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

File: <base>/training/georgia/g6/E05941.hea (735 bytes) 
E05941 12 500 5000
E05941.mat 16x1+24 1000.0(0)/mV 16 0 -165 -4133 0 I
E05941.mat 16x1+24 1000.0(0)/mV 16 0 -161 21850 0 II
E05941.mat 16x1+24 1000.0(0)/mV 16 0 4 25943 0 III
E05941.mat 16x1+24 1000.0(0)/mV 16 0 163 23898 0 aVR
E05941.mat 16x1+24 1000.0(0)/mV 16 0 -85 18226 0 aVL
E05941.mat 16x1+24 1000.0(0)/mV 16 0 -78 24198 0 aVF
E05941.mat 16x1+24 1000.0(0)/mV 16 0 112 -6717 0 V1
E05941.mat 16x1+24 1000.0(0)/mV 16 0 -73 -32589 0 V2
E05941.mat 16x1+24 1000.0(0)/mV 16 0 -73 6143 0 V3
E05941.mat 16x1+24 1000.0(0)/mV 16 0 -117 28202 0 V4
E05941.mat 16x1+24 1000.0(0)/mV 16 0 -136 31980 0 V5
E05941.mat 16x1+24 1000.0(0)/mV 16 0 -39 -27101 0 V6
# Age: 66
# Sex: Male
# Dx: 111975006,164931005,164873001
# Rx: Unknown
# Hx: Unknown