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An energy detector based on negative energy fluctuations coupled with sub-band decomposition as a robust micro-embolus detection system

机译:基于负能量波动并结合子带分解的能量检测器,作为鲁棒的微栓塞检测系统

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Robust detection of the smallest circulating cerebral micro-emboli is an efficient way of preventing Cerebrovascular Accidents. Transcranial Doppler ultrasound is widely considered as the most convenient system for the detection of micro-emboli. Commercially realized standard detection is achieved through the whole Doppler energy spectrum where constant empirical thresholds are implemented. In this study, we propose a new type of micro-embolic detectors composed of N detectors associated to N Doppler frequency sub-bands. Moreover, we couple this sub-band decomposition with an original detection method. The N sub-band energy detectors are built from negative fluctuations of energy. From a training phase, we find that 4 sub-band decomposition allows obtaining the best results considering both the detection rate and the false alarm rate. The new sub-band detection coupled with energy detectors based from negative energy fluctuations allow increasing the detection rate up to 93% and the micro-embolus relative intensity increase from up to 23 dB. Moreover, the false alarm rate is reduced to around only 6%.
机译:对最小的循环中的脑微栓塞进行有力的检测是预防脑血管意外的有效方法。经颅多普勒超声被广泛认为是检测微栓子最方便的系统。商业实现的标准检测是通过整个多普勒能谱实现的,其中实现了恒定的经验阈值。在这项研究中,我们提出了一种新型的微栓塞探测器,该探测器由与N个多普勒频率子带相关的N个探测器组成。此外,我们将此子带分解与原始检测方法结合在一起。 N个子带能量检测器由能量的负波动构成。从训练阶段,我们发现4个子带分解可以同时考虑检测率和虚警率来获得最佳结果。新的子带检测与基于负能量波动的能量检测器相结合,可以将检测率提高到93%,微微浮雕的相对强度也可以提高到23 dB。此外,错误警报率降低到仅约6%。

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