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

File: <base>/training/georgia/g6/E05891.hea (723 bytes) 
E05891 12 500 5000
E05891.mat 16x1+24 1000.0(0)/mV 16 0 -82 -28337 0 I
E05891.mat 16x1+24 1000.0(0)/mV 16 0 -53 19268 0 II
E05891.mat 16x1+24 1000.0(0)/mV 16 0 29 -16594 0 III
E05891.mat 16x1+24 1000.0(0)/mV 16 0 68 -28281 0 aVR
E05891.mat 16x1+24 1000.0(0)/mV 16 0 -56 -6037 0 aVL
E05891.mat 16x1+24 1000.0(0)/mV 16 0 -12 -31465 0 aVF
E05891.mat 16x1+24 1000.0(0)/mV 16 0 0 -21471 0 V1
E05891.mat 16x1+24 1000.0(0)/mV 16 0 -53 -15714 0 V2
E05891.mat 16x1+24 1000.0(0)/mV 16 0 -63 -5908 0 V3
E05891.mat 16x1+24 1000.0(0)/mV 16 0 -82 -1222 0 V4
E05891.mat 16x1+24 1000.0(0)/mV 16 0 -92 1381 0 V5
E05891.mat 16x1+24 1000.0(0)/mV 16 0 -43 -8010 0 V6
# Age: 67
# Sex: Male
# Dx: 164873001,426177001
# Rx: Unknown
# Hx: Unknown