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

File: <base>/training/georgia/g10/E09819.hea (734 bytes) 
E09819 12 500 5000
E09819.mat 16x1+24 1000.0(0)/mV 16 0 -141 -11262 0 I
E09819.mat 16x1+24 1000.0(0)/mV 16 0 -170 18497 0 II
E09819.mat 16x1+24 1000.0(0)/mV 16 0 -29 30729 0 III
E09819.mat 16x1+24 1000.0(0)/mV 16 0 156 29257 0 aVR
E09819.mat 16x1+24 1000.0(0)/mV 16 0 -56 12632 0 aVL
E09819.mat 16x1+24 1000.0(0)/mV 16 0 -100 24616 0 aVF
E09819.mat 16x1+24 1000.0(0)/mV 16 0 -87 23790 0 V1
E09819.mat 16x1+24 1000.0(0)/mV 16 0 -292 -2652 0 V2
E09819.mat 16x1+24 1000.0(0)/mV 16 0 -190 4275 0 V3
E09819.mat 16x1+24 1000.0(0)/mV 16 0 -185 -9611 0 V4
E09819.mat 16x1+24 1000.0(0)/mV 16 0 -204 -5336 0 V5
E09819.mat 16x1+24 1000.0(0)/mV 16 0 -131 9820 0 V6
# Age: 49
# Sex: Male
# Dx: 67741000119109,427084000
# Rx: Unknown
# Hx: Unknown