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

File: <base>/training/georgia/g10/E09732.hea (730 bytes) 
E09732 12 500 5000
E09732.mat 16x1+24 1000.0(0)/mV 16 0 -165 -6438 0 I
E09732.mat 16x1+24 1000.0(0)/mV 16 0 -107 1180 0 II
E09732.mat 16x1+24 1000.0(0)/mV 16 0 58 7529 0 III
E09732.mat 16x1+24 1000.0(0)/mV 16 0 136 -30202 0 aVR
E09732.mat 16x1+24 1000.0(0)/mV 16 0 -112 -7142 0 aVL
E09732.mat 16x1+24 1000.0(0)/mV 16 0 -24 -28508 0 aVF
E09732.mat 16x1+24 1000.0(0)/mV 16 0 78 -172 0 V1
E09732.mat 16x1+24 1000.0(0)/mV 16 0 156 30772 0 V2
E09732.mat 16x1+24 1000.0(0)/mV 16 0 175 15328 0 V3
E09732.mat 16x1+24 1000.0(0)/mV 16 0 97 -4207 0 V4
E09732.mat 16x1+24 1000.0(0)/mV 16 0 29 -8088 0 V5
E09732.mat 16x1+24 1000.0(0)/mV 16 0 -19 29002 0 V6
# Age: 80
# Sex: Male
# Dx: 111975006,426177001,164934002
# Rx: Unknown
# Hx: Unknown