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

File: <base>/training/georgia/g10/E09923.hea (715 bytes) 
E09923 12 500 2500
E09923.mat 16x1+24 1000.0(0)/mV 16 0 -78 -18900 0 I
E09923.mat 16x1+24 1000.0(0)/mV 16 0 -97 -20039 0 II
E09923.mat 16x1+24 1000.0(0)/mV 16 0 -19 -997 0 III
E09923.mat 16x1+24 1000.0(0)/mV 16 0 87 19501 0 aVR
E09923.mat 16x1+24 1000.0(0)/mV 16 0 -29 -8760 0 aVL
E09923.mat 16x1+24 1000.0(0)/mV 16 0 -58 -10361 0 aVF
E09923.mat 16x1+24 1000.0(0)/mV 16 0 19 26745 0 V1
E09923.mat 16x1+24 1000.0(0)/mV 16 0 19 -13206 0 V2
E09923.mat 16x1+24 1000.0(0)/mV 16 0 -39 -8789 0 V3
E09923.mat 16x1+24 1000.0(0)/mV 16 0 -68 -3014 0 V4
E09923.mat 16x1+24 1000.0(0)/mV 16 0 -78 -5282 0 V5
E09923.mat 16x1+24 1000.0(0)/mV 16 0 -78 -11609 0 V6
# Age: 50
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown