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

File: <base>/training/georgia/g6/E05852.hea (732 bytes) 
E05852 12 500 5000
E05852.mat 16x1+24 1000.0(0)/mV 16 0 -9 -4809 0 I
E05852.mat 16x1+24 1000.0(0)/mV 16 0 39 -3406 0 II
E05852.mat 16x1+24 1000.0(0)/mV 16 0 48 2460 0 III
E05852.mat 16x1+24 1000.0(0)/mV 16 0 -14 4767 0 aVR
E05852.mat 16x1+24 1000.0(0)/mV 16 0 -29 -3481 0 aVL
E05852.mat 16x1+24 1000.0(0)/mV 16 0 43 -480 0 aVF
E05852.mat 16x1+24 1000.0(0)/mV 16 0 48 -11744 0 V1
E05852.mat 16x1+24 1000.0(0)/mV 16 0 -4 7363 0 V2
E05852.mat 16x1+24 1000.0(0)/mV 16 0 0 22097 0 V3
E05852.mat 16x1+24 1000.0(0)/mV 16 0 24 -13909 0 V4
E05852.mat 16x1+24 1000.0(0)/mV 16 0 58 -477 0 V5
E05852.mat 16x1+24 1000.0(0)/mV 16 0 68 -9134 0 V6
# Age: 60
# Sex: Male
# Dx: 445118002,59118001,67741000119109,270492004
# Rx: Unknown
# Hx: Unknown