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

File: <base>/training/georgia/g10/E09641.hea (721 bytes) 
E09641 12 500 5000
E09641.mat 16x1+24 1000.0(0)/mV 16 0 -34 -15327 0 I
E09641.mat 16x1+24 1000.0(0)/mV 16 0 73 -1684 0 II
E09641.mat 16x1+24 1000.0(0)/mV 16 0 107 13595 0 III
E09641.mat 16x1+24 1000.0(0)/mV 16 0 -19 -24454 0 aVR
E09641.mat 16x1+24 1000.0(0)/mV 16 0 -70 18367 0 aVL
E09641.mat 16x1+24 1000.0(0)/mV 16 0 90 5916 0 aVF
E09641.mat 16x1+24 1000.0(0)/mV 16 0 -107 18980 0 V1
E09641.mat 16x1+24 1000.0(0)/mV 16 0 -4 27943 0 V2
E09641.mat 16x1+24 1000.0(0)/mV 16 0 -14 14203 0 V3
E09641.mat 16x1+24 1000.0(0)/mV 16 0 39 10416 0 V4
E09641.mat 16x1+24 1000.0(0)/mV 16 0 -14 7329 0 V5
E09641.mat 16x1+24 1000.0(0)/mV 16 0 48 -24248 0 V6
# Age: 61
# Sex: Female
# Dx: 713426002,164934002
# Rx: Unknown
# Hx: Unknown