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

File: <base>/training/georgia/g10/E09261.hea (713 bytes) 
E09261 12 500 5000
E09261.mat 16x1+24 1000.0(0)/mV 16 0 29 17431 0 I
E09261.mat 16x1+24 1000.0(0)/mV 16 0 -117 -20345 0 II
E09261.mat 16x1+24 1000.0(0)/mV 16 0 -146 28378 0 III
E09261.mat 16x1+24 1000.0(0)/mV 16 0 43 1280 0 aVR
E09261.mat 16x1+24 1000.0(0)/mV 16 0 87 27230 0 aVL
E09261.mat 16x1+24 1000.0(0)/mV 16 0 -131 -28797 0 aVF
E09261.mat 16x1+24 1000.0(0)/mV 16 0 68 -26548 0 V1
E09261.mat 16x1+24 1000.0(0)/mV 16 0 126 -27491 0 V2
E09261.mat 16x1+24 1000.0(0)/mV 16 0 351 23676 0 V3
E09261.mat 16x1+24 1000.0(0)/mV 16 0 195 31093 0 V4
E09261.mat 16x1+24 1000.0(0)/mV 16 0 39 16991 0 V5
E09261.mat 16x1+24 1000.0(0)/mV 16 0 -48 20908 0 V6
# Age: 80
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown