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

File: <base>/training/georgia/g10/E09092.hea (714 bytes) 
E09092 12 500 5000
E09092.mat 16x1+24 1000.0(0)/mV 16 0 -48 -10789 0 I
E09092.mat 16x1+24 1000.0(0)/mV 16 0 -29 -29586 0 II
E09092.mat 16x1+24 1000.0(0)/mV 16 0 19 -19168 0 III
E09092.mat 16x1+24 1000.0(0)/mV 16 0 39 -12671 0 aVR
E09092.mat 16x1+24 1000.0(0)/mV 16 0 -34 4384 0 aVL
E09092.mat 16x1+24 1000.0(0)/mV 16 0 -4 8448 0 aVF
E09092.mat 16x1+24 1000.0(0)/mV 16 0 -29 11220 0 V1
E09092.mat 16x1+24 1000.0(0)/mV 16 0 -58 -281 0 V2
E09092.mat 16x1+24 1000.0(0)/mV 16 0 -19 -25513 0 V3
E09092.mat 16x1+24 1000.0(0)/mV 16 0 -87 26083 0 V4
E09092.mat 16x1+24 1000.0(0)/mV 16 0 -117 30724 0 V5
E09092.mat 16x1+24 1000.0(0)/mV 16 0 -39 -3120 0 V6
# Age: 78
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown