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

File: <base>/training/cpsc_2018/g5/A4912.hea (697 bytes) 
A4912 12 500 10500
A4912.mat 16x1+24 1000.0(0)/mV 16 0 -68 684 0 I
A4912.mat 16x1+24 1000.0(0)/mV 16 0 48 -4026 0 II
A4912.mat 16x1+24 1000.0(0)/mV 16 0 116 -4710 0 III
A4912.mat 16x1+24 1000.0(0)/mV 16 0 10 831 0 aVR
A4912.mat 16x1+24 1000.0(0)/mV 16 0 -92 -931 0 aVL
A4912.mat 16x1+24 1000.0(0)/mV 16 0 82 2301 0 aVF
A4912.mat 16x1+24 1000.0(0)/mV 16 0 46 5249 0 V1
A4912.mat 16x1+24 1000.0(0)/mV 16 0 219 2777 0 V2
A4912.mat 16x1+24 1000.0(0)/mV 16 0 125 -865 0 V3
A4912.mat 16x1+24 1000.0(0)/mV 16 0 63 -5047 0 V4
A4912.mat 16x1+24 1000.0(0)/mV 16 0 97 -3849 0 V5
A4912.mat 16x1+24 1000.0(0)/mV 16 0 -33 175 0 V6
# Age: 51
# Sex: Male
# Dx: 164884008
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown