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

File: <base>/training/georgia/g9/E08412.hea (725 bytes) 
E08412 12 500 5000
E08412.mat 16x1+24 1000.0(0)/mV 16 0 -82 -23571 0 I
E08412.mat 16x1+24 1000.0(0)/mV 16 0 -48 -30160 0 II
E08412.mat 16x1+24 1000.0(0)/mV 16 0 34 -6516 0 III
E08412.mat 16x1+24 1000.0(0)/mV 16 0 65 26781 0 aVR
E08412.mat 16x1+24 1000.0(0)/mV 16 0 -58 -7970 0 aVL
E08412.mat 16x1+24 1000.0(0)/mV 16 0 -7 -17730 0 aVF
E08412.mat 16x1+24 1000.0(0)/mV 16 0 29 -19958 0 V1
E08412.mat 16x1+24 1000.0(0)/mV 16 0 -4 31037 0 V2
E08412.mat 16x1+24 1000.0(0)/mV 16 0 -63 -27320 0 V3
E08412.mat 16x1+24 1000.0(0)/mV 16 0 -107 6316 0 V4
E08412.mat 16x1+24 1000.0(0)/mV 16 0 -107 -3741 0 V5
E08412.mat 16x1+24 1000.0(0)/mV 16 0 -122 -16300 0 V6
# Age: 65
# Sex: Male
# Dx: 713426002,426177001
# Rx: Unknown
# Hx: Unknown