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

File: <base>/training/georgia/g6/E05862.hea (712 bytes) 
E05862 12 500 5000
E05862.mat 16x1+24 1000.0(0)/mV 16 0 -58 -2780 0 I
E05862.mat 16x1+24 1000.0(0)/mV 16 0 -19 -30999 0 II
E05862.mat 16x1+24 1000.0(0)/mV 16 0 39 -29026 0 III
E05862.mat 16x1+24 1000.0(0)/mV 16 0 39 16738 0 aVR
E05862.mat 16x1+24 1000.0(0)/mV 16 0 -48 13342 0 aVL
E05862.mat 16x1+24 1000.0(0)/mV 16 0 9 -30155 0 aVF
E05862.mat 16x1+24 1000.0(0)/mV 16 0 9 -14988 0 V1
E05862.mat 16x1+24 1000.0(0)/mV 16 0 -39 -1978 0 V2
E05862.mat 16x1+24 1000.0(0)/mV 16 0 97 -26149 0 V3
E05862.mat 16x1+24 1000.0(0)/mV 16 0 -58 -24338 0 V4
E05862.mat 16x1+24 1000.0(0)/mV 16 0 -48 -4462 0 V5
E05862.mat 16x1+24 1000.0(0)/mV 16 0 -48 -29875 0 V6
# Age: 83
# Sex: Male
# Dx: 164889003
# Rx: Unknown
# Hx: Unknown