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

File: <base>/training/georgia/g7/E06182.hea (729 bytes) 
E06182 12 500 5000
E06182.mat 16x1+24 1000.0(0)/mV 16 0 -63 -28528 0 I
E06182.mat 16x1+24 1000.0(0)/mV 16 0 0 17590 0 II
E06182.mat 16x1+24 1000.0(0)/mV 16 0 63 -19613 0 III
E06182.mat 16x1+24 1000.0(0)/mV 16 0 31 -27613 0 aVR
E06182.mat 16x1+24 1000.0(0)/mV 16 0 -63 -4392 0 aVL
E06182.mat 16x1+24 1000.0(0)/mV 16 0 31 31658 0 aVF
E06182.mat 16x1+24 1000.0(0)/mV 16 0 9 -16115 0 V1
E06182.mat 16x1+24 1000.0(0)/mV 16 0 -68 24700 0 V2
E06182.mat 16x1+24 1000.0(0)/mV 16 0 -78 -4945 0 V3
E06182.mat 16x1+24 1000.0(0)/mV 16 0 -78 30027 0 V4
E06182.mat 16x1+24 1000.0(0)/mV 16 0 -73 -15186 0 V5
E06182.mat 16x1+24 1000.0(0)/mV 16 0 -34 -8066 0 V6
# Age: 81
# Sex: Female
# Dx: 164909002,6374002,39732003
# Rx: Unknown
# Hx: Unknown