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

File: <base>/training/georgia/g10/E09156.hea (717 bytes) 
E09156 12 500 5000
E09156.mat 16x1+24 1000.0(0)/mV 16 0 -9 -13735 0 I
E09156.mat 16x1+24 1000.0(0)/mV 16 0 -87 -12131 0 II
E09156.mat 16x1+24 1000.0(0)/mV 16 0 -78 2510 0 III
E09156.mat 16x1+24 1000.0(0)/mV 16 0 48 -19433 0 aVR
E09156.mat 16x1+24 1000.0(0)/mV 16 0 34 24505 0 aVL
E09156.mat 16x1+24 1000.0(0)/mV 16 0 -82 -4939 0 aVF
E09156.mat 16x1+24 1000.0(0)/mV 16 0 -9 27556 0 V1
E09156.mat 16x1+24 1000.0(0)/mV 16 0 -29 21835 0 V2
E09156.mat 16x1+24 1000.0(0)/mV 16 0 -78 -11979 0 V3
E09156.mat 16x1+24 1000.0(0)/mV 16 0 -78 8907 0 V4
E09156.mat 16x1+24 1000.0(0)/mV 16 0 0 -18261 0 V5
E09156.mat 16x1+24 1000.0(0)/mV 16 0 0 -3115 0 V6
# Age: 63
# Sex: Male
# Dx: 164873001,426177001
# Rx: Unknown
# Hx: Unknown