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

File: <base>/training/georgia/g4/E03262.hea (714 bytes) 
E03262 12 500 5000
E03262.mat 16x1+24 1000.0(0)/mV 16 0 -87 -23876 0 I
E03262.mat 16x1+24 1000.0(0)/mV 16 0 -92 30667 0 II
E03262.mat 16x1+24 1000.0(0)/mV 16 0 -4 -10609 0 III
E03262.mat 16x1+24 1000.0(0)/mV 16 0 90 -3566 0 aVR
E03262.mat 16x1+24 1000.0(0)/mV 16 0 -41 26206 0 aVL
E03262.mat 16x1+24 1000.0(0)/mV 16 0 -48 -22744 0 aVF
E03262.mat 16x1+24 1000.0(0)/mV 16 0 82 2388 0 V1
E03262.mat 16x1+24 1000.0(0)/mV 16 0 -34 21351 0 V2
E03262.mat 16x1+24 1000.0(0)/mV 16 0 -63 29715 0 V3
E03262.mat 16x1+24 1000.0(0)/mV 16 0 -63 14434 0 V4
E03262.mat 16x1+24 1000.0(0)/mV 16 0 -58 23954 0 V5
E03262.mat 16x1+24 1000.0(0)/mV 16 0 -58 -29051 0 V6
# Age: 65
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown