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

File: <base>/training/georgia/g6/E05832.hea (747 bytes) 
E05832 12 500 5000
E05832.mat 16x1+24 1000.0(0)/mV 16 0 546 -12380 0 I
E05832.mat 16x1+24 1000.0(0)/mV 16 0 185 -26777 0 II
E05832.mat 16x1+24 1000.0(0)/mV 16 0 -361 -13844 0 III
E05832.mat 16x1+24 1000.0(0)/mV 16 0 -366 -13399 0 aVR
E05832.mat 16x1+24 1000.0(0)/mV 16 0 453 -32017 0 aVL
E05832.mat 16x1+24 1000.0(0)/mV 16 0 -87 -20445 0 aVF
E05832.mat 16x1+24 1000.0(0)/mV 16 0 -2244 1045 0 V1
E05832.mat 16x1+24 1000.0(0)/mV 16 0 -2781 -3443 0 V2
E05832.mat 16x1+24 1000.0(0)/mV 16 0 -370 24798 0 V3
E05832.mat 16x1+24 1000.0(0)/mV 16 0 527 -6077 0 V4
E05832.mat 16x1+24 1000.0(0)/mV 16 0 741 -9996 0 V5
E05832.mat 16x1+24 1000.0(0)/mV 16 0 634 -4187 0 V6
# Age: 76
# Sex: Male
# Dx: 164909002,67741000119109,6374002
# Rx: Unknown
# Hx: Unknown