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

File: <base>/training/georgia/g6/E05327.hea (712 bytes) 
E05327 12 500 5000
E05327.mat 16x1+24 1000.0(0)/mV 16 0 -9 -19905 0 I
E05327.mat 16x1+24 1000.0(0)/mV 16 0 53 -24502 0 II
E05327.mat 16x1+24 1000.0(0)/mV 16 0 63 -4397 0 III
E05327.mat 16x1+24 1000.0(0)/mV 16 0 -21 -10555 0 aVR
E05327.mat 16x1+24 1000.0(0)/mV 16 0 -36 25085 0 aVL
E05327.mat 16x1+24 1000.0(0)/mV 16 0 58 -14351 0 aVF
E05327.mat 16x1+24 1000.0(0)/mV 16 0 -24 30322 0 V1
E05327.mat 16x1+24 1000.0(0)/mV 16 0 -53 28019 0 V2
E05327.mat 16x1+24 1000.0(0)/mV 16 0 -117 24994 0 V3
E05327.mat 16x1+24 1000.0(0)/mV 16 0 -82 25311 0 V4
E05327.mat 16x1+24 1000.0(0)/mV 16 0 -87 1212 0 V5
E05327.mat 16x1+24 1000.0(0)/mV 16 0 -63 25966 0 V6
# Age: 62
# Sex: Male
# Dx: 164889003
# Rx: Unknown
# Hx: Unknown