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

File: <base>/training/georgia/g1/E00522.hea (721 bytes) 
E00522 12 500 5000
E00522.mat 16x1+24 1000.0(0)/mV 16 0 -29 4539 0 I
E00522.mat 16x1+24 1000.0(0)/mV 16 0 -107 -7453 0 II
E00522.mat 16x1+24 1000.0(0)/mV 16 0 -78 -10538 0 III
E00522.mat 16x1+24 1000.0(0)/mV 16 0 68 1616 0 aVR
E00522.mat 16x1+24 1000.0(0)/mV 16 0 24 -25944 0 aVL
E00522.mat 16x1+24 1000.0(0)/mV 16 0 -92 23799 0 aVF
E00522.mat 16x1+24 1000.0(0)/mV 16 0 -39 24192 0 V1
E00522.mat 16x1+24 1000.0(0)/mV 16 0 -34 -858 0 V2
E00522.mat 16x1+24 1000.0(0)/mV 16 0 -19 18730 0 V3
E00522.mat 16x1+24 1000.0(0)/mV 16 0 63 -17048 0 V4
E00522.mat 16x1+24 1000.0(0)/mV 16 0 92 11665 0 V5
E00522.mat 16x1+24 1000.0(0)/mV 16 0 -58 15302 0 V6
# Age: 65
# Sex: Female
# Dx: 425419005,164934002
# Rx: Unknown
# Hx: Unknown