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

File: <base>/training/georgia/g6/E05908.hea (739 bytes) 
E05908 12 500 5000
E05908.mat 16x1+24 1000.0(0)/mV 16 0 468 -2773 0 I
E05908.mat 16x1+24 1000.0(0)/mV 16 0 380 26147 0 II
E05908.mat 16x1+24 1000.0(0)/mV 16 0 -87 29265 0 III
E05908.mat 16x1+24 1000.0(0)/mV 16 0 -424 -11626 0 aVR
E05908.mat 16x1+24 1000.0(0)/mV 16 0 278 17582 0 aVL
E05908.mat 16x1+24 1000.0(0)/mV 16 0 146 -4778 0 aVF
E05908.mat 16x1+24 1000.0(0)/mV 16 0 19 30973 0 V1
E05908.mat 16x1+24 1000.0(0)/mV 16 0 341 -24845 0 V2
E05908.mat 16x1+24 1000.0(0)/mV 16 0 458 -6590 0 V3
E05908.mat 16x1+24 1000.0(0)/mV 16 0 644 13654 0 V4
E05908.mat 16x1+24 1000.0(0)/mV 16 0 653 11307 0 V5
E05908.mat 16x1+24 1000.0(0)/mV 16 0 605 -12066 0 V6
# Age: 58
# Sex: Male
# Dx: 67741000119109,427084000,59931005
# Rx: Unknown
# Hx: Unknown