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

File: <base>/training/georgia/g10/E09911.hea (711 bytes) 
E09911 12 500 5000
E09911.mat 16x1+24 1000.0(0)/mV 16 0 -87 -20506 0 I
E09911.mat 16x1+24 1000.0(0)/mV 16 0 -117 -2452 0 II
E09911.mat 16x1+24 1000.0(0)/mV 16 0 -29 18305 0 III
E09911.mat 16x1+24 1000.0(0)/mV 16 0 102 -21243 0 aVR
E09911.mat 16x1+24 1000.0(0)/mV 16 0 -29 13810 0 aVL
E09911.mat 16x1+24 1000.0(0)/mV 16 0 -73 7966 0 aVF
E09911.mat 16x1+24 1000.0(0)/mV 16 0 0 20221 0 V1
E09911.mat 16x1+24 1000.0(0)/mV 16 0 126 29686 0 V2
E09911.mat 16x1+24 1000.0(0)/mV 16 0 -9 -14453 0 V3
E09911.mat 16x1+24 1000.0(0)/mV 16 0 -9 -10453 0 V4
E09911.mat 16x1+24 1000.0(0)/mV 16 0 -9 17415 0 V5
E09911.mat 16x1+24 1000.0(0)/mV 16 0 -87 17716 0 V6
# Age: 44
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown