By James Goh, Chwee Teck Lim
This quantity publishes the lawsuits of the WACBE global Congress on Bioengineering 2015 (WACBE 2015), which used to be be held in Singapore, from 6 to eight July 2015.
The international organization for chinese language Biomedical Engineers (WACBE) organizes this international Congress biannually. Our previous congresses have introduced jointly many biomedical engineers from over the area to percentage their reports and perspectives at the destiny improvement of biomedical engineering. The seventh WACBE global Congress on Bioengineering 2015 in Singapore endured to supply this sort of networking platform for all biomedical engineers. Hosted through the Biomedical Engineering Society (Singapore) and the dep. of Biomedical Engineering, nationwide collage of Singapore, the congress coated all comparable parts in bioengineering.
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Additional info for 7th WACBE World Congress on Bioengineering 2015: 6th to 8th July, 2015, Singapore
The maximum margin is obtained by minimizing the first term of objective function, while the minimum total error of all training example is assured by minimizing the second term. For the efficient purposes, we trained the data with sequential minimal Optimization using kernel function . 13 lie between the mean value and the decision boundary from a distance point of view. For instance, if the measured valXH¶VGLVWDQFHLVH[DFWO\KDOIRIWKDWIURPWKHmean values to the decision boundary, the stress index would be 25% or 75% if classified under unstressed or stressed respectively.
The classification used 2-layer feedforward back-propagation neural network. Several different combinations of features were analyzed. e. Z, Z/ߞ, dZ/dt, or dP/dt each, the accuracies are more than 95 % for each parameters. 9 %. Also, Z/ߞ feature could not provide 100 % compared to dZ/dt and dP/dt (Table 3). 5 Z IFMBE Proceedings Vol. A. Abdul-Kadir et al. 4 %. Whereas, combining all significant parameters (4 features, which were. 5 %. IV. CONCLUSIONS AND FUTURE WORK In conclusion, of the 12 parameters extracted from the data in our study, only 4 (Z, Z/ߞ, dZ/dt, and dP/dt) can be used to differentiate atrial fibrillation (AF) from normal sinus rhythm ECG signals (N) based on probability values determined from the statistical two-tailed t-test for Lead I.
Natural frequency (Ȧ), damping coefficient (ȗ) and forcing input (u) which is shown in equation (2) . ߱ିଶ Ǥ ݔᇱᇱ ʹߞ߱ ିଵ ݔᇱ ݔൌ ߤ; ݔሺͲሻ ൌ ݔ ; ݔᇱ ሺͲሻ ൌ ݔᇱ (2) These three parameters were extracted from ECG signals (represent as ݔሺݐሻ) to determine their characteristics for further analysis. By differentiating equation (3) with respect to t for two values of time, the damping coefficient, ߞ, and the natural frequency, ߱, are shown in (4) and (5), respectively. ߱ିଶ Ǥ ݔᇱᇱᇱ ʹߞ߱ ିଵ ݔᇱᇱ ݔᇱ ൌ Ͳ (3) ௗ௧ మ ߞ ൌ െቂ ߱ଶ ൌ ఠషమ Ǥ௫ ᇲᇲᇲ ା௫ ᇲ (4) ቃ ଶఠషభ Ǥ௫ ᇲᇲ ௫ ᇲᇲ Ǥ௫ ᇲᇲᇲᇲ ିሺ௫ ᇲᇲᇲ ሻమ (5) ௫ ᇲ Ǥ௫ ᇲᇲᇲ ିሺ௫ ᇲᇲ ሻమ RESULTS AND DISCUSSIONS A.