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

File: <base>/training/georgia/g5/E04432.hea (709 bytes) 
E04432 12 500 5000
E04432.mat 16x1+24 1000.0(0)/mV 16 0 -68 -30246 0 I
E04432.mat 16x1+24 1000.0(0)/mV 16 0 -58 -15328 0 II
E04432.mat 16x1+24 1000.0(0)/mV 16 0 9 13808 0 III
E04432.mat 16x1+24 1000.0(0)/mV 16 0 63 -10024 0 aVR
E04432.mat 16x1+24 1000.0(0)/mV 16 0 -39 -21980 0 aVL
E04432.mat 16x1+24 1000.0(0)/mV 16 0 -24 -32461 0 aVF
E04432.mat 16x1+24 1000.0(0)/mV 16 0 0 7915 0 V1
E04432.mat 16x1+24 1000.0(0)/mV 16 0 -87 921 0 V2
E04432.mat 16x1+24 1000.0(0)/mV 16 0 -97 23053 0 V3
E04432.mat 16x1+24 1000.0(0)/mV 16 0 -68 29725 0 V4
E04432.mat 16x1+24 1000.0(0)/mV 16 0 -117 -7685 0 V5
E04432.mat 16x1+24 1000.0(0)/mV 16 0 -68 2975 0 V6
# Age: 45
# Sex: Male
# Dx: 428417006
# Rx: Unknown
# Hx: Unknown