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

File: <base>/training/georgia/g8/E07908.hea (716 bytes) 
E07908 12 500 5000
E07908.mat 16x1+24 1000.0(0)/mV 16 0 932 -10760 0 I
E07908.mat 16x1+24 1000.0(0)/mV 16 0 244 -1191 0 II
E07908.mat 16x1+24 1000.0(0)/mV 16 0 -688 9195 0 III
E07908.mat 16x1+24 1000.0(0)/mV 16 0 -588 6132 0 aVR
E07908.mat 16x1+24 1000.0(0)/mV 16 0 810 -9901 0 aVL
E07908.mat 16x1+24 1000.0(0)/mV 16 0 -222 3658 0 aVF
E07908.mat 16x1+24 1000.0(0)/mV 16 0 34 -17128 0 V1
E07908.mat 16x1+24 1000.0(0)/mV 16 0 263 -21223 0 V2
E07908.mat 16x1+24 1000.0(0)/mV 16 0 -307 -1475 0 V3
E07908.mat 16x1+24 1000.0(0)/mV 16 0 956 23827 0 V4
E07908.mat 16x1+24 1000.0(0)/mV 16 0 1883 -27206 0 V5
E07908.mat 16x1+24 1000.0(0)/mV 16 0 326 -7933 0 V6
# Age: 60
# Sex: Male
# Dx: 39732003
# Rx: Unknown
# Hx: Unknown