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

File: <base>/training/cpsc_2018/g4/A3909.hea (702 bytes) 
A3909 12 500 6499
A3909.mat 16x1+24 1000.0(0)/mV 16 0 -52 774 0 I
A3909.mat 16x1+24 1000.0(0)/mV 16 0 -30 -618 0 II
A3909.mat 16x1+24 1000.0(0)/mV 16 0 22 -1392 0 III
A3909.mat 16x1+24 1000.0(0)/mV 16 0 41 2692 0 aVR
A3909.mat 16x1+24 1000.0(0)/mV 16 0 -37 2091 0 aVL
A3909.mat 16x1+24 1000.0(0)/mV 16 0 -3 2954 0 aVF
A3909.mat 16x1+24 1000.0(0)/mV 16 0 -36 -1673 0 V1
A3909.mat 16x1+24 1000.0(0)/mV 16 0 -70 73 0 V2
A3909.mat 16x1+24 1000.0(0)/mV 16 0 -119 -1776 0 V3
A3909.mat 16x1+24 1000.0(0)/mV 16 0 -134 2202 0 V4
A3909.mat 16x1+24 1000.0(0)/mV 16 0 -136 811 0 V5
A3909.mat 16x1+24 1000.0(0)/mV 16 0 -123 -2702 0 V6
# Age: 59
# Sex: Male
# Dx: 270492004
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown