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

File: <base>/training/georgia/g2/E01364.hea (721 bytes) 
E01364 12 500 5000
E01364.mat 16x1+24 1000.0(0)/mV 16 0 -146 -6538 0 I
E01364.mat 16x1+24 1000.0(0)/mV 16 0 -224 -11722 0 II
E01364.mat 16x1+24 1000.0(0)/mV 16 0 -78 -4510 0 III
E01364.mat 16x1+24 1000.0(0)/mV 16 0 185 8977 0 aVR
E01364.mat 16x1+24 1000.0(0)/mV 16 0 -34 -1357 0 aVL
E01364.mat 16x1+24 1000.0(0)/mV 16 0 -151 -8074 0 aVF
E01364.mat 16x1+24 1000.0(0)/mV 16 0 87 -9764 0 V1
E01364.mat 16x1+24 1000.0(0)/mV 16 0 -214 -28942 0 V2
E01364.mat 16x1+24 1000.0(0)/mV 16 0 -312 21917 0 V3
E01364.mat 16x1+24 1000.0(0)/mV 16 0 -87 -21834 0 V4
E01364.mat 16x1+24 1000.0(0)/mV 16 0 -263 -28370 0 V5
E01364.mat 16x1+24 1000.0(0)/mV 16 0 -244 32443 0 V6
# Age: 24
# Sex: Male
# Dx: 713426002
# Rx: Unknown
# Hx: Unknown