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

File: <base>/training/georgia/g6/E05927.hea (721 bytes) 
E05927 12 500 5000
E05927.mat 16x1+24 1000.0(0)/mV 16 0 14 31808 0 I
E05927.mat 16x1+24 1000.0(0)/mV 16 0 -68 3710 0 II
E05927.mat 16x1+24 1000.0(0)/mV 16 0 -82 -28933 0 III
E05927.mat 16x1+24 1000.0(0)/mV 16 0 26 14896 0 aVR
E05927.mat 16x1+24 1000.0(0)/mV 16 0 48 30620 0 aVL
E05927.mat 16x1+24 1000.0(0)/mV 16 0 -75 20426 0 aVF
E05927.mat 16x1+24 1000.0(0)/mV 16 0 34 1717 0 V1
E05927.mat 16x1+24 1000.0(0)/mV 16 0 -24 29023 0 V2
E05927.mat 16x1+24 1000.0(0)/mV 16 0 -43 26419 0 V3
E05927.mat 16x1+24 1000.0(0)/mV 16 0 -24 -17714 0 V4
E05927.mat 16x1+24 1000.0(0)/mV 16 0 -43 -21184 0 V5
E05927.mat 16x1+24 1000.0(0)/mV 16 0 -19 29345 0 V6
# Age: 68
# Sex: Female
# Dx: 425623009,164934002
# Rx: Unknown
# Hx: Unknown