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

File: <base>/training/georgia/g2/E01377.hea (736 bytes) 
E01377 12 500 5000
E01377.mat 16x1+24 1000.0(0)/mV 16 0 -29 28380 0 I
E01377.mat 16x1+24 1000.0(0)/mV 16 0 -48 -12838 0 II
E01377.mat 16x1+24 1000.0(0)/mV 16 0 -19 24890 0 III
E01377.mat 16x1+24 1000.0(0)/mV 16 0 39 25001 0 aVR
E01377.mat 16x1+24 1000.0(0)/mV 16 0 -4 -30313 0 aVL
E01377.mat 16x1+24 1000.0(0)/mV 16 0 -34 6109 0 aVF
E01377.mat 16x1+24 1000.0(0)/mV 16 0 97 -27227 0 V1
E01377.mat 16x1+24 1000.0(0)/mV 16 0 107 24432 0 V2
E01377.mat 16x1+24 1000.0(0)/mV 16 0 97 -7890 0 V3
E01377.mat 16x1+24 1000.0(0)/mV 16 0 68 -11729 0 V4
E01377.mat 16x1+24 1000.0(0)/mV 16 0 -87 -12531 0 V5
E01377.mat 16x1+24 1000.0(0)/mV 16 0 -34 10995 0 V6
# Age: 44
# Sex: Male
# Dx: 67741000119109,427084000,164934002
# Rx: Unknown
# Hx: Unknown