dicom-ecg-plot
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marcodebe
Can this dicomize ECG raw data?
No, it actually does the inverse operation: the function _signals extracts the channels' raw data from the dicom file. What you need is a _signals⁻¹ function.
Would you please provide me some sample file of ECG raw data?
@marcodebe this file has data from a sensor, it is in mV. The format is timestamp,mV
These are the mV values encoded in 16 bit signed (this is one of the formats accepted by DICOM, it is 16 SS). The separation character is \ (this was a test I did to generate DICOM XML with waveform data for one channel).
66\65477\65457\65\191\153\41\47\203\336\297\175\151\259\328\226\44\65527\96\186\98\65481\65434\0\81\15\65413\65381\65500\72\5\65387\65354\65469\6\65457\65270\65168\65192\65202\65134\65178\35\793\1624\2047\2047\2047\1987\1375\498\65329\65039\65121\65291\65318\65289\65370\28\163\93\65452\65392\65497\60\6\65416\65411\7\122\70\65478\65487\93\219\180\74\87\232\366\333\231\251\410\546\522\426\436\585\719\697\611\625\777\908\861\754\752\877\962\873\687\621\678\710\574\353\257\299\326\190\65522\65431\65493\65534\65436\65252\65187\65276\65350\65269\65102\65072\65182\65262\65182\65034\65006\65125\65233\65173\65032\65014\65149\65245\65185\65064\65044\65177\65290\65244\65114\65096\65220\65310\65262\65122\65113\65251\65362\65311\65170\65154\65283\65394\65325\65190\65172\65298\65409\65358\65220\65203\65331\65437\65376\65239\65222\65357\65452\65392\65268\65249\65367\65476\65419\65286\65271\65396\65494\65427\65292\65259\65396\65513\65453\65300\65281\65397\65507\65460\65326\65307\65424\65525\65461\65333\65326\65452\14\65493\65350\65341\65465\30\65503\65365\65348\65476\48\65528\65386\65368\65486\48\65519\65397\65385\65527\103\71\65479\65470\71\184\155\47\57\199\336\307\178\160\271\340\246\80\27\126\204\116\65495\65458\30\115\42\65435\65406\65521\81
Please check this other repo where we are discussing the same topic in Python and has other details: https://github.com/pydicom/pydicom/issues/766
Hope that helps!