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

File: <base>/training/georgia/g5/E04442.hea (719 bytes) 
E04442 12 500 5000
E04442.mat 16x1+24 1000.0(0)/mV 16 0 -58 -4440 0 I
E04442.mat 16x1+24 1000.0(0)/mV 16 0 -117 23258 0 II
E04442.mat 16x1+24 1000.0(0)/mV 16 0 -58 27424 0 III
E04442.mat 16x1+24 1000.0(0)/mV 16 0 87 23425 0 aVR
E04442.mat 16x1+24 1000.0(0)/mV 16 0 0 16900 0 aVL
E04442.mat 16x1+24 1000.0(0)/mV 16 0 -87 25573 0 aVF
E04442.mat 16x1+24 1000.0(0)/mV 16 0 29 457 0 V1
E04442.mat 16x1+24 1000.0(0)/mV 16 0 -9 24249 0 V2
E04442.mat 16x1+24 1000.0(0)/mV 16 0 -19 -20066 0 V3
E04442.mat 16x1+24 1000.0(0)/mV 16 0 0 -13019 0 V4
E04442.mat 16x1+24 1000.0(0)/mV 16 0 -29 -25775 0 V5
E04442.mat 16x1+24 1000.0(0)/mV 16 0 -19 -25902 0 V6
# Age: 70
# Sex: Female
# Dx: 713426002,59118001
# Rx: Unknown
# Hx: Unknown