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

File: <base>/training/georgia/g10/E09433.hea (743 bytes) 
E09433 12 500 5000
E09433.mat 16x1+24 1000.0(0)/mV 16 0 -39 1376 0 I
E09433.mat 16x1+24 1000.0(0)/mV 16 0 234 21711 0 II
E09433.mat 16x1+24 1000.0(0)/mV 16 0 273 21252 0 III
E09433.mat 16x1+24 1000.0(0)/mV 16 0 -97 21417 0 aVR
E09433.mat 16x1+24 1000.0(0)/mV 16 0 -156 -10425 0 aVL
E09433.mat 16x1+24 1000.0(0)/mV 16 0 253 -11286 0 aVF
E09433.mat 16x1+24 1000.0(0)/mV 16 0 -9 -31862 0 V1
E09433.mat 16x1+24 1000.0(0)/mV 16 0 78 30004 0 V2
E09433.mat 16x1+24 1000.0(0)/mV 16 0 136 1501 0 V3
E09433.mat 16x1+24 1000.0(0)/mV 16 0 48 -7826 0 V4
E09433.mat 16x1+24 1000.0(0)/mV 16 0 39 -17455 0 V5
E09433.mat 16x1+24 1000.0(0)/mV 16 0 39 -23008 0 V6
# Age: 58
# Sex: Female
# Dx: 164884008,428750005,111975006,164930006
# Rx: Unknown
# Hx: Unknown