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

File: <base>/training/georgia/g10/E09181.hea (735 bytes) 
E09181 12 500 5000
E09181.mat 16x1+24 1000.0(0)/mV 16 0 -68 -137 0 I
E09181.mat 16x1+24 1000.0(0)/mV 16 0 -9 -30636 0 II
E09181.mat 16x1+24 1000.0(0)/mV 16 0 58 -31113 0 III
E09181.mat 16x1+24 1000.0(0)/mV 16 0 39 -17563 0 aVR
E09181.mat 16x1+24 1000.0(0)/mV 16 0 -63 15614 0 aVL
E09181.mat 16x1+24 1000.0(0)/mV 16 0 24 1442 0 aVF
E09181.mat 16x1+24 1000.0(0)/mV 16 0 58 -21946 0 V1
E09181.mat 16x1+24 1000.0(0)/mV 16 0 -68 -32544 0 V2
E09181.mat 16x1+24 1000.0(0)/mV 16 0 -68 24459 0 V3
E09181.mat 16x1+24 1000.0(0)/mV 16 0 -58 -17049 0 V4
E09181.mat 16x1+24 1000.0(0)/mV 16 0 -58 -20580 0 V5
E09181.mat 16x1+24 1000.0(0)/mV 16 0 -29 -19654 0 V6
# Age: 74
# Sex: Female
# Dx: 425623009,164934002,164917005
# Rx: Unknown
# Hx: Unknown