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

File: <base>/training/georgia/g10/E09544.hea (725 bytes) 
E09544 12 500 5000
E09544.mat 16x1+24 1000.0(0)/mV 16 0 -19 -19135 0 I
E09544.mat 16x1+24 1000.0(0)/mV 16 0 -82 -24954 0 II
E09544.mat 16x1+24 1000.0(0)/mV 16 0 -63 -5978 0 III
E09544.mat 16x1+24 1000.0(0)/mV 16 0 51 -10690 0 aVR
E09544.mat 16x1+24 1000.0(0)/mV 16 0 21 25835 0 aVL
E09544.mat 16x1+24 1000.0(0)/mV 16 0 -73 -15658 0 aVF
E09544.mat 16x1+24 1000.0(0)/mV 16 0 73 16811 0 V1
E09544.mat 16x1+24 1000.0(0)/mV 16 0 43 -23577 0 V2
E09544.mat 16x1+24 1000.0(0)/mV 16 0 82 2646 0 V3
E09544.mat 16x1+24 1000.0(0)/mV 16 0 63 44 0 V4
E09544.mat 16x1+24 1000.0(0)/mV 16 0 34 17840 0 V5
E09544.mat 16x1+24 1000.0(0)/mV 16 0 -53 19814 0 V6
# Age: 27
# Sex: Male
# Dx: 47665007,427084000,164931005
# Rx: Unknown
# Hx: Unknown