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

File: <base>/training/georgia/g10/E09268.hea (739 bytes) 
E09268 12 500 5000
E09268.mat 16x1+24 1000.0(0)/mV 16 0 48 -25903 0 I
E09268.mat 16x1+24 1000.0(0)/mV 16 0 39 -6527 0 II
E09268.mat 16x1+24 1000.0(0)/mV 16 0 -9 19469 0 III
E09268.mat 16x1+24 1000.0(0)/mV 16 0 -43 15990 0 aVR
E09268.mat 16x1+24 1000.0(0)/mV 16 0 29 -22515 0 aVL
E09268.mat 16x1+24 1000.0(0)/mV 16 0 14 6286 0 aVF
E09268.mat 16x1+24 1000.0(0)/mV 16 0 -29 -21181 0 V1
E09268.mat 16x1+24 1000.0(0)/mV 16 0 97 -17972 0 V2
E09268.mat 16x1+24 1000.0(0)/mV 16 0 39 -14496 0 V3
E09268.mat 16x1+24 1000.0(0)/mV 16 0 68 -18587 0 V4
E09268.mat 16x1+24 1000.0(0)/mV 16 0 78 -19122 0 V5
E09268.mat 16x1+24 1000.0(0)/mV 16 0 29 -25802 0 V6
# Age: 58
# Sex: Male
# Dx: 426177001,164934002,284470004,284470004
# Rx: Unknown
# Hx: Unknown