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

File: <base>/training/georgia/g6/E05284.hea (713 bytes) 
E05284 12 500 5000
E05284.mat 16x1+24 1000.0(0)/mV 16 0 -29 29201 0 I
E05284.mat 16x1+24 1000.0(0)/mV 16 0 -39 9288 0 II
E05284.mat 16x1+24 1000.0(0)/mV 16 0 -9 -20019 0 III
E05284.mat 16x1+24 1000.0(0)/mV 16 0 34 13466 0 aVR
E05284.mat 16x1+24 1000.0(0)/mV 16 0 -9 24545 0 aVL
E05284.mat 16x1+24 1000.0(0)/mV 16 0 -24 27341 0 aVF
E05284.mat 16x1+24 1000.0(0)/mV 16 0 48 21531 0 V1
E05284.mat 16x1+24 1000.0(0)/mV 16 0 -29 6025 0 V2
E05284.mat 16x1+24 1000.0(0)/mV 16 0 -29 -28887 0 V3
E05284.mat 16x1+24 1000.0(0)/mV 16 0 48 3487 0 V4
E05284.mat 16x1+24 1000.0(0)/mV 16 0 9 4473 0 V5
E05284.mat 16x1+24 1000.0(0)/mV 16 0 -19 10229 0 V6
# Age: 78
# Sex: Male
# Dx: 164889003,251146004
# Rx: Unknown
# Hx: Unknown