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

File: <base>/training/georgia/g10/E09576.hea (714 bytes) 
E09576 12 500 5000
E09576.mat 16x1+24 1000.0(0)/mV 16 0 263 -16309 0 I
E09576.mat 16x1+24 1000.0(0)/mV 16 0 507 24770 0 II
E09576.mat 16x1+24 1000.0(0)/mV 16 0 244 -23507 0 III
E09576.mat 16x1+24 1000.0(0)/mV 16 0 -385 -4071 0 aVR
E09576.mat 16x1+24 1000.0(0)/mV 16 0 9 -29667 0 aVL
E09576.mat 16x1+24 1000.0(0)/mV 16 0 375 -32051 0 aVF
E09576.mat 16x1+24 1000.0(0)/mV 16 0 -292 -5677 0 V1
E09576.mat 16x1+24 1000.0(0)/mV 16 0 -117 10675 0 V2
E09576.mat 16x1+24 1000.0(0)/mV 16 0 0 31929 0 V3
E09576.mat 16x1+24 1000.0(0)/mV 16 0 136 9921 0 V4
E09576.mat 16x1+24 1000.0(0)/mV 16 0 370 16530 0 V5
E09576.mat 16x1+24 1000.0(0)/mV 16 0 312 -4046 0 V6
# Age: 61
# Sex: Male
# Dx: 164890007
# Rx: Unknown
# Hx: Unknown