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

File: <base>/training/georgia/g10/E09102.hea (719 bytes) 
E09102 12 500 5000
E09102.mat 16x1+24 1000.0(0)/mV 16 0 87 10439 0 I
E09102.mat 16x1+24 1000.0(0)/mV 16 0 312 7873 0 II
E09102.mat 16x1+24 1000.0(0)/mV 16 0 224 -2317 0 III
E09102.mat 16x1+24 1000.0(0)/mV 16 0 -200 23521 0 aVR
E09102.mat 16x1+24 1000.0(0)/mV 16 0 -68 6237 0 aVL
E09102.mat 16x1+24 1000.0(0)/mV 16 0 268 -29890 0 aVF
E09102.mat 16x1+24 1000.0(0)/mV 16 0 -185 18821 0 V1
E09102.mat 16x1+24 1000.0(0)/mV 16 0 -87 -1074 0 V2
E09102.mat 16x1+24 1000.0(0)/mV 16 0 29 -10838 0 V3
E09102.mat 16x1+24 1000.0(0)/mV 16 0 87 -17189 0 V4
E09102.mat 16x1+24 1000.0(0)/mV 16 0 126 -6426 0 V5
E09102.mat 16x1+24 1000.0(0)/mV 16 0 58 -32461 0 V6
# Age: 50
# Sex: Female
# Dx: 67741000119109
# Rx: Unknown
# Hx: Unknown