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Blind Source Separation of Different Retinal Pulsatile Patterns from Simultaneous Long-term Binocular Ophthalmoscopic Video-records

机译:从长期双眼检眼镜同时录像不同视网膜搏动模式的盲源分离。

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Optical imaging of retinal hemodynamic function is an important part of ophthalmologic research. Development and inventing of imaging devices and data analysis methods are both just in progress. The current study innovatively implements two blind source separation (BSS) techniques (i.e. spatial Principal Component Analysis – sPCA; and spatial Independent Component Analysis – sICA) in application of an automatic detection and segmentation of a distinct Optic Disc (OD) areas with different hemodynamic properties from a simultaneous binocular video-ophthalmoscopic records. Both methods detected 3 different spatial patterns mostly symmetric over both eyes stable and reproducible over investigated participants, i.e. central Spontaneous Vessel Pulsations (SVPs), inner OD intensity pulsations and other OD pulsations. Dynamics of all mentioned patterns has a periodic character with similar main frequency (possibly corresponding to subject-specific heart rate) but shifted phase decreasing patterns’ mutual high cross-correlations. The sICA estimates a higher rate of phase shifts than sPCA.
机译:视网膜血流动力学功能的光学成像是眼科研究的重要组成部分。成像设备和数据分析方法的开发和发明都在进行中。当前的研究创新地实现了两种盲源分离(BSS)技术(即空间主成分分析– sPCA;和空间独立成分分析– sICA)在自动检测和分割具有不同血液动力学的独特视盘(OD)区域中的应用同时双目电视检眼镜记录的特性。两种方法都检测到3种不同的空间模式,这些模式在被调查的参与者中稳定且可重现的双眼大部分都是对称的,即中枢自发性血管搏动(SVP),内部OD强度搏动和其他OD搏动。所有提到的模式的动力学特性都有一个周期性特征,其主频率相似(可能对应于特定对象的心率),但相移减少的模式相互之间具有较高的互相关性。 sICA估计的相移率比sPCA高。

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