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

File: <base>/training/georgia/g5/E04012.hea (737 bytes) 
E04012 12 500 5000
E04012.mat 16x1+24 1000.0(0)/mV 16 0 19 30376 0 I
E04012.mat 16x1+24 1000.0(0)/mV 16 0 -9 -3117 0 II
E04012.mat 16x1+24 1000.0(0)/mV 16 0 -29 32030 0 III
E04012.mat 16x1+24 1000.0(0)/mV 16 0 -4 -14042 0 aVR
E04012.mat 16x1+24 1000.0(0)/mV 16 0 24 -762 0 aVL
E04012.mat 16x1+24 1000.0(0)/mV 16 0 -19 13976 0 aVF
E04012.mat 16x1+24 1000.0(0)/mV 16 0 39 22851 0 V1
E04012.mat 16x1+24 1000.0(0)/mV 16 0 0 -19170 0 V2
E04012.mat 16x1+24 1000.0(0)/mV 16 0 -97 320 0 V3
E04012.mat 16x1+24 1000.0(0)/mV 16 0 -39 -3232 0 V4
E04012.mat 16x1+24 1000.0(0)/mV 16 0 -136 11372 0 V5
E04012.mat 16x1+24 1000.0(0)/mV 16 0 -97 12002 0 V6
# Age: 64
# Sex: Female
# Dx: 111975006,164930006,425623009,164934002
# Rx: Unknown
# Hx: Unknown