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

File: <base>/training/georgia/g10/E09772.hea (726 bytes) 
E09772 12 500 5000
E09772.mat 16x1+24 1000.0(0)/mV 16 0 -92 587 0 I
E09772.mat 16x1+24 1000.0(0)/mV 16 0 -156 4887 0 II
E09772.mat 16x1+24 1000.0(0)/mV 16 0 -63 4927 0 III
E09772.mat 16x1+24 1000.0(0)/mV 16 0 124 -2805 0 aVR
E09772.mat 16x1+24 1000.0(0)/mV 16 0 -14 -2590 0 aVL
E09772.mat 16x1+24 1000.0(0)/mV 16 0 -109 4826 0 aVF
E09772.mat 16x1+24 1000.0(0)/mV 16 0 117 -10825 0 V1
E09772.mat 16x1+24 1000.0(0)/mV 16 0 73 -21048 0 V2
E09772.mat 16x1+24 1000.0(0)/mV 16 0 -170 -14467 0 V3
E09772.mat 16x1+24 1000.0(0)/mV 16 0 -263 23998 0 V4
E09772.mat 16x1+24 1000.0(0)/mV 16 0 -156 -5957 0 V5
E09772.mat 16x1+24 1000.0(0)/mV 16 0 -73 10182 0 V6
# Age: 40
# Sex: Female
# Dx: 428750005,427084000
# Rx: Unknown
# Hx: Unknown