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

File: <base>/training/georgia/g7/E06515.hea (724 bytes) 
E06515 12 500 5000
E06515.mat 16x1+24 1000.0(0)/mV 16 0 -165 11096 0 I
E06515.mat 16x1+24 1000.0(0)/mV 16 0 58 7273 0 II
E06515.mat 16x1+24 1000.0(0)/mV 16 0 224 -3809 0 III
E06515.mat 16x1+24 1000.0(0)/mV 16 0 53 -9173 0 aVR
E06515.mat 16x1+24 1000.0(0)/mV 16 0 -195 -25082 0 aVL
E06515.mat 16x1+24 1000.0(0)/mV 16 0 141 -30904 0 aVF
E06515.mat 16x1+24 1000.0(0)/mV 16 0 126 -28321 0 V1
E06515.mat 16x1+24 1000.0(0)/mV 16 0 253 30144 0 V2
E06515.mat 16x1+24 1000.0(0)/mV 16 0 244 -5226 0 V3
E06515.mat 16x1+24 1000.0(0)/mV 16 0 58 8105 0 V4
E06515.mat 16x1+24 1000.0(0)/mV 16 0 29 -10624 0 V5
E06515.mat 16x1+24 1000.0(0)/mV 16 0 -78 24486 0 V6
# Age: 59
# Sex: Female
# Dx: 425623009,164934002
# Rx: Unknown
# Hx: Unknown