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

File: <base>/training/georgia/g1/E00585.hea (723 bytes) 
E00585 12 500 5000
E00585.mat 16x1+24 1000.0(0)/mV 16 0 165 20146 0 I
E00585.mat 16x1+24 1000.0(0)/mV 16 0 165 18173 0 II
E00585.mat 16x1+24 1000.0(0)/mV 16 0 0 -1718 0 III
E00585.mat 16x1+24 1000.0(0)/mV 16 0 -165 -19136 0 aVR
E00585.mat 16x1+24 1000.0(0)/mV 16 0 82 11181 0 aVL
E00585.mat 16x1+24 1000.0(0)/mV 16 0 82 8169 0 aVF
E00585.mat 16x1+24 1000.0(0)/mV 16 0 -78 2298 0 V1
E00585.mat 16x1+24 1000.0(0)/mV 16 0 68 -4457 0 V2
E00585.mat 16x1+24 1000.0(0)/mV 16 0 48 7642 0 V3
E00585.mat 16x1+24 1000.0(0)/mV 16 0 48 -31814 0 V4
E00585.mat 16x1+24 1000.0(0)/mV 16 0 78 29939 0 V5
E00585.mat 16x1+24 1000.0(0)/mV 16 0 97 -6556 0 V6
# Age: 54
# Sex: Male
# Dx: 164889003,164890007,233917008
# Rx: Unknown
# Hx: Unknown