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

File: <base>/training/georgia/g10/E09368.hea (745 bytes) 
E09368 12 500 5000
E09368.mat 16x1+24 1000.0(0)/mV 16 0 -68 -21469 0 I
E09368.mat 16x1+24 1000.0(0)/mV 16 0 -58 -22151 0 II
E09368.mat 16x1+24 1000.0(0)/mV 16 0 9 -11 0 III
E09368.mat 16x1+24 1000.0(0)/mV 16 0 63 21796 0 aVR
E09368.mat 16x1+24 1000.0(0)/mV 16 0 -39 -11122 0 aVL
E09368.mat 16x1+24 1000.0(0)/mV 16 0 -24 -11061 0 aVF
E09368.mat 16x1+24 1000.0(0)/mV 16 0 -53 26257 0 V1
E09368.mat 16x1+24 1000.0(0)/mV 16 0 -87 17080 0 V2
E09368.mat 16x1+24 1000.0(0)/mV 16 0 -190 -31831 0 V3
E09368.mat 16x1+24 1000.0(0)/mV 16 0 -131 -3284 0 V4
E09368.mat 16x1+24 1000.0(0)/mV 16 0 -92 26386 0 V5
E09368.mat 16x1+24 1000.0(0)/mV 16 0 -48 -2195 0 V6
# Age: 68
# Sex: Female
# Dx: 17338001,164884008,428750005,427084000
# Rx: Unknown
# Hx: Unknown