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

File: <base>/training/georgia/g10/E09814.hea (734 bytes) 
E09814 12 500 5000
E09814.mat 16x1+24 1000.0(0)/mV 16 0 234 18580 0 I
E09814.mat 16x1+24 1000.0(0)/mV 16 0 29 -25719 0 II
E09814.mat 16x1+24 1000.0(0)/mV 16 0 -204 20904 0 III
E09814.mat 16x1+24 1000.0(0)/mV 16 0 -131 -28779 0 aVR
E09814.mat 16x1+24 1000.0(0)/mV 16 0 219 31708 0 aVL
E09814.mat 16x1+24 1000.0(0)/mV 16 0 -87 -2306 0 aVF
E09814.mat 16x1+24 1000.0(0)/mV 16 0 -43 14502 0 V1
E09814.mat 16x1+24 1000.0(0)/mV 16 0 92 -5176 0 V2
E09814.mat 16x1+24 1000.0(0)/mV 16 0 92 -11117 0 V3
E09814.mat 16x1+24 1000.0(0)/mV 16 0 122 -12800 0 V4
E09814.mat 16x1+24 1000.0(0)/mV 16 0 -63 -20654 0 V5
E09814.mat 16x1+24 1000.0(0)/mV 16 0 131 -29205 0 V6
# Age: 42
# Sex: Female
# Dx: 67741000119109,427084000
# Rx: Unknown
# Hx: Unknown