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

File: <base>/training/georgia/g10/E09949.hea (729 bytes) 
E09949 12 500 5000
E09949.mat 16x1+24 1000.0(0)/mV 16 0 -68 -10449 0 I
E09949.mat 16x1+24 1000.0(0)/mV 16 0 58 -18045 0 II
E09949.mat 16x1+24 1000.0(0)/mV 16 0 126 -8069 0 III
E09949.mat 16x1+24 1000.0(0)/mV 16 0 4 13799 0 aVR
E09949.mat 16x1+24 1000.0(0)/mV 16 0 -97 -994 0 aVL
E09949.mat 16x1+24 1000.0(0)/mV 16 0 92 -13049 0 aVF
E09949.mat 16x1+24 1000.0(0)/mV 16 0 292 31445 0 V1
E09949.mat 16x1+24 1000.0(0)/mV 16 0 419 8870 0 V2
E09949.mat 16x1+24 1000.0(0)/mV 16 0 302 25826 0 V3
E09949.mat 16x1+24 1000.0(0)/mV 16 0 -29 29697 0 V4
E09949.mat 16x1+24 1000.0(0)/mV 16 0 -39 -24512 0 V5
E09949.mat 16x1+24 1000.0(0)/mV 16 0 -68 4215 0 V6
# Age: 62
# Sex: Male
# Dx: 428750005,426177001,164873001
# Rx: Unknown
# Hx: Unknown