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

File: <base>/training/georgia/g10/E09239.hea (730 bytes) 
E09239 12 500 5000
E09239.mat 16x1+24 1000.0(0)/mV 16 0 -78 -3923 0 I
E09239.mat 16x1+24 1000.0(0)/mV 16 0 175 20146 0 II
E09239.mat 16x1+24 1000.0(0)/mV 16 0 253 24777 0 III
E09239.mat 16x1+24 1000.0(0)/mV 16 0 -48 24343 0 aVR
E09239.mat 16x1+24 1000.0(0)/mV 16 0 -165 -14315 0 aVL
E09239.mat 16x1+24 1000.0(0)/mV 16 0 214 -10362 0 aVF
E09239.mat 16x1+24 1000.0(0)/mV 16 0 -136 5836 0 V1
E09239.mat 16x1+24 1000.0(0)/mV 16 0 -204 1712 0 V2
E09239.mat 16x1+24 1000.0(0)/mV 16 0 -204 438 0 V3
E09239.mat 16x1+24 1000.0(0)/mV 16 0 -185 -32505 0 V4
E09239.mat 16x1+24 1000.0(0)/mV 16 0 -214 6471 0 V5
E09239.mat 16x1+24 1000.0(0)/mV 16 0 -195 -26707 0 V6
# Age: 86
# Sex: Female
# Dx: 164873001,427393009
# Rx: Unknown
# Hx: Unknown