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

File: <base>/training/georgia/g3/E02873.hea (720 bytes) 
E02873 12 500 5000
E02873.mat 16x1+24 1000.0(0)/mV 16 0 87 -17320 0 I
E02873.mat 16x1+24 1000.0(0)/mV 16 0 68 -31595 0 II
E02873.mat 16x1+24 1000.0(0)/mV 16 0 -19 -15128 0 III
E02873.mat 16x1+24 1000.0(0)/mV 16 0 -78 -8136 0 aVR
E02873.mat 16x1+24 1000.0(0)/mV 16 0 53 31707 0 aVL
E02873.mat 16x1+24 1000.0(0)/mV 16 0 24 -23326 0 aVF
E02873.mat 16x1+24 1000.0(0)/mV 16 0 9 11169 0 V1
E02873.mat 16x1+24 1000.0(0)/mV 16 0 -29 13479 0 V2
E02873.mat 16x1+24 1000.0(0)/mV 16 0 -58 23909 0 V3
E02873.mat 16x1+24 1000.0(0)/mV 16 0 -39 26788 0 V4
E02873.mat 16x1+24 1000.0(0)/mV 16 0 -58 29609 0 V5
E02873.mat 16x1+24 1000.0(0)/mV 16 0 -48 26464 0 V6
# Age: 60
# Sex: Male
# Dx: 111975006,164930006
# Rx: Unknown
# Hx: Unknown