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

File: <base>/training/georgia/g9/E08237.hea (702 bytes) 
E08237 12 500 5000
E08237.mat 16x1+24 1000.0(0)/mV 16 0 29 -3414 0 I
E08237.mat 16x1+24 1000.0(0)/mV 16 0 53 -5644 0 II
E08237.mat 16x1+24 1000.0(0)/mV 16 0 24 -1865 0 III
E08237.mat 16x1+24 1000.0(0)/mV 16 0 -41 -28274 0 aVR
E08237.mat 16x1+24 1000.0(0)/mV 16 0 2 32040 0 aVL
E08237.mat 16x1+24 1000.0(0)/mV 16 0 39 -3827 0 aVF
E08237.mat 16x1+24 1000.0(0)/mV 16 0 -34 -15917 0 V1
E08237.mat 16x1+24 1000.0(0)/mV 16 0 4 1502 0 V2
E08237.mat 16x1+24 1000.0(0)/mV 16 0 34 14843 0 V3
E08237.mat 16x1+24 1000.0(0)/mV 16 0 9 28641 0 V4
E08237.mat 16x1+24 1000.0(0)/mV 16 0 165 10029 0 V5
E08237.mat 16x1+24 1000.0(0)/mV 16 0 -4 -17220 0 V6
# Age: 66
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown