Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2

File: <base>/training/georgia/g1/E00865.hea (721 bytes)
E00865 12 500 5000
E00865.mat 16x1+24 1000.0(0)/mV 16 0 -97 26498 0 I
E00865.mat 16x1+24 1000.0(0)/mV 16 0 -390 -23221 0 II
E00865.mat 16x1+24 1000.0(0)/mV 16 0 -292 16531 0 III
E00865.mat 16x1+24 1000.0(0)/mV 16 0 244 -1794 0 aVR
E00865.mat 16x1+24 1000.0(0)/mV 16 0 97 4514 0 aVL
E00865.mat 16x1+24 1000.0(0)/mV 16 0 -341 -3399 0 aVF
E00865.mat 16x1+24 1000.0(0)/mV 16 0 448 23512 0 V1
E00865.mat 16x1+24 1000.0(0)/mV 16 0 546 25556 0 V2
E00865.mat 16x1+24 1000.0(0)/mV 16 0 644 -14505 0 V3
E00865.mat 16x1+24 1000.0(0)/mV 16 0 -58 -26171 0 V4
E00865.mat 16x1+24 1000.0(0)/mV 16 0 -448 -22249 0 V5
E00865.mat 16x1+24 1000.0(0)/mV 16 0 -614 23776 0 V6
# Age: 58
# Sex: Female
# Dx: 164909002
# Rx: Unknown
# Hx: Unknown