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

File: <base>/training/georgia/g2/E01753.hea (726 bytes) 
E01753 12 500 5000
E01753.mat 16x1+24 1000.0(0)/mV 16 0 -9 -11608 0 I
E01753.mat 16x1+24 1000.0(0)/mV 16 0 -58 7904 0 II
E01753.mat 16x1+24 1000.0(0)/mV 16 0 -48 20187 0 III
E01753.mat 16x1+24 1000.0(0)/mV 16 0 34 1766 0 aVR
E01753.mat 16x1+24 1000.0(0)/mV 16 0 19 -15986 0 aVL
E01753.mat 16x1+24 1000.0(0)/mV 16 0 -53 14310 0 aVF
E01753.mat 16x1+24 1000.0(0)/mV 16 0 58 21856 0 V1
E01753.mat 16x1+24 1000.0(0)/mV 16 0 68 -32726 0 V2
E01753.mat 16x1+24 1000.0(0)/mV 16 0 19 25024 0 V3
E01753.mat 16x1+24 1000.0(0)/mV 16 0 39 -29071 0 V4
E01753.mat 16x1+24 1000.0(0)/mV 16 0 19 379 0 V5
E01753.mat 16x1+24 1000.0(0)/mV 16 0 -48 -10102 0 V6
# Age: 53
# Sex: Female
# Dx: 428750005,59931005,164873001
# Rx: Unknown
# Hx: Unknown