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

File: <base>/training/georgia/g6/E05864.hea (722 bytes) 
E05864 12 500 5000
E05864.mat 16x1+24 1000.0(0)/mV 16 0 9 -17090 0 I
E05864.mat 16x1+24 1000.0(0)/mV 16 0 68 -10683 0 II
E05864.mat 16x1+24 1000.0(0)/mV 16 0 58 5827 0 III
E05864.mat 16x1+24 1000.0(0)/mV 16 0 -39 13648 0 aVR
E05864.mat 16x1+24 1000.0(0)/mV 16 0 -24 -11407 0 aVL
E05864.mat 16x1+24 1000.0(0)/mV 16 0 63 -2168 0 aVF
E05864.mat 16x1+24 1000.0(0)/mV 16 0 -126 32117 0 V1
E05864.mat 16x1+24 1000.0(0)/mV 16 0 -48 19143 0 V2
E05864.mat 16x1+24 1000.0(0)/mV 16 0 -9 -26076 0 V3
E05864.mat 16x1+24 1000.0(0)/mV 16 0 -78 3413 0 V4
E05864.mat 16x1+24 1000.0(0)/mV 16 0 -9 -10677 0 V5
E05864.mat 16x1+24 1000.0(0)/mV 16 0 -19 -19874 0 V6
# Age: 71
# Sex: Female
# Dx: 426177001,164873001
# Rx: Unknown
# Hx: Unknown