Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks · HackerPapers discussions

Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks — mentioned by ivan_ah

Thu, 10 Jan 2019 07:03:01 GMT

Pretty impressive. From the Figure in on page 2 https://arxiv.org/pdf/1707.01836.pdf#page=2 > Figure 2. Deep Neural Network architecture. Our deep neural network consisted of 33 convolutional layers followed by a linear output layer into a softmax. The network accepts raw ECG data as input (sampled at 200 Hz, or 200 samples per second), and outputs a prediction of one out of 12 possible rhythm classes every 256 input samples. The first and last layer are special-cased due to the pre-activation residual blocks. ^^^ 33 convolutional layers --- wow that's pretty deep for 1-D input.

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Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks — mentioned by signa11

Thu, 10 Jan 2019 06:06:23 GMT

link to the paper: https://arxiv.org/pdf/1707.01836.pdf

Paper and discussion history. A mention is not an endorsement.

Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks — HN submission

Mon, 14 Aug 2017 08:04:43 GMT

Diagnose irregular heart rhythms better than a cardiologist

13 points; 1 discussion reply on HN. Paper and source history. A submission is not an endorsement.

Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks — HN submission

Fri, 07 Jul 2017 18:11:33 GMT

Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks

4 points; 0 discussion replies on HN. Paper and source history. A submission is not an endorsement.

Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks — HN submission

Fri, 07 Jul 2017 17:37:13 GMT

Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks

1 point; 0 discussion replies on HN. Paper and source history. A submission is not an endorsement.