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

File: <base>/training/georgia/g5/E04884.hea (726 bytes) 
E04884 12 500 5000
E04884.mat 16x1+24 1000.0(0)/mV 16 0 -58 11886 0 I
E04884.mat 16x1+24 1000.0(0)/mV 16 0 -39 -30001 0 II
E04884.mat 16x1+24 1000.0(0)/mV 16 0 19 22982 0 III
E04884.mat 16x1+24 1000.0(0)/mV 16 0 48 -23786 0 aVR
E04884.mat 16x1+24 1000.0(0)/mV 16 0 -39 27373 0 aVL
E04884.mat 16x1+24 1000.0(0)/mV 16 0 -9 -3107 0 aVF
E04884.mat 16x1+24 1000.0(0)/mV 16 0 -185 -4745 0 V1
E04884.mat 16x1+24 1000.0(0)/mV 16 0 -68 -20282 0 V2
E04884.mat 16x1+24 1000.0(0)/mV 16 0 -39 -19969 0 V3
E04884.mat 16x1+24 1000.0(0)/mV 16 0 -19 17442 0 V4
E04884.mat 16x1+24 1000.0(0)/mV 16 0 -48 9653 0 V5
E04884.mat 16x1+24 1000.0(0)/mV 16 0 -29 -23936 0 V6
# Age: 46
# Sex: Female
# Dx: 426177001,251146004
# Rx: Unknown
# Hx: Unknown