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

File: <base>/training/georgia/g4/E03852.hea (742 bytes) 
E03852 12 500 5000
E03852.mat 16x1+24 1000.0(0)/mV 16 0 68 19717 0 I
E03852.mat 16x1+24 1000.0(0)/mV 16 0 -136 -5532 0 II
E03852.mat 16x1+24 1000.0(0)/mV 16 0 -204 -25563 0 III
E03852.mat 16x1+24 1000.0(0)/mV 16 0 34 25866 0 aVR
E03852.mat 16x1+24 1000.0(0)/mV 16 0 136 23199 0 aVL
E03852.mat 16x1+24 1000.0(0)/mV 16 0 -170 17334 0 aVF
E03852.mat 16x1+24 1000.0(0)/mV 16 0 -419 26239 0 V1
E03852.mat 16x1+24 1000.0(0)/mV 16 0 -29 27562 0 V2
E03852.mat 16x1+24 1000.0(0)/mV 16 0 39 -9558 0 V3
E03852.mat 16x1+24 1000.0(0)/mV 16 0 224 9235 0 V4
E03852.mat 16x1+24 1000.0(0)/mV 16 0 156 12354 0 V5
E03852.mat 16x1+24 1000.0(0)/mV 16 0 156 17142 0 V6
# Age: 73
# Sex: Male
# Dx: 164909002,270492004,39732003,426177001
# Rx: Unknown
# Hx: Unknown