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

File: <base>/training/georgia/g10/E09803.hea (729 bytes) 
E09803 12 500 5000
E09803.mat 16x1+24 1000.0(0)/mV 16 0 -19 -15869 0 I
E09803.mat 16x1+24 1000.0(0)/mV 16 0 -29 -17245 0 II
E09803.mat 16x1+24 1000.0(0)/mV 16 0 -9 -702 0 III
E09803.mat 16x1+24 1000.0(0)/mV 16 0 24 16421 0 aVR
E09803.mat 16x1+24 1000.0(0)/mV 16 0 -4 -6573 0 aVL
E09803.mat 16x1+24 1000.0(0)/mV 16 0 -19 -8625 0 aVF
E09803.mat 16x1+24 1000.0(0)/mV 16 0 0 -15915 0 V1
E09803.mat 16x1+24 1000.0(0)/mV 16 0 -39 31371 0 V2
E09803.mat 16x1+24 1000.0(0)/mV 16 0 -68 16254 0 V3
E09803.mat 16x1+24 1000.0(0)/mV 16 0 -68 21037 0 V4
E09803.mat 16x1+24 1000.0(0)/mV 16 0 -68 -7117 0 V5
E09803.mat 16x1+24 1000.0(0)/mV 16 0 -58 29065 0 V6
# Age: 75
# Sex: Male
# Dx: 164884008,270492004,426177001
# Rx: Unknown
# Hx: Unknown