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

File: <base>/training/georgia/g10/E09896.hea (716 bytes) 
E09896 12 500 5000
E09896.mat 16x1+24 1000.0(0)/mV 16 0 39 -3665 0 I
E09896.mat 16x1+24 1000.0(0)/mV 16 0 -9 3106 0 II
E09896.mat 16x1+24 1000.0(0)/mV 16 0 -48 6635 0 III
E09896.mat 16x1+24 1000.0(0)/mV 16 0 -14 -150 0 aVR
E09896.mat 16x1+24 1000.0(0)/mV 16 0 43 -4930 0 aVL
E09896.mat 16x1+24 1000.0(0)/mV 16 0 -29 4965 0 aVF
E09896.mat 16x1+24 1000.0(0)/mV 16 0 58 32725 0 V1
E09896.mat 16x1+24 1000.0(0)/mV 16 0 87 29022 0 V2
E09896.mat 16x1+24 1000.0(0)/mV 16 0 48 31568 0 V3
E09896.mat 16x1+24 1000.0(0)/mV 16 0 -9 -15230 0 V4
E09896.mat 16x1+24 1000.0(0)/mV 16 0 -19 -11000 0 V5
E09896.mat 16x1+24 1000.0(0)/mV 16 0 -19 -10998 0 V6
# Age: 37
# Sex: Female
# Dx: 427084000,164934002
# Rx: Unknown
# Hx: Unknown