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

File: <base>/training/cpsc_2018/g1/A0992.hea (704 bytes) 
A0992 12 500 14500
A0992.mat 16x1+24 1000.0(0)/mV 16 0 -43 -1953 0 I
A0992.mat 16x1+24 1000.0(0)/mV 16 0 -56 -5892 0 II
A0992.mat 16x1+24 1000.0(0)/mV 16 0 -13 -3939 0 III
A0992.mat 16x1+24 1000.0(0)/mV 16 0 49 -4363 0 aVR
A0992.mat 16x1+24 1000.0(0)/mV 16 0 -14 2142 0 aVL
A0992.mat 16x1+24 1000.0(0)/mV 16 0 -33 2954 0 aVF
A0992.mat 16x1+24 1000.0(0)/mV 16 0 45 -4081 0 V1
A0992.mat 16x1+24 1000.0(0)/mV 16 0 -1 245 0 V2
A0992.mat 16x1+24 1000.0(0)/mV 16 0 -57 5258 0 V3
A0992.mat 16x1+24 1000.0(0)/mV 16 0 -98 -3361 0 V4
A0992.mat 16x1+24 1000.0(0)/mV 16 0 -90 -6085 0 V5
A0992.mat 16x1+24 1000.0(0)/mV 16 0 -58 4653 0 V6
# Age: 70
# Sex: Male
# Dx: 59118001
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown