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

File: <base>/training/georgia/g1/E00368.hea (745 bytes) 
E00368 12 500 5000
E00368.mat 16x1+24 1000.0(0)/mV 16 0 -131 -15946 0 I
E00368.mat 16x1+24 1000.0(0)/mV 16 0 185 -24185 0 II
E00368.mat 16x1+24 1000.0(0)/mV 16 0 317 -8656 0 III
E00368.mat 16x1+24 1000.0(0)/mV 16 0 -26 -12637 0 aVR
E00368.mat 16x1+24 1000.0(0)/mV 16 0 -224 -3791 0 aVL
E00368.mat 16x1+24 1000.0(0)/mV 16 0 251 16612 0 aVF
E00368.mat 16x1+24 1000.0(0)/mV 16 0 58 -22055 0 V1
E00368.mat 16x1+24 1000.0(0)/mV 16 0 180 12284 0 V2
E00368.mat 16x1+24 1000.0(0)/mV 16 0 24 -17092 0 V3
E00368.mat 16x1+24 1000.0(0)/mV 16 0 14 11718 0 V4
E00368.mat 16x1+24 1000.0(0)/mV 16 0 43 12302 0 V5
E00368.mat 16x1+24 1000.0(0)/mV 16 0 0 -30736 0 V6
# Age: 73
# Sex: Female
# Dx: 111975006,39732003,425623009,164931005
# Rx: Unknown
# Hx: Unknown