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

File: <base>/training/georgia/g10/E09454.hea (722 bytes) 
E09454 12 500 5000
E09454.mat 16x1+24 1000.0(0)/mV 16 0 -214 -25650 0 I
E09454.mat 16x1+24 1000.0(0)/mV 16 0 -48 -4651 0 II
E09454.mat 16x1+24 1000.0(0)/mV 16 0 165 21143 0 III
E09454.mat 16x1+24 1000.0(0)/mV 16 0 131 15114 0 aVR
E09454.mat 16x1+24 1000.0(0)/mV 16 0 -190 9205 0 aVL
E09454.mat 16x1+24 1000.0(0)/mV 16 0 58 -24813 0 aVF
E09454.mat 16x1+24 1000.0(0)/mV 16 0 458 -29269 0 V1
E09454.mat 16x1+24 1000.0(0)/mV 16 0 273 -31731 0 V2
E09454.mat 16x1+24 1000.0(0)/mV 16 0 -224 -32708 0 V3
E09454.mat 16x1+24 1000.0(0)/mV 16 0 -322 26413 0 V4
E09454.mat 16x1+24 1000.0(0)/mV 16 0 -302 -32737 0 V5
E09454.mat 16x1+24 1000.0(0)/mV 16 0 -244 -23985 0 V6
# Age: 65
# Sex: Male
# Dx: 59118001
# Rx: Unknown
# Hx: Unknown