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

File: <base>/training/georgia/g10/E09382.hea (722 bytes) 
E09382 12 500 5000
E09382.mat 16x1+24 1000.0(0)/mV 16 0 -29 17450 0 I
E09382.mat 16x1+24 1000.0(0)/mV 16 0 34 20197 0 II
E09382.mat 16x1+24 1000.0(0)/mV 16 0 63 3922 0 III
E09382.mat 16x1+24 1000.0(0)/mV 16 0 -2 -18721 0 aVR
E09382.mat 16x1+24 1000.0(0)/mV 16 0 -46 6364 0 aVL
E09382.mat 16x1+24 1000.0(0)/mV 16 0 48 12048 0 aVF
E09382.mat 16x1+24 1000.0(0)/mV 16 0 -4 10776 0 V1
E09382.mat 16x1+24 1000.0(0)/mV 16 0 -53 10550 0 V2
E09382.mat 16x1+24 1000.0(0)/mV 16 0 -14 18855 0 V3
E09382.mat 16x1+24 1000.0(0)/mV 16 0 -58 -32693 0 V4
E09382.mat 16x1+24 1000.0(0)/mV 16 0 -29 32668 0 V5
E09382.mat 16x1+24 1000.0(0)/mV 16 0 -39 24321 0 V6
# Age: 67
# Sex: Male
# Dx: 428750005,67741000119109
# Rx: Unknown
# Hx: Unknown