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

File: <base>/training/georgia/g5/E04761.hea (717 bytes) 
E04761 12 500 5000
E04761.mat 16x1+24 1000.0(0)/mV 16 0 -19 21632 0 I
E04761.mat 16x1+24 1000.0(0)/mV 16 0 9 -24739 0 II
E04761.mat 16x1+24 1000.0(0)/mV 16 0 29 19680 0 III
E04761.mat 16x1+24 1000.0(0)/mV 16 0 4 1421 0 aVR
E04761.mat 16x1+24 1000.0(0)/mV 16 0 -24 -32022 0 aVL
E04761.mat 16x1+24 1000.0(0)/mV 16 0 19 30243 0 aVF
E04761.mat 16x1+24 1000.0(0)/mV 16 0 -9 16580 0 V1
E04761.mat 16x1+24 1000.0(0)/mV 16 0 9 18459 0 V2
E04761.mat 16x1+24 1000.0(0)/mV 16 0 0 16129 0 V3
E04761.mat 16x1+24 1000.0(0)/mV 16 0 -39 28709 0 V4
E04761.mat 16x1+24 1000.0(0)/mV 16 0 -58 -28495 0 V5
E04761.mat 16x1+24 1000.0(0)/mV 16 0 -136 -17264 0 V6
# Age: 54
# Sex: Female
# Dx: 428750005,427393009
# Rx: Unknown
# Hx: Unknown