期刊
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
卷 72, 期 1, 页码 21-26出版社
ELSEVIER IRELAND LTD
DOI: 10.1016/S0169-2607(02)00114-1
关键词
peak localization; myofibril; sarcomere length
We present a new peak-detection algorithm based on the method of minimum average risk proposed by Kolmogorov and developed for signal processing in various fields. In this method, translations of features within a signal scan are quantified by minimizing the integrated pointwise product of each scan relative to the first derivative of the immediately previous scan. We have adapted this method for use in a new algorithm to monitor dynamic changes of sarcomere length in single myofibrillar sarcomeres of striated muscles, but the algorithm can also be used more generally for peak localization. We find that this method results in sub-manometer precision and higher signal-to-noise ratio than current methods. At an equal noise level, the RMS deviation of the minimum average risk algorithm was 1.3 times lower than that of the center of mass method with modeled data and 3-4 times lower with actual data. (C) 2002 Elsevier Science Ireland Ltd. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据