Comments on: Classify ECG Signals Using LSTM Networks https://blogs.mathworks.com/deep-learning/2018/08/06/classify-ecg-signals-using-lstm-networks/?s_tid=feedtopost Johanna specializes in deep learning and computer vision. Her goal is to give insight into deep learning through code examples, developer Q&As, and tips and tricks using MATLAB. Tue, 06 Apr 2021 19:51:45 +0000 hourly 1 https://wordpress.org/?v=6.2.2 By: Rebecca Stout https://blogs.mathworks.com/deep-learning/2018/08/06/classify-ecg-signals-using-lstm-networks/#comment-2608 Mon, 05 Aug 2019 20:20:26 +0000 https://blogs.mathworks.com/deep-learning/?p=485#comment-2608 Will this work on R2018a?

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By: Tim. L https://blogs.mathworks.com/deep-learning/2018/08/06/classify-ecg-signals-using-lstm-networks/#comment-1142 Sun, 17 Feb 2019 21:58:02 +0000 https://blogs.mathworks.com/deep-learning/?p=485#comment-1142 Hi I’m kind of new to Matlab. In your feature extraction section, I didn’t see you define time window parameters yet the data dimension changed from 9000 to 255. Is this default by Matlab or I can change it somewhere. Thanks~

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By: Zhou https://blogs.mathworks.com/deep-learning/2018/08/06/classify-ecg-signals-using-lstm-networks/#comment-1138 Sun, 17 Feb 2019 02:48:20 +0000 https://blogs.mathworks.com/deep-learning/?p=485#comment-1138 But where is the the ReadPhysionetData script? I never can fine this script. Could you please tell me. Otherwise I can’t run this program.

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By: Sujit Roy https://blogs.mathworks.com/deep-learning/2018/08/06/classify-ecg-signals-using-lstm-networks/#comment-1036 Wed, 16 Jan 2019 18:06:32 +0000 https://blogs.mathworks.com/deep-learning/?p=485#comment-1036 Please change your heading, it says EEG not ECG. Both are different signals.

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By: Seyed Yahya Shirazi https://blogs.mathworks.com/deep-learning/2018/08/06/classify-ecg-signals-using-lstm-networks/#comment-699 Sat, 15 Dec 2018 23:34:31 +0000 https://blogs.mathworks.com/deep-learning/?p=485#comment-699 The title of the post does not seem to be correct. Data is just ECG, but the title reads EEG. Do you mind changing your title, please?

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By: Stuart Whipp https://blogs.mathworks.com/deep-learning/2018/08/06/classify-ecg-signals-using-lstm-networks/#comment-670 Wed, 05 Dec 2018 16:25:37 +0000 https://blogs.mathworks.com/deep-learning/?p=485#comment-670 If you check link below…I’ve provided a function for showing LSTM/BILSTM activations.
https://uk.mathworks.com/matlabcentral/answers/405019-why-matlab-does-not-provide-activations-function-for-recurrent-neural-networks
‘last’ and ‘sequence’ is deciding whether the layer outputs the entire time sequence to the next network layer… or only the final value from the end of the LSTM modules is fed onto the next layer. What this essentially boils down to: do you want your network to output a time sequence (or classify throughout an entire sequence) or do you want it to output one scalar value for regression/output one class for an entire sequence classification problem.

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By: daodinhnam https://blogs.mathworks.com/deep-learning/2018/08/06/classify-ecg-signals-using-lstm-networks/#comment-648 Fri, 30 Nov 2018 02:30:28 +0000 https://blogs.mathworks.com/deep-learning/?p=485#comment-648 Hello. I want to run your program. But I have a problem at PhysionetData.mat file I can not get that file to my computer. Please help me. Thank you

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By: Alessio Izzo https://blogs.mathworks.com/deep-learning/2018/08/06/classify-ecg-signals-using-lstm-networks/#comment-455 Thu, 20 Sep 2018 14:06:41 +0000 https://blogs.mathworks.com/deep-learning/?p=485#comment-455 Hello, I am doing a similar research using LSTM for sequence-to-label classification purpose. It works pretty goog, but Iam strugling to understand how it works. In particular I would like to understand how the input data areprocessed into the bilstm layer, and what’s the output of this layer. Moreover, I would like to understand even the difference between the OutputMode ‘sequence’ and ‘last’. Do you have any idea? From the matlab help it looks like a single sample of the input array X (of dimension 1xN) goes through a single LSTM unit, but I am pretty sure I am wrong. Kind regards in advance

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By: Steve Eddins https://blogs.mathworks.com/deep-learning/2018/08/06/classify-ecg-signals-using-lstm-networks/#comment-381 Thu, 23 Aug 2018 13:29:53 +0000 https://blogs.mathworks.com/deep-learning/?p=485#comment-381 Yazan—The ECG signals in the dataset were sampled at 300 Hz. See the code line:

fs = 300;
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By: Yazan Gharaibeh https://blogs.mathworks.com/deep-learning/2018/08/06/classify-ecg-signals-using-lstm-networks/#comment-379 Wed, 22 Aug 2018 22:01:13 +0000 https://blogs.mathworks.com/deep-learning/?p=485#comment-379 how did you define the sample rate (fs)? Thanks.

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