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

File: <base>/training/georgia/g2/E01244.hea (748 bytes) 
E01244 12 500 5000
E01244.mat 16x1+24 1000.0(0)/mV 16 0 -214 -18281 0 I
E01244.mat 16x1+24 1000.0(0)/mV 16 0 -68 -20560 0 II
E01244.mat 16x1+24 1000.0(0)/mV 16 0 146 -2546 0 III
E01244.mat 16x1+24 1000.0(0)/mV 16 0 141 19190 0 aVR
E01244.mat 16x1+24 1000.0(0)/mV 16 0 -180 -7739 0 aVL
E01244.mat 16x1+24 1000.0(0)/mV 16 0 39 -11309 0 aVF
E01244.mat 16x1+24 1000.0(0)/mV 16 0 -351 29960 0 V1
E01244.mat 16x1+24 1000.0(0)/mV 16 0 -819 28591 0 V2
E01244.mat 16x1+24 1000.0(0)/mV 16 0 370 22330 0 V3
E01244.mat 16x1+24 1000.0(0)/mV 16 0 253 -26700 0 V4
E01244.mat 16x1+24 1000.0(0)/mV 16 0 0 29973 0 V5
E01244.mat 16x1+24 1000.0(0)/mV 16 0 -107 -19210 0 V6
# Age: 44
# Sex: Male
# Dx: 89792004,425623009,425419005,164934002
# Rx: Unknown
# Hx: Unknown