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

File: <base>/training/georgia/g10/E09859.hea (726 bytes) 
E09859 12 500 5000
E09859.mat 16x1+24 1000.0(0)/mV 16 0 156 -25620 0 I
E09859.mat 16x1+24 1000.0(0)/mV 16 0 351 -4575 0 II
E09859.mat 16x1+24 1000.0(0)/mV 16 0 195 20530 0 III
E09859.mat 16x1+24 1000.0(0)/mV 16 0 -253 15338 0 aVR
E09859.mat 16x1+24 1000.0(0)/mV 16 0 -19 -23182 0 aVL
E09859.mat 16x1+24 1000.0(0)/mV 16 0 273 8022 0 aVF
E09859.mat 16x1+24 1000.0(0)/mV 16 0 -244 22923 0 V1
E09859.mat 16x1+24 1000.0(0)/mV 16 0 48 13891 0 V2
E09859.mat 16x1+24 1000.0(0)/mV 16 0 -29 -1218 0 V3
E09859.mat 16x1+24 1000.0(0)/mV 16 0 595 -23890 0 V4
E09859.mat 16x1+24 1000.0(0)/mV 16 0 1024 2251 0 V5
E09859.mat 16x1+24 1000.0(0)/mV 16 0 1044 14165 0 V6
# Age: 73
# Sex: Male
# Dx: 427084000,284470004
# Rx: Unknown
# Hx: Unknown