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

File: <base>/training/georgia/g5/E04617.hea (751 bytes)
E04617 12 500 5000
E04617.mat 16x1+24 1000.0(0)/mV 16 0 29 -21892 0 I
E04617.mat 16x1+24 1000.0(0)/mV 16 0 29 12285 0 II
E04617.mat 16x1+24 1000.0(0)/mV 16 0 0 -30780 0 III
E04617.mat 16x1+24 1000.0(0)/mV 16 0 -29 4663 0 aVR
E04617.mat 16x1+24 1000.0(0)/mV 16 0 14 -28582 0 aVL
E04617.mat 16x1+24 1000.0(0)/mV 16 0 14 23395 0 aVF
E04617.mat 16x1+24 1000.0(0)/mV 16 0 -126 -27664 0 V1
E04617.mat 16x1+24 1000.0(0)/mV 16 0 -117 -26693 0 V2
E04617.mat 16x1+24 1000.0(0)/mV 16 0 -126 -7874 0 V3
E04617.mat 16x1+24 1000.0(0)/mV 16 0 -87 24612 0 V4
E04617.mat 16x1+24 1000.0(0)/mV 16 0 175 -5936 0 V5
E04617.mat 16x1+24 1000.0(0)/mV 16 0 48 21800 0 V6
# Age: 64
# Sex: Male
# Dx: 164873001,111975006,164930006,59931005,164934002
# Rx: Unknown
# Hx: Unknown