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

File: <base>/training/georgia/g10/E09920.hea (734 bytes) 
E09920 12 500 5000
E09920.mat 16x1+24 1000.0(0)/mV 16 0 -136 -24250 0 I
E09920.mat 16x1+24 1000.0(0)/mV 16 0 -180 -28065 0 II
E09920.mat 16x1+24 1000.0(0)/mV 16 0 -43 -3615 0 III
E09920.mat 16x1+24 1000.0(0)/mV 16 0 158 26179 0 aVR
E09920.mat 16x1+24 1000.0(0)/mV 16 0 -46 -9719 0 aVL
E09920.mat 16x1+24 1000.0(0)/mV 16 0 -112 -15520 0 aVF
E09920.mat 16x1+24 1000.0(0)/mV 16 0 14 18178 0 V1
E09920.mat 16x1+24 1000.0(0)/mV 16 0 -117 -30134 0 V2
E09920.mat 16x1+24 1000.0(0)/mV 16 0 -87 -16533 0 V3
E09920.mat 16x1+24 1000.0(0)/mV 16 0 -102 -28645 0 V4
E09920.mat 16x1+24 1000.0(0)/mV 16 0 -97 -9995 0 V5
E09920.mat 16x1+24 1000.0(0)/mV 16 0 -97 -21094 0 V6
# Age: NaN
# Sex: Male
# Dx: 428750005,427084000
# Rx: Unknown
# Hx: Unknown