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

File: <base>/training/georgia/g1/E00963.hea (697 bytes) 
E00963 12 500 5000
E00963.mat 16x1+24 1000.0(0)/mV 16 0 -19 -386 0 I
E00963.mat 16x1+24 1000.0(0)/mV 16 0 -87 -23060 0 II
E00963.mat 16x1+24 1000.0(0)/mV 16 0 -68 -22545 0 III
E00963.mat 16x1+24 1000.0(0)/mV 16 0 53 -20977 0 aVR
E00963.mat 16x1+24 1000.0(0)/mV 16 0 24 10547 0 aVL
E00963.mat 16x1+24 1000.0(0)/mV 16 0 -78 9839 0 aVF
E00963.mat 16x1+24 1000.0(0)/mV 16 0 9 -28402 0 V1
E00963.mat 16x1+24 1000.0(0)/mV 16 0 -34 -9794 0 V2
E00963.mat 16x1+24 1000.0(0)/mV 16 0 -214 -16454 0 V3
E00963.mat 16x1+24 1000.0(0)/mV 16 0 -92 5638 0 V4
E00963.mat 16x1+24 1000.0(0)/mV 16 0 -92 5596 0 V5
E00963.mat 16x1+24 1000.0(0)/mV 16 0 -92 -30704 0 V6
# Age: 89
# Sex: Male
# Dx: 426177001
# Rx: Unknown