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

File: <base>/training/georgia/g4/E03923.hea (710 bytes) 
E03923 12 500 5000
E03923.mat 16x1+24 1000.0(0)/mV 16 0 -9 16019 0 I
E03923.mat 16x1+24 1000.0(0)/mV 16 0 -63 5622 0 II
E03923.mat 16x1+24 1000.0(0)/mV 16 0 -53 -9823 0 III
E03923.mat 16x1+24 1000.0(0)/mV 16 0 36 -10850 0 aVR
E03923.mat 16x1+24 1000.0(0)/mV 16 0 21 12922 0 aVL
E03923.mat 16x1+24 1000.0(0)/mV 16 0 -58 -2260 0 aVF
E03923.mat 16x1+24 1000.0(0)/mV 16 0 -14 2430 0 V1
E03923.mat 16x1+24 1000.0(0)/mV 16 0 -68 -3003 0 V2
E03923.mat 16x1+24 1000.0(0)/mV 16 0 -107 -5004 0 V3
E03923.mat 16x1+24 1000.0(0)/mV 16 0 -165 22333 0 V4
E03923.mat 16x1+24 1000.0(0)/mV 16 0 0 -30401 0 V5
E03923.mat 16x1+24 1000.0(0)/mV 16 0 366 -28971 0 V6
# Age: 63
# Sex: Male
# Dx: 428750005
# Rx: Unknown
# Hx: Unknown