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

File: <base>/training/georgia/g10/E09872.hea (723 bytes) 
E09872 12 500 5000
E09872.mat 16x1+24 1000.0(0)/mV 16 0 -19 17474 0 I
E09872.mat 16x1+24 1000.0(0)/mV 16 0 -63 -22995 0 II
E09872.mat 16x1+24 1000.0(0)/mV 16 0 -43 25123 0 III
E09872.mat 16x1+24 1000.0(0)/mV 16 0 41 -30015 0 aVR
E09872.mat 16x1+24 1000.0(0)/mV 16 0 12 29487 0 aVL
E09872.mat 16x1+24 1000.0(0)/mV 16 0 -53 1310 0 aVF
E09872.mat 16x1+24 1000.0(0)/mV 16 0 4 -8821 0 V1
E09872.mat 16x1+24 1000.0(0)/mV 16 0 48 -19001 0 V2
E09872.mat 16x1+24 1000.0(0)/mV 16 0 43 -29306 0 V3
E09872.mat 16x1+24 1000.0(0)/mV 16 0 -278 14897 0 V4
E09872.mat 16x1+24 1000.0(0)/mV 16 0 -58 18998 0 V5
E09872.mat 16x1+24 1000.0(0)/mV 16 0 -43 -11849 0 V6
# Age: 21
# Sex: Female
# Dx: 251146004,427393009
# Rx: Unknown
# Hx: Unknown