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

File: <base>/training/georgia/g5/E04044.hea (716 bytes) 
E04044 12 500 5000
E04044.mat 16x1+24 1000.0(0)/mV 16 0 -19 -22419 0 I
E04044.mat 16x1+24 1000.0(0)/mV 16 0 -9 31877 0 II
E04044.mat 16x1+24 1000.0(0)/mV 16 0 9 -10678 0 III
E04044.mat 16x1+24 1000.0(0)/mV 16 0 14 28015 0 aVR
E04044.mat 16x1+24 1000.0(0)/mV 16 0 -14 -5104 0 aVL
E04044.mat 16x1+24 1000.0(0)/mV 16 0 0 -22022 0 aVF
E04044.mat 16x1+24 1000.0(0)/mV 16 0 -68 13636 0 V1
E04044.mat 16x1+24 1000.0(0)/mV 16 0 -29 20813 0 V2
E04044.mat 16x1+24 1000.0(0)/mV 16 0 204 -17885 0 V3
E04044.mat 16x1+24 1000.0(0)/mV 16 0 9 7522 0 V4
E04044.mat 16x1+24 1000.0(0)/mV 16 0 -19 -28035 0 V5
E04044.mat 16x1+24 1000.0(0)/mV 16 0 -39 -25743 0 V6
# Age: 51
# Sex: Female
# Dx: 67741000119109
# Rx: Unknown
# Hx: Unknown