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

File: <base>/training/georgia/g10/E09195.hea (712 bytes) 
E09195 12 500 5000
E09195.mat 16x1+24 1000.0(0)/mV 16 0 -78 -29220 0 I
E09195.mat 16x1+24 1000.0(0)/mV 16 0 19 -14178 0 II
E09195.mat 16x1+24 1000.0(0)/mV 16 0 97 15914 0 III
E09195.mat 16x1+24 1000.0(0)/mV 16 0 29 21612 0 aVR
E09195.mat 16x1+24 1000.0(0)/mV 16 0 -87 10425 0 aVL
E09195.mat 16x1+24 1000.0(0)/mV 16 0 58 -31937 0 aVF
E09195.mat 16x1+24 1000.0(0)/mV 16 0 -29 -9115 0 V1
E09195.mat 16x1+24 1000.0(0)/mV 16 0 48 -12498 0 V2
E09195.mat 16x1+24 1000.0(0)/mV 16 0 19 4071 0 V3
E09195.mat 16x1+24 1000.0(0)/mV 16 0 -19 -14344 0 V4
E09195.mat 16x1+24 1000.0(0)/mV 16 0 -19 -18859 0 V5
E09195.mat 16x1+24 1000.0(0)/mV 16 0 -161 21776 0 V6
# Age: 60
# Sex: Male
# Dx: 428417006
# Rx: Unknown
# Hx: Unknown