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

File: <base>/training/georgia/g1/E00622.hea (717 bytes) 
E00622 12 500 5000
E00622.mat 16x1+24 1000.0(0)/mV 16 0 -48 20010 0 I
E00622.mat 16x1+24 1000.0(0)/mV 16 0 165 12390 0 II
E00622.mat 16x1+24 1000.0(0)/mV 16 0 214 -7152 0 III
E00622.mat 16x1+24 1000.0(0)/mV 16 0 -58 16510 0 aVR
E00622.mat 16x1+24 1000.0(0)/mV 16 0 -131 13322 0 aVL
E00622.mat 16x1+24 1000.0(0)/mV 16 0 190 -30150 0 aVF
E00622.mat 16x1+24 1000.0(0)/mV 16 0 -29 11947 0 V1
E00622.mat 16x1+24 1000.0(0)/mV 16 0 -107 9399 0 V2
E00622.mat 16x1+24 1000.0(0)/mV 16 0 -156 -5693 0 V3
E00622.mat 16x1+24 1000.0(0)/mV 16 0 -185 8987 0 V4
E00622.mat 16x1+24 1000.0(0)/mV 16 0 -380 5888 0 V5
E00622.mat 16x1+24 1000.0(0)/mV 16 0 -478 -29926 0 V6
# Age: 50
# Sex: Male
# Dx: 427084000
# Rx: Unknown
# Hx: Unknown