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

File: <base>/training/georgia/g10/E09867.hea (755 bytes) 
E09867 12 500 5000
E09867.mat 16x1+24 1000.0(0)/mV 16 0 -43 -11034 0 I
E09867.mat 16x1+24 1000.0(0)/mV 16 0 -390 -18827 0 II
E09867.mat 16x1+24 1000.0(0)/mV 16 0 -346 -7086 0 III
E09867.mat 16x1+24 1000.0(0)/mV 16 0 217 14968 0 aVR
E09867.mat 16x1+24 1000.0(0)/mV 16 0 151 -2875 0 aVL
E09867.mat 16x1+24 1000.0(0)/mV 16 0 -368 -13039 0 aVF
E09867.mat 16x1+24 1000.0(0)/mV 16 0 224 27230 0 V1
E09867.mat 16x1+24 1000.0(0)/mV 16 0 209 14130 0 V2
E09867.mat 16x1+24 1000.0(0)/mV 16 0 97 1852 0 V3
E09867.mat 16x1+24 1000.0(0)/mV 16 0 82 32277 0 V4
E09867.mat 16x1+24 1000.0(0)/mV 16 0 -517 2595 0 V5
E09867.mat 16x1+24 1000.0(0)/mV 16 0 -297 12828 0 V6
# Age: 58
# Sex: Male
# Dx: 698252002,428750005,47665007,427084000,111975006
# Rx: Unknown
# Hx: Unknown