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

File: <base>/training/georgia/g5/E04417.hea (745 bytes) 
E04417 12 500 5000
E04417.mat 16x1+24 1000.0(0)/mV 16 0 58 -7164 0 I
E04417.mat 16x1+24 1000.0(0)/mV 16 0 -82 -3251 0 II
E04417.mat 16x1+24 1000.0(0)/mV 16 0 -141 3906 0 III
E04417.mat 16x1+24 1000.0(0)/mV 16 0 12 5385 0 aVR
E04417.mat 16x1+24 1000.0(0)/mV 16 0 100 -5573 0 aVL
E04417.mat 16x1+24 1000.0(0)/mV 16 0 -112 406 0 aVF
E04417.mat 16x1+24 1000.0(0)/mV 16 0 34 -23522 0 V1
E04417.mat 16x1+24 1000.0(0)/mV 16 0 53 14929 0 V2
E04417.mat 16x1+24 1000.0(0)/mV 16 0 107 -15963 0 V3
E04417.mat 16x1+24 1000.0(0)/mV 16 0 19 22793 0 V4
E04417.mat 16x1+24 1000.0(0)/mV 16 0 78 -27172 0 V5
E04417.mat 16x1+24 1000.0(0)/mV 16 0 73 -22904 0 V6
# Age: 71
# Sex: Male
# Dx: 428750005,59118001,425623009,59931005,164934002
# Rx: Unknown
# Hx: Unknown