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

File: <base>/training/georgia/g10/E09196.hea (713 bytes) 
E09196 12 500 5000
E09196.mat 16x1+24 1000.0(0)/mV 16 0 -87 12184 0 I
E09196.mat 16x1+24 1000.0(0)/mV 16 0 -170 15044 0 II
E09196.mat 16x1+24 1000.0(0)/mV 16 0 -82 3932 0 III
E09196.mat 16x1+24 1000.0(0)/mV 16 0 129 -13546 0 aVR
E09196.mat 16x1+24 1000.0(0)/mV 16 0 -2 3355 0 aVL
E09196.mat 16x1+24 1000.0(0)/mV 16 0 -126 9585 0 aVF
E09196.mat 16x1+24 1000.0(0)/mV 16 0 19 -736 0 V1
E09196.mat 16x1+24 1000.0(0)/mV 16 0 -19 -13909 0 V2
E09196.mat 16x1+24 1000.0(0)/mV 16 0 -87 -3609 0 V3
E09196.mat 16x1+24 1000.0(0)/mV 16 0 -92 14610 0 V4
E09196.mat 16x1+24 1000.0(0)/mV 16 0 -97 -22355 0 V5
E09196.mat 16x1+24 1000.0(0)/mV 16 0 175 20493 0 V6
# Age: 53
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown