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

File: <base>/training/georgia/g6/E05962.hea (710 bytes) 
E05962 12 500 5000
E05962.mat 16x1+24 1000.0(0)/mV 16 0 0 -9093 0 I
E05962.mat 16x1+24 1000.0(0)/mV 16 0 -87 -27159 0 II
E05962.mat 16x1+24 1000.0(0)/mV 16 0 -87 -17764 0 III
E05962.mat 16x1+24 1000.0(0)/mV 16 0 43 18034 0 aVR
E05962.mat 16x1+24 1000.0(0)/mV 16 0 43 -28424 0 aVL
E05962.mat 16x1+24 1000.0(0)/mV 16 0 -87 10581 0 aVF
E05962.mat 16x1+24 1000.0(0)/mV 16 0 156 -17017 0 V1
E05962.mat 16x1+24 1000.0(0)/mV 16 0 292 8142 0 V2
E05962.mat 16x1+24 1000.0(0)/mV 16 0 263 5226 0 V3
E05962.mat 16x1+24 1000.0(0)/mV 16 0 165 1770 0 V4
E05962.mat 16x1+24 1000.0(0)/mV 16 0 283 -15492 0 V5
E05962.mat 16x1+24 1000.0(0)/mV 16 0 234 22300 0 V6
# Age: 74
# Sex: Male
# Dx: 164934002
# Rx: Unknown
# Hx: Unknown