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

File: <base>/training/georgia/g3/E02532.hea (762 bytes) 
E02532 12 500 5000
E02532.mat 16x1+24 1000.0(0)/mV 16 0 -14 -26162 0 I
E02532.mat 16x1+24 1000.0(0)/mV 16 0 -78 26766 0 II
E02532.mat 16x1+24 1000.0(0)/mV 16 0 -63 -12045 0 III
E02532.mat 16x1+24 1000.0(0)/mV 16 0 46 -325 0 aVR
E02532.mat 16x1+24 1000.0(0)/mV 16 0 24 25962 0 aVL
E02532.mat 16x1+24 1000.0(0)/mV 16 0 -70 -25162 0 aVF
E02532.mat 16x1+24 1000.0(0)/mV 16 0 24 -18094 0 V1
E02532.mat 16x1+24 1000.0(0)/mV 16 0 117 32407 0 V2
E02532.mat 16x1+24 1000.0(0)/mV 16 0 58 17031 0 V3
E02532.mat 16x1+24 1000.0(0)/mV 16 0 -19 -30760 0 V4
E02532.mat 16x1+24 1000.0(0)/mV 16 0 -29 -10393 0 V5
E02532.mat 16x1+24 1000.0(0)/mV 16 0 -58 6649 0 V6
# Age: 70
# Sex: Male
# Dx: 111975006,164930006,426177001,426434006,164934002,164917005
# Rx: Unknown
# Hx: Unknown