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I propose to conduct these MEG preprocessing steps in the following order:
1. exclude non brain electrodes:
- should I remove the EOG and ECG electrode directly at the beginning? Depending on o…
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My name is Marco Fonsato and I'm a master's degree student that is working on a project for my thesis that will include get_hrv script (of course with citation).
I've got problem that i'm facing.
I …
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Fisrt, i would like to congratulate you on your implementation and i would like to know how to use the weights to use in a file containing the ecg.
Regards,
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I tried to connect the electrodes as mentioned in the diagram.
But it doesn't work properly and I am getting an unusual heart rate on the monitor.
It keeps on fluctuating. Kindly let me know the pro…
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Hi, I am applying this code to a CNN classifying a dataset of 1D-time series.
I use the following code for using DeepExplain on the learned model.
def calculate_attributions(X, y_onehot, data_nr…
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Hi, thanks for your wonderful work!
I was trying to run this model, specifically VAE, on my data and I noticed it doesn't work due to an inconsistency:
In systems/VAE_system.py:124:
`reconstruction…
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Date: July 1, 2022
### Frozen Shoulder Assessment (Clinical co-worker: 三總 復健科 張智雅醫師)
* Progress
* Labeling tools
* Plan
* Physical feature extraction tool (github)
### Vestibular Disor…
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I tested MinMaxNormalize with the following code:
```
from torch_ecg._preprocessors import MinMaxNormalize
minmax = MinMaxNormalize()
sig = raw_sig[:, 0] # lead1, shape: (5000,)
sig_minmax, fs_m…
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Hi! I have retrained your model on another dataset (derived from ShapeNet) on single categories, (i.e. for each class I train a separate model). I found that VRC has the same performances of ECG for s…