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

File: <base>/training/georgia/g5/E04294.hea (749 bytes) 
E04294 12 500 5000
E04294.mat 16x1+24 1000.0(0)/mV 16 0 -107 -17785 0 I
E04294.mat 16x1+24 1000.0(0)/mV 16 0 -117 -13615 0 II
E04294.mat 16x1+24 1000.0(0)/mV 16 0 -9 3959 0 III
E04294.mat 16x1+24 1000.0(0)/mV 16 0 112 15715 0 aVR
E04294.mat 16x1+24 1000.0(0)/mV 16 0 -48 21628 0 aVL
E04294.mat 16x1+24 1000.0(0)/mV 16 0 -63 28110 0 aVF
E04294.mat 16x1+24 1000.0(0)/mV 16 0 19 9683 0 V1
E04294.mat 16x1+24 1000.0(0)/mV 16 0 -19 -17122 0 V2
E04294.mat 16x1+24 1000.0(0)/mV 16 0 -692 -4838 0 V3
E04294.mat 16x1+24 1000.0(0)/mV 16 0 -204 -15747 0 V4
E04294.mat 16x1+24 1000.0(0)/mV 16 0 -146 -32757 0 V5
E04294.mat 16x1+24 1000.0(0)/mV 16 0 -9 22645 0 V6
# Age: 77
# Sex: Female
# Dx: 111975006,164930006,251146004,164934002
# Rx: Unknown
# Hx: Unknown