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

File: <base>/training/georgia/g6/E05894.hea (709 bytes) 
E05894 12 500 5000
E05894.mat 16x1+24 1000.0(0)/mV 16 0 48 -6776 0 I
E05894.mat 16x1+24 1000.0(0)/mV 16 0 43 -10089 0 II
E05894.mat 16x1+24 1000.0(0)/mV 16 0 -4 -3096 0 III
E05894.mat 16x1+24 1000.0(0)/mV 16 0 -46 8342 0 aVR
E05894.mat 16x1+24 1000.0(0)/mV 16 0 26 -1981 0 aVL
E05894.mat 16x1+24 1000.0(0)/mV 16 0 19 -6714 0 aVF
E05894.mat 16x1+24 1000.0(0)/mV 16 0 0 -10536 0 V1
E05894.mat 16x1+24 1000.0(0)/mV 16 0 43 -3467 0 V2
E05894.mat 16x1+24 1000.0(0)/mV 16 0 -87 -8721 0 V3
E05894.mat 16x1+24 1000.0(0)/mV 16 0 -92 -19200 0 V4
E05894.mat 16x1+24 1000.0(0)/mV 16 0 -117 -1322 0 V5
E05894.mat 16x1+24 1000.0(0)/mV 16 0 -102 -10233 0 V6
# Age: 50
# Sex: Male
# Dx: 713426002
# Rx: Unknown
# Hx: Unknown