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

File: <base>/training/georgia/g10/E09797.hea (727 bytes) 
E09797 12 500 5000
E09797.mat 16x1+24 1000.0(0)/mV 16 0 -48 -2326 0 I
E09797.mat 16x1+24 1000.0(0)/mV 16 0 -97 -12239 0 II
E09797.mat 16x1+24 1000.0(0)/mV 16 0 -48 -10744 0 III
E09797.mat 16x1+24 1000.0(0)/mV 16 0 73 7054 0 aVR
E09797.mat 16x1+24 1000.0(0)/mV 16 0 0 3954 0 aVL
E09797.mat 16x1+24 1000.0(0)/mV 16 0 -73 -11469 0 aVF
E09797.mat 16x1+24 1000.0(0)/mV 16 0 97 -5317 0 V1
E09797.mat 16x1+24 1000.0(0)/mV 16 0 68 -12365 0 V2
E09797.mat 16x1+24 1000.0(0)/mV 16 0 97 20211 0 V3
E09797.mat 16x1+24 1000.0(0)/mV 16 0 48 31187 0 V4
E09797.mat 16x1+24 1000.0(0)/mV 16 0 -9 22945 0 V5
E09797.mat 16x1+24 1000.0(0)/mV 16 0 -48 -31814 0 V6
# Age: 76
# Sex: Male
# Dx: 426177001,425623009,164934002
# Rx: Unknown
# Hx: Unknown