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

File: <base>/training/georgia/g5/E04762.hea (710 bytes) 
E04762 12 500 5000
E04762.mat 16x1+24 1000.0(0)/mV 16 0 -78 9481 0 I
E04762.mat 16x1+24 1000.0(0)/mV 16 0 -19 -7853 0 II
E04762.mat 16x1+24 1000.0(0)/mV 16 0 58 -17775 0 III
E04762.mat 16x1+24 1000.0(0)/mV 16 0 48 -893 0 aVR
E04762.mat 16x1+24 1000.0(0)/mV 16 0 -68 -19122 0 aVL
E04762.mat 16x1+24 1000.0(0)/mV 16 0 19 19820 0 aVF
E04762.mat 16x1+24 1000.0(0)/mV 16 0 -165 875 0 V1
E04762.mat 16x1+24 1000.0(0)/mV 16 0 -273 6789 0 V2
E04762.mat 16x1+24 1000.0(0)/mV 16 0 -244 1564 0 V3
E04762.mat 16x1+24 1000.0(0)/mV 16 0 -136 -31693 0 V4
E04762.mat 16x1+24 1000.0(0)/mV 16 0 -126 27264 0 V5
E04762.mat 16x1+24 1000.0(0)/mV 16 0 -87 8705 0 V6
# Age: 72
# Sex: Male
# Dx: 426177001
# Rx: Unknown
# Hx: Unknown