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

File: <base>/training/georgia/g6/E05493.hea (742 bytes)
E05493 12 500 5000
E05493.mat 16x1+24 1000.0(0)/mV 16 0 68 -14530 0 I
E05493.mat 16x1+24 1000.0(0)/mV 16 0 -312 28914 0 II
E05493.mat 16x1+24 1000.0(0)/mV 16 0 -380 -22151 0 III
E05493.mat 16x1+24 1000.0(0)/mV 16 0 122 -7175 0 aVR
E05493.mat 16x1+24 1000.0(0)/mV 16 0 224 3930 0 aVL
E05493.mat 16x1+24 1000.0(0)/mV 16 0 -346 3453 0 aVF
E05493.mat 16x1+24 1000.0(0)/mV 16 0 -468 -15698 0 V1
E05493.mat 16x1+24 1000.0(0)/mV 16 0 -517 20782 0 V2
E05493.mat 16x1+24 1000.0(0)/mV 16 0 -595 28012 0 V3
E05493.mat 16x1+24 1000.0(0)/mV 16 0 -273 -16298 0 V4
E05493.mat 16x1+24 1000.0(0)/mV 16 0 48 -25902 0 V5
E05493.mat 16x1+24 1000.0(0)/mV 16 0 341 13777 0 V6
# Age: 58
# Sex: Female
# Dx: 428750005,111975006,164930006
# Rx: Unknown
# Hx: Unknown