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

File: <base>/training/georgia/g10/E09188.hea (717 bytes) 
E09188 12 500 5000
E09188.mat 16x1+24 1000.0(0)/mV 16 0 -161 29972 0 I
E09188.mat 16x1+24 1000.0(0)/mV 16 0 -204 29523 0 II
E09188.mat 16x1+24 1000.0(0)/mV 16 0 -43 497 0 III
E09188.mat 16x1+24 1000.0(0)/mV 16 0 183 -29643 0 aVR
E09188.mat 16x1+24 1000.0(0)/mV 16 0 -58 14837 0 aVL
E09188.mat 16x1+24 1000.0(0)/mV 16 0 -124 15104 0 aVF
E09188.mat 16x1+24 1000.0(0)/mV 16 0 -63 26111 0 V1
E09188.mat 16x1+24 1000.0(0)/mV 16 0 -185 31363 0 V2
E09188.mat 16x1+24 1000.0(0)/mV 16 0 -141 13304 0 V3
E09188.mat 16x1+24 1000.0(0)/mV 16 0 -122 -12195 0 V4
E09188.mat 16x1+24 1000.0(0)/mV 16 0 -82 -5705 0 V5
E09188.mat 16x1+24 1000.0(0)/mV 16 0 -92 7908 0 V6
# Age: 50
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown