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

File: <base>/training/georgia/g1/E00792.hea (703 bytes) 
E00792 12 500 5000
E00792.mat 16x1+24 1000.0(0)/mV 16 0 0 -23656 0 I
E00792.mat 16x1+24 1000.0(0)/mV 16 0 -19 -2694 0 II
E00792.mat 16x1+24 1000.0(0)/mV 16 0 -19 20915 0 III
E00792.mat 16x1+24 1000.0(0)/mV 16 0 9 13121 0 aVR
E00792.mat 16x1+24 1000.0(0)/mV 16 0 9 -22113 0 aVL
E00792.mat 16x1+24 1000.0(0)/mV 16 0 -19 9097 0 aVF
E00792.mat 16x1+24 1000.0(0)/mV 16 0 -29 -30027 0 V1
E00792.mat 16x1+24 1000.0(0)/mV 16 0 48 14527 0 V2
E00792.mat 16x1+24 1000.0(0)/mV 16 0 19 -18479 0 V3
E00792.mat 16x1+24 1000.0(0)/mV 16 0 0 12033 0 V4
E00792.mat 16x1+24 1000.0(0)/mV 16 0 -29 24772 0 V5
E00792.mat 16x1+24 1000.0(0)/mV 16 0 0 22275 0 V6
# Age: 62
# Sex: Male
# Dx: 427084000
# Rx: Unknown
# Hx: Unknown