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

File: <base>/training/georgia/g6/E05904.hea (730 bytes) 
E05904 12 500 5000
E05904.mat 16x1+24 1000.0(0)/mV 16 0 -73 -4937 0 I
E05904.mat 16x1+24 1000.0(0)/mV 16 0 -82 23910 0 II
E05904.mat 16x1+24 1000.0(0)/mV 16 0 -9 28200 0 III
E05904.mat 16x1+24 1000.0(0)/mV 16 0 78 -9385 0 aVR
E05904.mat 16x1+24 1000.0(0)/mV 16 0 -31 16265 0 aVL
E05904.mat 16x1+24 1000.0(0)/mV 16 0 -46 -6721 0 aVF
E05904.mat 16x1+24 1000.0(0)/mV 16 0 -43 7686 0 V1
E05904.mat 16x1+24 1000.0(0)/mV 16 0 -141 12457 0 V2
E05904.mat 16x1+24 1000.0(0)/mV 16 0 -141 -17059 0 V3
E05904.mat 16x1+24 1000.0(0)/mV 16 0 -92 18321 0 V4
E05904.mat 16x1+24 1000.0(0)/mV 16 0 -146 9606 0 V5
E05904.mat 16x1+24 1000.0(0)/mV 16 0 -117 5197 0 V6
# Age: 52
# Sex: Male
# Dx: 59118001,270492004,39732003
# Rx: Unknown
# Hx: Unknown