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

File: <base>/training/georgia/g10/E09853.hea (724 bytes) 
E09853 12 500 5000
E09853.mat 16x1+24 1000.0(0)/mV 16 0 78 -16812 0 I
E09853.mat 16x1+24 1000.0(0)/mV 16 0 29 8546 0 II
E09853.mat 16x1+24 1000.0(0)/mV 16 0 -48 25002 0 III
E09853.mat 16x1+24 1000.0(0)/mV 16 0 -53 4079 0 aVR
E09853.mat 16x1+24 1000.0(0)/mV 16 0 63 11898 0 aVL
E09853.mat 16x1+24 1000.0(0)/mV 16 0 -9 -15657 0 aVF
E09853.mat 16x1+24 1000.0(0)/mV 16 0 68 -24950 0 V1
E09853.mat 16x1+24 1000.0(0)/mV 16 0 78 -28377 0 V2
E09853.mat 16x1+24 1000.0(0)/mV 16 0 78 17375 0 V3
E09853.mat 16x1+24 1000.0(0)/mV 16 0 78 17544 0 V4
E09853.mat 16x1+24 1000.0(0)/mV 16 0 48 -14339 0 V5
E09853.mat 16x1+24 1000.0(0)/mV 16 0 97 9056 0 V6
# Age: 66
# Sex: Male
# Dx: 425623009,164934002,164917005
# Rx: Unknown
# Hx: Unknown