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

File: <base>/training/georgia/g10/E09288.hea (728 bytes) 
E09288 12 500 5000
E09288.mat 16x1+24 1000.0(0)/mV 16 0 -39 -24153 0 I
E09288.mat 16x1+24 1000.0(0)/mV 16 0 -146 30894 0 II
E09288.mat 16x1+24 1000.0(0)/mV 16 0 -107 -10254 0 III
E09288.mat 16x1+24 1000.0(0)/mV 16 0 92 29538 0 aVR
E09288.mat 16x1+24 1000.0(0)/mV 16 0 34 -7127 0 aVL
E09288.mat 16x1+24 1000.0(0)/mV 16 0 -126 -22464 0 aVF
E09288.mat 16x1+24 1000.0(0)/mV 16 0 126 31198 0 V1
E09288.mat 16x1+24 1000.0(0)/mV 16 0 175 -24700 0 V2
E09288.mat 16x1+24 1000.0(0)/mV 16 0 400 -24175 0 V3
E09288.mat 16x1+24 1000.0(0)/mV 16 0 263 23282 0 V4
E09288.mat 16x1+24 1000.0(0)/mV 16 0 19 7231 0 V5
E09288.mat 16x1+24 1000.0(0)/mV 16 0 -165 9288 0 V6
# Age: 57
# Sex: Female
# Dx: 427084000,164934002
# Rx: Unknown
# Hx: Unknown