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

File: <base>/training/georgia/g2/E01482.hea (714 bytes) 
E01482 12 500 5000
E01482.mat 16x1+24 1000.0(0)/mV 16 0 9 -15526 0 I
E01482.mat 16x1+24 1000.0(0)/mV 16 0 -29 22174 0 II
E01482.mat 16x1+24 1000.0(0)/mV 16 0 -39 -27405 0 III
E01482.mat 16x1+24 1000.0(0)/mV 16 0 9 29516 0 aVR
E01482.mat 16x1+24 1000.0(0)/mV 16 0 24 6026 0 aVL
E01482.mat 16x1+24 1000.0(0)/mV 16 0 -34 30152 0 aVF
E01482.mat 16x1+24 1000.0(0)/mV 16 0 97 8430 0 V1
E01482.mat 16x1+24 1000.0(0)/mV 16 0 214 19373 0 V2
E01482.mat 16x1+24 1000.0(0)/mV 16 0 97 18989 0 V3
E01482.mat 16x1+24 1000.0(0)/mV 16 0 97 10171 0 V4
E01482.mat 16x1+24 1000.0(0)/mV 16 0 146 3542 0 V5
E01482.mat 16x1+24 1000.0(0)/mV 16 0 -39 -21678 0 V6
# Age: 78
# Sex: Male
# Dx: 698252002,428750005
# Rx: Unknown
# Hx: Unknown