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

File: <base>/training/georgia/g5/E04941.hea (717 bytes) 
E04941 12 500 5000
E04941.mat 16x1+24 1000.0(0)/mV 16 0 -58 -10886 0 I
E04941.mat 16x1+24 1000.0(0)/mV 16 0 -68 -13902 0 II
E04941.mat 16x1+24 1000.0(0)/mV 16 0 -9 -3216 0 III
E04941.mat 16x1+24 1000.0(0)/mV 16 0 63 -20339 0 aVR
E04941.mat 16x1+24 1000.0(0)/mV 16 0 -24 -3683 0 aVL
E04941.mat 16x1+24 1000.0(0)/mV 16 0 -39 24369 0 aVF
E04941.mat 16x1+24 1000.0(0)/mV 16 0 -9 -27475 0 V1
E04941.mat 16x1+24 1000.0(0)/mV 16 0 -29 21359 0 V2
E04941.mat 16x1+24 1000.0(0)/mV 16 0 -19 -20743 0 V3
E04941.mat 16x1+24 1000.0(0)/mV 16 0 -29 -19484 0 V4
E04941.mat 16x1+24 1000.0(0)/mV 16 0 -39 -9220 0 V5
E04941.mat 16x1+24 1000.0(0)/mV 16 0 -68 16617 0 V6
# Age: 74
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown