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

File: <base>/training/georgia/g9/E08522.hea (732 bytes) 
E08522 12 500 5000
E08522.mat 16x1+24 1000.0(0)/mV 16 0 -156 7126 0 I
E08522.mat 16x1+24 1000.0(0)/mV 16 0 -214 -7513 0 II
E08522.mat 16x1+24 1000.0(0)/mV 16 0 -58 -14061 0 III
E08522.mat 16x1+24 1000.0(0)/mV 16 0 185 178 0 aVR
E08522.mat 16x1+24 1000.0(0)/mV 16 0 -48 -21745 0 aVL
E08522.mat 16x1+24 1000.0(0)/mV 16 0 -136 21854 0 aVF
E08522.mat 16x1+24 1000.0(0)/mV 16 0 78 5310 0 V1
E08522.mat 16x1+24 1000.0(0)/mV 16 0 9 -16531 0 V2
E08522.mat 16x1+24 1000.0(0)/mV 16 0 185 -31816 0 V3
E08522.mat 16x1+24 1000.0(0)/mV 16 0 -136 216 0 V4
E08522.mat 16x1+24 1000.0(0)/mV 16 0 -107 1818 0 V5
E08522.mat 16x1+24 1000.0(0)/mV 16 0 -117 24601 0 V6
# Age: 44
# Sex: Male
# Dx: 428750005,164934002,164873001
# Rx: Unknown
# Hx: Unknown