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

File: <base>/training/georgia/g10/E09632.hea (734 bytes) 
E09632 12 500 5000
E09632.mat 16x1+24 1000.0(0)/mV 16 0 9 -10611 0 I
E09632.mat 16x1+24 1000.0(0)/mV 16 0 87 16099 0 II
E09632.mat 16x1+24 1000.0(0)/mV 16 0 78 27450 0 III
E09632.mat 16x1+24 1000.0(0)/mV 16 0 -48 -2658 0 aVR
E09632.mat 16x1+24 1000.0(0)/mV 16 0 -34 -18806 0 aVL
E09632.mat 16x1+24 1000.0(0)/mV 16 0 82 21813 0 aVF
E09632.mat 16x1+24 1000.0(0)/mV 16 0 39 -989 0 V1
E09632.mat 16x1+24 1000.0(0)/mV 16 0 -146 14688 0 V2
E09632.mat 16x1+24 1000.0(0)/mV 16 0 -19 13802 0 V3
E09632.mat 16x1+24 1000.0(0)/mV 16 0 -19 -19341 0 V4
E09632.mat 16x1+24 1000.0(0)/mV 16 0 -68 -12643 0 V5
E09632.mat 16x1+24 1000.0(0)/mV 16 0 -87 7687 0 V6
# Age: 55
# Sex: Male
# Dx: 67741000119109,111975006,164930006
# Rx: Unknown
# Hx: Unknown