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

File: <base>/training/cpsc_2018/g4/A3885.hea (699 bytes) 
A3885 12 500 7500
A3885.mat 16x1+24 1000.0(0)/mV 16 0 12 -3547 0 I
A3885.mat 16x1+24 1000.0(0)/mV 16 0 36 2707 0 II
A3885.mat 16x1+24 1000.0(0)/mV 16 0 23 -1246 0 III
A3885.mat 16x1+24 1000.0(0)/mV 16 0 -24 -3573 0 aVR
A3885.mat 16x1+24 1000.0(0)/mV 16 0 -5 2966 0 aVL
A3885.mat 16x1+24 1000.0(0)/mV 16 0 29 597 0 aVF
A3885.mat 16x1+24 1000.0(0)/mV 16 0 -58 1693 0 V1
A3885.mat 16x1+24 1000.0(0)/mV 16 0 -65 -534 0 V2
A3885.mat 16x1+24 1000.0(0)/mV 16 0 47 399 0 V3
A3885.mat 16x1+24 1000.0(0)/mV 16 0 -69 915 0 V4
A3885.mat 16x1+24 1000.0(0)/mV 16 0 -21 2022 0 V5
A3885.mat 16x1+24 1000.0(0)/mV 16 0 -119 -3544 0 V6
# Age: 60
# Sex: Female
# Dx: 429622005
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown