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

File: <base>/training/georgia/g5/E04874.hea (749 bytes) 
E04874 12 500 5000
E04874.mat 16x1+24 1000.0(0)/mV 16 0 -107 -492 0 I
E04874.mat 16x1+24 1000.0(0)/mV 16 0 -87 11491 0 II
E04874.mat 16x1+24 1000.0(0)/mV 16 0 19 11503 0 III
E04874.mat 16x1+24 1000.0(0)/mV 16 0 97 -5480 0 aVR
E04874.mat 16x1+24 1000.0(0)/mV 16 0 -63 27105 0 aVL
E04874.mat 16x1+24 1000.0(0)/mV 16 0 -34 -20766 0 aVF
E04874.mat 16x1+24 1000.0(0)/mV 16 0 87 4388 0 V1
E04874.mat 16x1+24 1000.0(0)/mV 16 0 48 -32422 0 V2
E04874.mat 16x1+24 1000.0(0)/mV 16 0 9 16867 0 V3
E04874.mat 16x1+24 1000.0(0)/mV 16 0 -39 25376 0 V4
E04874.mat 16x1+24 1000.0(0)/mV 16 0 -58 22528 0 V5
E04874.mat 16x1+24 1000.0(0)/mV 16 0 -97 -25360 0 V6
# Age: 71
# Sex: Female
# Dx: 698252002,428750005,111975006,164930006,59931005
# Rx: Unknown
# Hx: Unknown