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

File: <base>/training/georgia/g10/E09565.hea (756 bytes) 
E09565 12 500 5000
E09565.mat 16x1+24 1000.0(0)/mV 16 0 -24 7224 0 I
E09565.mat 16x1+24 1000.0(0)/mV 16 0 -78 -21543 0 II
E09565.mat 16x1+24 1000.0(0)/mV 16 0 -53 -27565 0 III
E09565.mat 16x1+24 1000.0(0)/mV 16 0 51 -25632 0 aVR
E09565.mat 16x1+24 1000.0(0)/mV 16 0 14 17002 0 aVL
E09565.mat 16x1+24 1000.0(0)/mV 16 0 -65 8169 0 aVF
E09565.mat 16x1+24 1000.0(0)/mV 16 0 43 -27662 0 V1
E09565.mat 16x1+24 1000.0(0)/mV 16 0 29 -26168 0 V2
E09565.mat 16x1+24 1000.0(0)/mV 16 0 0 -13036 0 V3
E09565.mat 16x1+24 1000.0(0)/mV 16 0 -126 11080 0 V4
E09565.mat 16x1+24 1000.0(0)/mV 16 0 -112 11853 0 V5
E09565.mat 16x1+24 1000.0(0)/mV 16 0 -73 -1461 0 V6
# Age: 62
# Sex: Male
# Dx: 164873001,67741000119109,266249003,59931005,111975006
# Rx: Unknown
# Hx: Unknown