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

File: <base>/training/georgia/g10/E09959.hea (712 bytes) 
E09959 12 500 5000
E09959.mat 16x1+24 1000.0(0)/mV 16 0 -48 12255 0 I
E09959.mat 16x1+24 1000.0(0)/mV 16 0 0 -17897 0 II
E09959.mat 16x1+24 1000.0(0)/mV 16 0 48 -30473 0 III
E09959.mat 16x1+24 1000.0(0)/mV 16 0 24 -30273 0 aVR
E09959.mat 16x1+24 1000.0(0)/mV 16 0 -48 21132 0 aVL
E09959.mat 16x1+24 1000.0(0)/mV 16 0 24 8681 0 aVF
E09959.mat 16x1+24 1000.0(0)/mV 16 0 58 22395 0 V1
E09959.mat 16x1+24 1000.0(0)/mV 16 0 0 15401 0 V2
E09959.mat 16x1+24 1000.0(0)/mV 16 0 58 -16353 0 V3
E09959.mat 16x1+24 1000.0(0)/mV 16 0 -58 -29819 0 V4
E09959.mat 16x1+24 1000.0(0)/mV 16 0 -97 32292 0 V5
E09959.mat 16x1+24 1000.0(0)/mV 16 0 -87 24283 0 V6
# Age: 75
# Sex: Male
# Dx: 67741000119109
# Rx: Unknown
# Hx: Unknown