrically in migraineurs and subjects with a family history of migraine. In the migraine patients we found a remarkable correlation between the side of unilateral headache and the direction of the blood perfusion wave. Our data suggest that migraine is associated with lateralization of blood perfusion and asynchronous blood pulsations in the facial area, which could be due to essential dysfunction of the autonomic vascular control in the face. These findings may further enhance our understanding of migraine pathophysiology and suggest new easily available biomarkers of this pathology.

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Section: Discussionmentioning

confidence: 99%

Asynchronicity of Facial Blood Perfusion in Migraine

Zaproudina

Teplov²,

Nippolainen³

et al. 2013

PLoS ONE

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“…The correlation prior maps were aligned relative to a template and projected into a 2-D space, and spatially aggregated (3). A 2-D kernel density estimation method was used in this space (4) to generate the data-driven continuous probabilistic pulsatility model (5). Extracting a blood pulse waveform using the probabilistic pulsatility model.…”

Section: Figmentioning

confidence: 99%

Spatial probabilistic pulsatility model for enhancing photoplethysmographic imaging systems

2016

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Abstract. Photolethysmographic imaging (PPGI) is a widefield non-contact biophotonic technology able to remotely monitor cardiovascular function over anatomical areas. Though spatial context can provide increased physiological insight, existing PPGI systems rely on coarse spatial averaging with no anatomical priors for assessing arterial pulsatility. Here, we developed a continuous probabilistic pulsatility model for importance-weighted blood pulse waveform extraction. Using a data-driven approach, the model was constructed using a 23 participant sample with large demographic variation (11/12 female/male, age 11-60 years, BMI 16.4-35.1 kg·m −2 ). Using time-synchronized groundtruth waveforms, spatial correlation priors were computed and projected into a co-aligned importance-weighted Cartesian space. A modified Parzen-Rosenblatt kernel density estimation method was used to compute the continuous resolution-agnostic probabilistic pulsatility model. The model identified locations that consistently exhibited pulsatility across the sample. Blood pulse waveform signals extracted with the model exhibited significantly stronger temporal correlation (W = 35, p < 0.01) and spectral SNR (W = 31, p < 0.01) compared to uniform spatial averaging. Heart rate estimation was in strong agreement with true heart rate (r 2 = 0.9619, error (µ, σ) = (0.52, 1.69) bpm).

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“…However, all these techniques (including ECG) require contacts to the body, which is often inconvenient thus motivating the researchers to seek simpler techniques of blood pulsations monitoring. Recently, video based or imaging photoplethysmography (IPPG) was introduced as a technique for distant measurement and monitoring of cardiovascular functions [13][14][15][16]. This method became very popular among researchers because of its ease of use and potentially low cost.…”

Section: Introductionmentioning

confidence: 99%

\Accurate measurement of the pulse wave delay with imaging photoplethysmography

Kamshilin

Sidorov

Babayan

et al. 2016

Biomed. Opt. Express

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Assessment of the cardiovascular parameters using noncontact video-based or imaging photoplethysmography (IPPG) is usually considered as inaccurate because of strong influence of motion artefacts. To optimize this technique we performed a simultaneous recording of electrocardiogram and video frames of the face for 36 healthy volunteers. We found that signal disturbances originate mainly from the stochastically enhanced dichroic notch caused by endogenous cardiovascular mechanisms, with smaller contribution of the motion artefacts. Our properly designed algorithm allowed us to increase accuracy of the pulse-transit-time measurement and visualize propagation of the pulse wave in the facial region. Thus, the accurate measurement of the pulse wave parameters with this technique suggests a sensitive approach to assess local regulation of microcirculation in various physiological and pathological states.

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Variability of Microcirculation Detected by Blood Pulsation Imaging

Cited by 55 publications

References 24 publications

Asynchronicity of Facial Blood Perfusion in Migraine

Asynchronicity of Facial Blood Perfusion in Migraine

Spatial probabilistic pulsatility model for enhancing photoplethysmographic imaging systems

\Accurate measurement of the pulse wave delay with imaging photoplethysmography

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