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

File: <base>/training/georgia/g10/E09974.hea (751 bytes) 
E09974 12 500 5000
E09974.mat 16x1+24 1000.0(0)/mV 16 0 -97 20134 0 I
E09974.mat 16x1+24 1000.0(0)/mV 16 0 -107 18757 0 II
E09974.mat 16x1+24 1000.0(0)/mV 16 0 -9 -1077 0 III
E09974.mat 16x1+24 1000.0(0)/mV 16 0 102 -19517 0 aVR
E09974.mat 16x1+24 1000.0(0)/mV 16 0 -43 10589 0 aVL
E09974.mat 16x1+24 1000.0(0)/mV 16 0 -58 8811 0 aVF
E09974.mat 16x1+24 1000.0(0)/mV 16 0 146 208 0 V1
E09974.mat 16x1+24 1000.0(0)/mV 16 0 126 -4158 0 V2
E09974.mat 16x1+24 1000.0(0)/mV 16 0 146 -15070 0 V3
E09974.mat 16x1+24 1000.0(0)/mV 16 0 -117 -9589 0 V4
E09974.mat 16x1+24 1000.0(0)/mV 16 0 -107 22750 0 V5
E09974.mat 16x1+24 1000.0(0)/mV 16 0 -97 -13662 0 V6
# Age: 69
# Sex: Female
# Dx: 67741000119109,270492004,425623009,164934002
# Rx: Unknown
# Hx: Unknown