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

File: <base>/training/cpsc_2018/g7/A6452.hea (706 bytes) 
A6452 12 500 6500
A6452.mat 16x1+24 1000.0(0)/mV 16 0 -98 -805 0 I
A6452.mat 16x1+24 1000.0(0)/mV 16 0 -103 67 0 II
A6452.mat 16x1+24 1000.0(0)/mV 16 0 -5 872 0 III
A6452.mat 16x1+24 1000.0(0)/mV 16 0 101 3053 0 aVR
A6452.mat 16x1+24 1000.0(0)/mV 16 0 -46 -1405 0 aVL
A6452.mat 16x1+24 1000.0(0)/mV 16 0 -54 -2616 0 aVF
A6452.mat 16x1+24 1000.0(0)/mV 16 0 -168 754 0 V1
A6452.mat 16x1+24 1000.0(0)/mV 16 0 -261 -468 0 V2
A6452.mat 16x1+24 1000.0(0)/mV 16 0 -445 510 0 V3
A6452.mat 16x1+24 1000.0(0)/mV 16 0 -548 -90 0 V4
A6452.mat 16x1+24 1000.0(0)/mV 16 0 -561 1511 0 V5
A6452.mat 16x1+24 1000.0(0)/mV 16 0 -344 -2025 0 V6
# Age: 89
# Sex: Female
# Dx: 270492004
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown