what is difference A00001~A08528 microsoft Access Table Shortcut and sel30~selxx about cardio HOT 4 CLOSED

Hi, @gsm2055!

Those files are not Microsoft Access Table files. In wfdb format data files can have different extensions: mat, dat, etc. So you should read those files as usual with load(fmt='wfdb', ...) method.
Please, refer to WFDB Guide for more information.

Regarding your second message: it is most likely that there is no element with index A00008 in batch. Try printing batch.indices, and use one of those indices in show_ecg.

from cardio.

CardIO uses wfdb library to read data in wfdb format. You can use this library independently from CardIO. Please, read the documentation and go through demo notebook. wfdb has a built-in function to display signals.

Also, to display signal with CardIO, you can refer to tutorials/III. Models.ipynb, section CardIO segmentation models. First code chunk shows how to create EcgDataset object with QT data. Then you can generate new batch and use load and show_ecg methods as usual.

from cardio.

i get this error

File "", line 4, in
batch_with_data.show_ecg('A00008', start=30, end=35)

File "D:\anaconda3\lib\site-packages\cardio-0.3.0-py3.7.egg\cardio\core\ecg_batch.py", line 390, in show_ecg
i = 0 if index is None else self.get_pos(None, "signal", index)

File "D:\anaconda3\lib\site-packages\cardio-0.3.0-py3.7.egg\cardio\batchflow\batch.py", line 334, in get_pos
pos = self.index.get_pos(index)

File "D:\anaconda3\lib\site-packages\cardio-0.3.0-py3.7.egg\cardio\batchflow\dsindex.py", line 148, in get_pos
pos = self._pos[index]

`import os
import sys
sys.path.append("..")

import cardio.batchflow as bf
from cardio import EcgBatch
from cardio.models.metrics import classification_report

import tensorflow as tf

index = bf.FilesIndex(path="C:/Users/gsm20/Downloads/TestData/A*.hea", no_ext=True, sort=True)

print(index.indices)
#%%
eds = bf.Dataset(index, batch_class=EcgBatch)
batch = eds.next_batch(batch_size=2)
batch_with_data = batch.load(fmt="wfdb", components=["signal", "meta"])
batch_with_data.show_ecg('A00008', start=30, end=35)`

from cardio.

from cardio.