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

File: <base>/training/georgia/g10/E09313.hea (723 bytes) 
E09313 12 500 5000
E09313.mat 16x1+24 1000.0(0)/mV 16 0 -48 -14805 0 I
E09313.mat 16x1+24 1000.0(0)/mV 16 0 9 -29898 0 II
E09313.mat 16x1+24 1000.0(0)/mV 16 0 58 -14479 0 III
E09313.mat 16x1+24 1000.0(0)/mV 16 0 19 22619 0 aVR
E09313.mat 16x1+24 1000.0(0)/mV 16 0 -53 -168 0 aVL
E09313.mat 16x1+24 1000.0(0)/mV 16 0 34 -22419 0 aVF
E09313.mat 16x1+24 1000.0(0)/mV 16 0 29 -17175 0 V1
E09313.mat 16x1+24 1000.0(0)/mV 16 0 -48 27357 0 V2
E09313.mat 16x1+24 1000.0(0)/mV 16 0 -19 -4499 0 V3
E09313.mat 16x1+24 1000.0(0)/mV 16 0 -9 11377 0 V4
E09313.mat 16x1+24 1000.0(0)/mV 16 0 9 -1275 0 V5
E09313.mat 16x1+24 1000.0(0)/mV 16 0 0 7535 0 V6
# Age: 85
# Sex: Male
# Dx: 39732003,713422000,164884008
# Rx: Unknown
# Hx: Unknown