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

File: <base>/training/cpsc_2018/g6/A5215.hea (713 bytes) 
A5215 12 500 10000
A5215.mat 16x1+24 1000.0(0)/mV 16 0 -47 -4560 0 I
A5215.mat 16x1+24 1000.0(0)/mV 16 0 21 2776 0 II
A5215.mat 16x1+24 1000.0(0)/mV 16 0 67 -2664 0 III
A5215.mat 16x1+24 1000.0(0)/mV 16 0 13 4883 0 aVR
A5215.mat 16x1+24 1000.0(0)/mV 16 0 -57 -1464 0 aVL
A5215.mat 16x1+24 1000.0(0)/mV 16 0 43 -3906 0 aVF
A5215.mat 16x1+24 1000.0(0)/mV 16 0 72 -1128 0 V1
A5215.mat 16x1+24 1000.0(0)/mV 16 0 -75 -3117 0 V2
A5215.mat 16x1+24 1000.0(0)/mV 16 0 -202 669 0 V3
A5215.mat 16x1+24 1000.0(0)/mV 16 0 -135 -11 0 V4
A5215.mat 16x1+24 1000.0(0)/mV 16 0 -73 663 0 V5
A5215.mat 16x1+24 1000.0(0)/mV 16 0 -147 -2027 0 V6
# Age: 87
# Sex: Male
# Dx: 59118001,284470004
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown