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

File: <base>/training/georgia/g2/E01436.hea (715 bytes) 
E01436 12 500 5000
E01436.mat 16x1+24 1000.0(0)/mV 16 0 0 -5078 0 I
E01436.mat 16x1+24 1000.0(0)/mV 16 0 -29 18827 0 II
E01436.mat 16x1+24 1000.0(0)/mV 16 0 -29 23616 0 III
E01436.mat 16x1+24 1000.0(0)/mV 16 0 14 -7018 0 aVR
E01436.mat 16x1+24 1000.0(0)/mV 16 0 14 18696 0 aVL
E01436.mat 16x1+24 1000.0(0)/mV 16 0 -29 -11155 0 aVF
E01436.mat 16x1+24 1000.0(0)/mV 16 0 9 -17553 0 V1
E01436.mat 16x1+24 1000.0(0)/mV 16 0 0 -10060 0 V2
E01436.mat 16x1+24 1000.0(0)/mV 16 0 -9 23151 0 V3
E01436.mat 16x1+24 1000.0(0)/mV 16 0 -9 -14157 0 V4
E01436.mat 16x1+24 1000.0(0)/mV 16 0 -29 -5063 0 V5
E01436.mat 16x1+24 1000.0(0)/mV 16 0 -39 16 0 V6
# Age: 64
# Sex: Female
# Dx: 164889003,164934002
# Rx: Unknown
# Hx: Unknown