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

File: <base>/training/georgia/g9/E08962.hea (732 bytes) 
E08962 12 500 5000
E08962.mat 16x1+24 1000.0(0)/mV 16 0 -34 18683 0 I
E08962.mat 16x1+24 1000.0(0)/mV 16 0 117 -15113 0 II
E08962.mat 16x1+24 1000.0(0)/mV 16 0 151 32303 0 III
E08962.mat 16x1+24 1000.0(0)/mV 16 0 -41 -1878 0 aVR
E08962.mat 16x1+24 1000.0(0)/mV 16 0 -92 -6769 0 aVL
E08962.mat 16x1+24 1000.0(0)/mV 16 0 134 8657 0 aVF
E08962.mat 16x1+24 1000.0(0)/mV 16 0 -87 11634 0 V1
E08962.mat 16x1+24 1000.0(0)/mV 16 0 -53 -6230 0 V2
E08962.mat 16x1+24 1000.0(0)/mV 16 0 -34 -28553 0 V3
E08962.mat 16x1+24 1000.0(0)/mV 16 0 -19 -29795 0 V4
E08962.mat 16x1+24 1000.0(0)/mV 16 0 -29 28913 0 V5
E08962.mat 16x1+24 1000.0(0)/mV 16 0 -4 11749 0 V6
# Age: 59
# Sex: Male
# Dx: 426177001,251146004,55930002
# Rx: Unknown
# Hx: Unknown