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

File: <base>/training/georgia/g2/E01585.hea (735 bytes) 
E01585 12 500 5000
E01585.mat 16x1+24 1000.0(0)/mV 16 0 -9 -21833 0 I
E01585.mat 16x1+24 1000.0(0)/mV 16 0 -146 -27827 0 II
E01585.mat 16x1+24 1000.0(0)/mV 16 0 -136 -5376 0 III
E01585.mat 16x1+24 1000.0(0)/mV 16 0 78 -7918 0 aVR
E01585.mat 16x1+24 1000.0(0)/mV 16 0 63 24281 0 aVL
E01585.mat 16x1+24 1000.0(0)/mV 16 0 -141 -16605 0 aVF
E01585.mat 16x1+24 1000.0(0)/mV 16 0 78 -3489 0 V1
E01585.mat 16x1+24 1000.0(0)/mV 16 0 19 -2332 0 V2
E01585.mat 16x1+24 1000.0(0)/mV 16 0 165 -23773 0 V3
E01585.mat 16x1+24 1000.0(0)/mV 16 0 380 19320 0 V4
E01585.mat 16x1+24 1000.0(0)/mV 16 0 58 -9463 0 V5
E01585.mat 16x1+24 1000.0(0)/mV 16 0 -29 29662 0 V6
# Age: 54
# Sex: Female
# Dx: 111975006,164930006,164934002
# Rx: Unknown
# Hx: Unknown