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

File: <base>/training/georgia/g10/E09511.hea (711 bytes) 
E09511 12 500 5000
E09511.mat 16x1+24 1000.0(0)/mV 16 0 -4 -3742 0 I
E09511.mat 16x1+24 1000.0(0)/mV 16 0 -48 -19558 0 II
E09511.mat 16x1+24 1000.0(0)/mV 16 0 -43 -15657 0 III
E09511.mat 16x1+24 1000.0(0)/mV 16 0 26 11530 0 aVR
E09511.mat 16x1+24 1000.0(0)/mV 16 0 19 6132 0 aVL
E09511.mat 16x1+24 1000.0(0)/mV 16 0 -46 -17615 0 aVF
E09511.mat 16x1+24 1000.0(0)/mV 16 0 19 -22940 0 V1
E09511.mat 16x1+24 1000.0(0)/mV 16 0 4 17595 0 V2
E09511.mat 16x1+24 1000.0(0)/mV 16 0 -68 20151 0 V3
E09511.mat 16x1+24 1000.0(0)/mV 16 0 -244 23736 0 V4
E09511.mat 16x1+24 1000.0(0)/mV 16 0 -151 2237 0 V5
E09511.mat 16x1+24 1000.0(0)/mV 16 0 253 -359 0 V6
# Age: 36
# Sex: Female
# Dx: 428750005
# Rx: Unknown
# Hx: Unknown