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

File: <base>/training/georgia/g9/E08618.hea (711 bytes) 
E08618 12 500 5000
E08618.mat 16x1+24 1000.0(0)/mV 16 0 370 6115 0 I
E08618.mat 16x1+24 1000.0(0)/mV 16 0 390 1999 0 II
E08618.mat 16x1+24 1000.0(0)/mV 16 0 19 -3763 0 III
E08618.mat 16x1+24 1000.0(0)/mV 16 0 -380 -4071 0 aVR
E08618.mat 16x1+24 1000.0(0)/mV 16 0 175 -27752 0 aVL
E08618.mat 16x1+24 1000.0(0)/mV 16 0 204 32022 0 aVF
E08618.mat 16x1+24 1000.0(0)/mV 16 0 -214 -536 0 V1
E08618.mat 16x1+24 1000.0(0)/mV 16 0 136 6050 0 V2
E08618.mat 16x1+24 1000.0(0)/mV 16 0 917 26294 0 V3
E08618.mat 16x1+24 1000.0(0)/mV 16 0 1141 -25549 0 V4
E08618.mat 16x1+24 1000.0(0)/mV 16 0 771 3670 0 V5
E08618.mat 16x1+24 1000.0(0)/mV 16 0 409 10192 0 V6
# Age: 41
# Sex: Male
# Dx: 426177001
# Rx: Unknown
# Hx: Unknown