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

File: <base>/training/georgia/g10/E09684.hea (707 bytes)
E09684 12 500 5000
E09684.mat 16x1+24 1000.0(0)/mV 16 0 126 -4507 0 I
E09684.mat 16x1+24 1000.0(0)/mV 16 0 87 -16622 0 II
E09684.mat 16x1+24 1000.0(0)/mV 16 0 -39 -11684 0 III
E09684.mat 16x1+24 1000.0(0)/mV 16 0 -107 10416 0 aVR
E09684.mat 16x1+24 1000.0(0)/mV 16 0 82 3387 0 aVL
E09684.mat 16x1+24 1000.0(0)/mV 16 0 24 -14238 0 aVF
E09684.mat 16x1+24 1000.0(0)/mV 16 0 -29 -3047 0 V1
E09684.mat 16x1+24 1000.0(0)/mV 16 0 136 26815 0 V2
E09684.mat 16x1+24 1000.0(0)/mV 16 0 39 -28060 0 V3
E09684.mat 16x1+24 1000.0(0)/mV 16 0 87 -24354 0 V4
E09684.mat 16x1+24 1000.0(0)/mV 16 0 58 7465 0 V5
E09684.mat 16x1+24 1000.0(0)/mV 16 0 0 9281 0 V6
# Age: 29
# Sex: Male
# Dx: 427084000
# Rx: Unknown
# Hx: Unknown