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

File: <base>/training/georgia/g10/E09104.hea (714 bytes) 
E09104 12 500 5000
E09104.mat 16x1+24 1000.0(0)/mV 16 0 -39 17416 0 I
E09104.mat 16x1+24 1000.0(0)/mV 16 0 -165 32010 0 II
E09104.mat 16x1+24 1000.0(0)/mV 16 0 -126 15310 0 III
E09104.mat 16x1+24 1000.0(0)/mV 16 0 102 8122 0 aVR
E09104.mat 16x1+24 1000.0(0)/mV 16 0 43 506 0 aVL
E09104.mat 16x1+24 1000.0(0)/mV 16 0 -146 -9244 0 aVF
E09104.mat 16x1+24 1000.0(0)/mV 16 0 58 13073 0 V1
E09104.mat 16x1+24 1000.0(0)/mV 16 0 9 -22906 0 V2
E09104.mat 16x1+24 1000.0(0)/mV 16 0 -126 -8579 0 V3
E09104.mat 16x1+24 1000.0(0)/mV 16 0 -253 10900 0 V4
E09104.mat 16x1+24 1000.0(0)/mV 16 0 -165 -21257 0 V5
E09104.mat 16x1+24 1000.0(0)/mV 16 0 -117 27161 0 V6
# Age: 19
# Sex: Male
# Dx: 427393009
# Rx: Unknown
# Hx: Unknown