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toolbox_fast_marching

于 2011-11-10 发布文件大小:1334KB

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The method mainly consists in considering a reference normal ECG segment and input ECG (unknown behavior) segment. Each segment of the input ECG T is compared to the reference segment using SEA. The SEA method outputs a measure in the range [0..1] in terms of the correlation factor that reflects the degree of similarity between the reference and the segment under analysis. Based on this measure, the whole segment is classified as normal or abnormal. A user specified threshold value on the correlation factor c is used for decision

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toolbox_fast_marching

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