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

File: <base>/training/georgia/g4/E03482.hea (719 bytes) 
E03482 12 500 5000
E03482.mat 16x1+24 1000.0(0)/mV 16 0 -170 -20998 0 I
E03482.mat 16x1+24 1000.0(0)/mV 16 0 9 27400 0 II
E03482.mat 16x1+24 1000.0(0)/mV 16 0 180 -16970 0 III
E03482.mat 16x1+24 1000.0(0)/mV 16 0 80 -3089 0 aVR
E03482.mat 16x1+24 1000.0(0)/mV 16 0 -175 30722 0 aVL
E03482.mat 16x1+24 1000.0(0)/mV 16 0 95 -27696 0 aVF
E03482.mat 16x1+24 1000.0(0)/mV 16 0 126 -31332 0 V1
E03482.mat 16x1+24 1000.0(0)/mV 16 0 -9 -15072 0 V2
E03482.mat 16x1+24 1000.0(0)/mV 16 0 -151 19621 0 V3
E03482.mat 16x1+24 1000.0(0)/mV 16 0 -39 -10955 0 V4
E03482.mat 16x1+24 1000.0(0)/mV 16 0 -14 -31943 0 V5
E03482.mat 16x1+24 1000.0(0)/mV 16 0 -97 -19508 0 V6
# Age: 77
# Sex: Female
# Dx: 17338001
# Rx: Unknown
# Hx: Unknown