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

File: <base>/training/georgia/g10/E09753.hea (766 bytes) 
E09753 12 500 5000
E09753.mat 16x1+24 1000.0(0)/mV 16 0 126 9513 0 I
E09753.mat 16x1+24 1000.0(0)/mV 16 0 -244 -24364 0 II
E09753.mat 16x1+24 1000.0(0)/mV 16 0 -370 32092 0 III
E09753.mat 16x1+24 1000.0(0)/mV 16 0 58 -25579 0 aVR
E09753.mat 16x1+24 1000.0(0)/mV 16 0 248 22061 0 aVL
E09753.mat 16x1+24 1000.0(0)/mV 16 0 -307 3968 0 aVF
E09753.mat 16x1+24 1000.0(0)/mV 16 0 -97 29360 0 V1
E09753.mat 16x1+24 1000.0(0)/mV 16 0 -175 -24925 0 V2
E09753.mat 16x1+24 1000.0(0)/mV 16 0 -390 28211 0 V3
E09753.mat 16x1+24 1000.0(0)/mV 16 0 -546 20381 0 V4
E09753.mat 16x1+24 1000.0(0)/mV 16 0 -312 12118 0 V5
E09753.mat 16x1+24 1000.0(0)/mV 16 0 156 -18541 0 V6
# Age: 51
# Sex: Female
# Dx: 428750005,67741000119109,111975006,164930006,59931005
# Rx: Unknown
# Hx: Unknown