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s = daq.createSession('ni');
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综上所述，本文介绍了如何使用Matlab进行心电信号的采集和处理。通过使用Data Acquisition Toolbox进行心电信号的采集，并使用信号处理工具箱对信号进行滤波和心率提取，可以方便地对心电信号进行分析和研究。本文将介绍如何使用Matlab进行心电信号的采集和处理，并提供相应的源代码。函数寻找滤波后信号中的峰值，设定峰值的最小高度为0.5，并且相邻峰值之间的最小距离为0.5秒（0.5*fs）。函数将原始心电信号和滤波后的信号以及心率曲线绘制在同一张图上，方便比较和分析。），用于采集心电信号。
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B. Palm", title = "Prediction as a candidate for learning deep hierarchical models of data", year = "2012",}```Contact: rasmusbergpalm at gmail dot comDirectories included in the toolbox-----------------------------------`NN/` - A library for Feedforward Backpropagation Neural Networks`CNN/` - A library for Convolutional Neural Networks`DBN/` - A library for Deep Belief Networks`SAE/` - A library for Stacked Auto-Encoders`CAE/` - A library for Convolutional Auto-Encoders`util/` - Utility functions used by the libraries`data/` - Data used by the examples`tests/` - unit tests to verify toolbox is workingFor references on each library check REFS.mdSetup-----1. 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