Study of the ANS Sympathovagal Behavior Using the ReliefF and the KS-Segmentation Algorithms

The Autonomous Nervous System (ANS) sympathovagal balance was studied using several features derived from Heart Rate Variability signals (HRV). The HRV signals are, however naturally, non-stationary since their statistical properties vary under time transition. A useful approach to quantifying them is, therefore, to consider them as consisting of some intervals that are themselves stationary. To obtain the latter, we have applied the so called the KS-segmentation algorithm which is an approach deduced from the Kolmogorov-Smirnov (KS) statistics. To determine, accurately, these features, we have used the ReliefF algorithm which is one of the most successful strategies in feature selection; this step allows us to select the most relevant features from thirty three features at the beginning. As result the ratio between LF and HF band powers of HRV signal, the Standard Deviation of RR intervals (SDNN), and Detrended Fluctuation Analysis with Short term slope (DFA α1), are more accurate for each stationary segment, and present the best results comparing with other features for the classification of the three stages of stress in real world driving tasks (Low, Medium and High stress).Bouziane, A.; Yagoubi, B.; Vergara Domínguez, L.; Salazar Afanador, A. (2015). Study of the ANS Sympathovagal Behavior Using the ReliefF and the KS-Segmentation Algorithms. WSEAS Transactions on Biology and Biomedicine. 12:8-15. http://hdl.handle.net/10251/65958S8151

Study of the ANS Sympathovagal Behavior Using the ReliefF and the KS-Segmentation Algorithms

The Autonomous Nervous System (ANS) sympathovagal balance was studied using several features derived from Heart Rate Variability signals (HRV). The HRV signals are, however naturally, non-stationary since their statistical properties vary under time transition. A useful approach to quantifying them is, therefore, to consider them as consisting of some intervals that are themselves stationary. To obtain the latter, we have applied the so called the KS-segmentation algorithm which is an approach deduced from the Kolmogorov-Smirnov (KS) statistics. To determine, accurately, these features, we have used the ReliefF algorithm which is one of the most successful strategies in feature selection; this step allows us to select the most relevant features from thirty three features at the beginning. As result the ratio between LF and HF band powers of HRV signal, the Standard Deviation of RR intervals (SDNN), and Detrended Fluctuation Analysis with Short term slope (DFA α1), are more accurate for each stationary segment, and present the best results comparing with other features for the classification of the three stages of stress in real world driving tasks (Low, Medium and High stress).Bouziane, A.; Yagoubi, B.; Vergara Domínguez, L.; Salazar Afanador, A. (2015). Study of the ANS Sympathovagal Behavior Using the ReliefF and the KS-Segmentation Algorithms. WSEAS Transactions on Biology and Biomedicine. 12:8-15. http://hdl.handle.net/10251/65958S8151

Investigating therapeutic usage of combined Ticagrelor and Aspirin through solid-state and analytical studies

The mainstay treatment for patients with acute coronary syndrome is an oral route dual antiplatelet therapy with a P2Y12-receptor antagonist and Aspirin (ASA). To improve patient adherence to such treatments, combination therapies (polypill) are envisioned. Physicochemical solid-state studies have been carried out to develop a preformulation strategy of ASA with the P2Y12-receptor antagonist Ticagrelor (TIC). The investigations were carried out using differential scanning calorimetry, liquid chromatography-high resolution-multistage mass spectrometry (LC-HR-MSn) and as complementary techniques Fourier transform infrared measurements and thermogravimetric analysis. A simple eutectic transition at 98 °C with a mole fraction for the eutectic liquid of 0.457 has been observed and the mixing of ASA and TIC molecules in each other's crystal structures appears to be limited. No cocrystals of TIC and ASA have been found. The appearance of the eutectic liquid was linked with a clear onset of chemical instability of the two pharmaceuticals. The decomposition mechanism in the liquid phase involves prior decomposition of ASA, whose residues react with well-identified TIC interaction sites. Seven interaction products were observed by LC-HR-MSn linked to corresponding degradation products. The most important degradation pathway is N-dealkylation. In conclusion, polypills of ASA and TIC are a viable approach, but the decomposition of ASA should be avoided by eliminating high temperatures and high humidity.Peer ReviewedPreprin

Numbers in the Blind's “Eye”

Background: Although lacking visual experience with numerosities, recent evidence shows that the blind perform similarly to sighted persons on numerical comparison or parity judgement tasks. In particular, on tasks presented in the auditory modality, the blind surprisingly show the same effect that appears in sighted persons, demonstrating that numbers are represented through a spatial code, i.e. the Spatial-Numerical Association of Response Codes (SNARC) effect. But, if this is the case, how is this numerical spatial representation processed in the brain of the blind? Principal Findings: Here we report that, although blind and sighted people have similarly organized numerical representations, the attentional shifts generated by numbers have different electrophysiological correlates (sensorial N100 in the sighted and cognitive P300 in the blind). Conclusions: These results highlight possible differences in the use of spatial representations acquired through modalities other than vision in the blind population

A. C. conduction behaviour in amorphous WO3/CEO2 thin film

No Abstract. Technologies Avancees Vol. 17 2005: pp. 5-