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

File: <base>/training/georgia/g5/E04563.hea (722 bytes)
E04563 12 500 5000
E04563.mat 16x1+24 1000.0(0)/mV 16 0 -107 -5585 0 I
E04563.mat 16x1+24 1000.0(0)/mV 16 0 19 13363 0 II
E04563.mat 16x1+24 1000.0(0)/mV 16 0 126 18851 0 III
E04563.mat 16x1+24 1000.0(0)/mV 16 0 43 -3943 0 aVR
E04563.mat 16x1+24 1000.0(0)/mV 16 0 -117 -12105 0 aVL
E04563.mat 16x1+24 1000.0(0)/mV 16 0 73 16318 0 aVF
E04563.mat 16x1+24 1000.0(0)/mV 16 0 126 20699 0 V1
E04563.mat 16x1+24 1000.0(0)/mV 16 0 146 -26526 0 V2
E04563.mat 16x1+24 1000.0(0)/mV 16 0 48 14945 0 V3
E04563.mat 16x1+24 1000.0(0)/mV 16 0 -39 20023 0 V4
E04563.mat 16x1+24 1000.0(0)/mV 16 0 -68 22845 0 V5
E04563.mat 16x1+24 1000.0(0)/mV 16 0 -58 16657 0 V6
# Age: 77
# Sex: Male
# Dx: 426177001,164934002
# Rx: Unknown
# Hx: Unknown