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

File: <base>/training/georgia/g9/E08732.hea (707 bytes) 
E08732 12 500 5000
E08732.mat 16x1+24 1000.0(0)/mV 16 0 -9 27025 0 I
E08732.mat 16x1+24 1000.0(0)/mV 16 0 19 -9121 0 II
E08732.mat 16x1+24 1000.0(0)/mV 16 0 29 29488 0 III
E08732.mat 16x1+24 1000.0(0)/mV 16 0 -4 -8847 0 aVR
E08732.mat 16x1+24 1000.0(0)/mV 16 0 -19 31935 0 aVL
E08732.mat 16x1+24 1000.0(0)/mV 16 0 24 -22637 0 aVF
E08732.mat 16x1+24 1000.0(0)/mV 16 0 19 -16725 0 V1
E08732.mat 16x1+24 1000.0(0)/mV 16 0 204 -22410 0 V2
E08732.mat 16x1+24 1000.0(0)/mV 16 0 195 8062 0 V3
E08732.mat 16x1+24 1000.0(0)/mV 16 0 195 -3444 0 V4
E08732.mat 16x1+24 1000.0(0)/mV 16 0 68 21499 0 V5
E08732.mat 16x1+24 1000.0(0)/mV 16 0 -58 -16467 0 V6
# Age: 56
# Sex: Male
# Dx: 59931005
# Rx: Unknown
# Hx: Unknown