37 research outputs found
MWP phase shifters integrated in PbS-SU8 waveguides
We present new kind of microwave phase shifters (MPS) based on dispersion of PbS colloidal quantum dots (QDs) in commercially available photoresist SU8 after a ligand exchange process. Ridge PbS-SU8 waveguides are implemented by integration of the nanocomposite in a silicon platform. When these waveguides are pumped at wavelengths below the band-gap of the PbS QDs, a phase shift in an optically conveyed (at 1550 nm) microwave signal is produced. The strong light confinement produced in the ridge waveguides allows an improvement of the phase shift as compared to the case of planar structures. Moreover, a novel ridge bilayer waveguide composed by a PbS-SU8 nanocomposite and a SU8 passive layer is proposed to decrease the propagation losses of the pump beam and in consequence to improve the microwave phase shift up to 36.5° at 25 GHz. Experimental results are reproduced by a theoretical model based on the slow light effect produced in a semiconductor waveguide due to the coherent population oscillations. The resulting device shows potential benefits respect to the current MPS technologies since it allows a fast tunability of the phase shift and a high level of integration due to its small size
Integrable microwave filter based on a photonic crystal delay line
The availability of a tunable delay line with a chip-size footprint is a crucial step towards the full implementation of integrated microwave photonic signal processors. Achieving a large and tunable group delay on a millimetre-sized chip is not trivial. Slow light concepts are an appropriate solution, if propagation losses are kept acceptable. Here we use a low-loss 1.5 mm-long photonic crystal waveguide to demonstrate both notch and band-pass microwave filters that can be tuned over the 0 50-GHz spectral band. The waveguide is capable of generating a controllable delay with limited signal attenuation (total insertion loss below 10 dB when the delay is below 70 ps) and degradation. Owing to the very small footprint of the delay line, a fully integrated device is feasible, also featuring more complex and elaborate filter functions.This work was funded by the European Union under the project GOSPEL (grant 219299) and by the Valencian Government (Prometeo GVA 2008-92). We thank S. Hughes and P. Lalanne for enlightening discussion about the impact of disorder in photonic crystal waveguides.Sancho DurĂĄ, J.; Bourderionnet, J.; Lloret Soler, JA.; Combrie, S.; Gasulla Mestre, I.; Xavier, S.; Sales Maicas, S.... (2012). Integrable microwave filter based on a photonic crystal delay line. Nature Communications. 3:1-9. https://doi.org/10.1038/ncomms2092S193Seeds, A. Microwave photonics. IEEE Trans. Microwave Theory Tech. 50, 877â887 (2002).Capmany, J. & Novak, D. Microwave photonics combines two worlds. Nat. Photon 1, 319â330 (2007).Yao, J. P. Microwave photonics. J. Lightwave Technol. 27, 314â335 (2009).See special technology focus on microwave photonics. Nat. Photon 5, 723â736 (2011).Capmany, J., Ortega, B. & Pastor, D. A tutorial on microwave photonic filters. J. Lightwave. Technol. 24, 201â229 (2006).Long, J. et al. A tunable microstrip bandpass filter with two independently adjustable transmission zeros. IEEE Microw. Wireless Compon. Lett. 21, 74â76 (2011).Velez, A. et al. Tunable coplanar waveguide band-stop and band-pass filters based on open split ring resonators and open complementary split ring resonators. IEEE Microw. Antennas Propag. 5, 277â281 (2011).Sekar, V., Armendariz, M. & Entesari, K. A 1.2-1.6-GHz substrate-integrated-waveguide RF MEMS tunable filter. IEEE Trans. Microwave Theory Tech. 59, 866â876 (2011).Rafique, M. R. et al. Miniaturized superconducting microwave filters. Supercond. Sci. Technol. 21, 075004 (2008).Velu, G. et al. A 360° BST phase shifter with moderate bias voltage at 30 GHz. IEEE Trans. Microwave Theory Tech. 55, 438â444 (2007).Koh, K. J. & Rebeiz, G. M. A 6-18 GHz active phase shifter. In Proceedings IEEE Microwave Symposium Digest 792â795 (2010).Capmany, J., Pastor, D. & Ortega, B. New and flexible fiber-optic delay-line filters using chirped Bragg gratings and laser arrays. IEEE Trans. Microwave Theory Tech. 47, 1321â1326 (1999).Minasian, R. A. Photonic signal processing of microwave signals. IEEE Trans. Microwave Theory Tech. 54, 832â846 (2006).Dai, Y. & Yao, J. P. Nonuniformly-spaced photonic microwave delay-line filter. Opt. Express 16, 4713â4718 (2008).Hamidi, E., Leaird, D. E. & Weiner, A. M. Tunable programmable microwave photonic filters based on an optical frequency comb. IEEE Trans. Microwave Theory Tech. 58, 3269â3278 (2010).Chan, E. H. W. & Minasian, R. A. Coherence-free high-resolution RF/microwave photonic bandpass filter with high skirt selectivity and high stopband attenuation. J. Lightwave Technol. 28, 1646â1651 (2010).Norberg, E. J. et al. Programmable photonic microwave filters monolithically integrated in InPinGaAsP. J. Lightwave. Technol. 29, 1611â1619 (2011).Chen, H. W. et al. Integrated microwave photonic filter on a hybrid silicon platform. IEEE Trans. Microwave Theory Tech. 58, 3213â3219 (2010).Dong, P. et al. GHz-bandwidth optical filters based on high-order silicon ring resonators. Opt. Express 18, 23784â23789 (2010).Lloret, J. et al. Tunable complex-valued multi-tap microwave photonic filter based on single silicon-on-insulator microring resonator. Opt. Express 19, 12402â12407 (2011).Notomi, M. et al. Extremely large group-velocity dispersion of line-defect waveguides in photonic crystal slabs. Phys. Rev. Lett. 87, 253902 (2001).Knight, J. C. Photonic crystal fibres. Nature 424, 847â851 (2003).Supradeepa, V. R. et al. Comb-based radiofrequency photonic filters with rapid tunability and high selectivity. Nat. Photon. 6, 186â194 (2012).Capmany, J., Ortega, B., Pastor, D. & Sales, S. Discrete-time optical processing of microwave signals. J. Lightwave Technol. 23, 702â723 (2005).Hunter, D. B. & Minasian, R. A Tunable microwave fiber-optic bandpass filters. IEEE Photon. Tech. Lett. 11, 874â876 (1999).Baba, T. Slow light in photonic crystals. Nat. Photon. 2, 465â473 (2008).Kuramochi, E. et al. Disorder-induced scattering loss of line-defect waveguides in photonic crystal slabs. Phys. Rev B 72, 161318 (2005).Ishikura, N., Baba, T., Kuramochi, E. & Notomi, M. Large tunable fractional delay of slow light pulse and its application to fast optical correlator. Opt. Express 19, 24102â24108 (2011).O'Faolain, L. et al. Loss engineered slow light waveguides. Opt. Express 18, 27627â27638 (2010).Baron, A., Mazoyer, S., Smigaj, W. & Lalanne, P. Attenuation Coefficient of Single-Mode Periodic Waveguides. Phys. Rev. Lett. 107, 153901 (2011).Patterson, M. et al. Disorder-Induced Coherent Scattering in Slow-Light Photonic Crystal Waveguides. Phys. Rev. Lett. 102, 253903 (2009).Mazoyer, S., Hugonin, J. P. & Lalanne, P. Disorder-Induced Multiple Scattering in Photonic-Crystal Waveguides. Phys. Rev. Lett. 103, 063903 (2009).CombriĂ©, S. et al. Time-delay measurement in singlemode, low-loss photonic crystal waveguides. Electron. Lett. 42, 86â87 (2006).Liang, J. et al. Wideband ultraflat slow light with large group index in a W1 photonic crystal waveguide. J. App. Phys. 110, 063103 (2011).Roy, S. Modeling the dispersion of the nonlinearity in slow mode photonic crystal waveguides. IEEE Photonics. Journal 4, 224â233 (2012).Colman, P., CombriĂ©, S. & De Rossi, A. Control of dispersion in photonic crystal waveguides using group symmetry theory. Opt. Express 20, 13108â13114 (2012).Vy Tran, Q., CombriĂ©, S., Colman, P. & De Rossi, A. Photonic crystal membrane waveguides with low insertion losses. Appl. Phys. Lett. 95, 061105 (2009).Bolea, M., Mora, J., Ortega, B. & Capmany, J. Highly chirped single-bandpass microwave photonic filter with reconfiguration capabilities. Opt. Express 19, 4566â4576 (2011).Binetti, P. et al. Indium phosphide integrated circuits for coherent optical links. IEEE J. Quantum Electron. 48, 279â291 (2012).Thomson, D. J. et al. High contrast 40Gbit/s optical modulation in silicon. Opt. Express 19, 11507â11516 (2011).Asghari, M. & Krishnamoorthy, A. V. Energy efficient communication. Nat. Photon. 5, 268â270 (2011).Vivien, L. et al. Zero-bias 40Gbit/s germanium waveguide photodetector on silicon. Opt. Express 20, 1096â1101 (2012).Feng, N. N. et al. 30GHz Ge electro-absorption modulator integrated with 3 ÎŒm silicon-on-insulator waveguide. Opt. Express 19, 7062â7067 (2011).Trinh, P. D., Yegnanarayanan, S., Coppinger, F. & Jalali, B. Compact multimode interference couplers in Silicon-on-insulator technology. Conference on Lasers and Electro-Optics CLEO '97CThV4, 441 (Baltimore, USA, 1997).Loayssa, A., Capmany, J., Sagues, M. & Mora, J. Demonstration of incoherent microwave photonic filters with all-optical complex coefficients. IEEE Photon. Tech. Lett. 18, 1744â1746 (2006).Zhang, W. & Minasian, R. A. Widely tunable single-passband microwave photonic filter based on stimulated Brillouin scattering. IEEE Photon. Tech. Lett. 23, 1775â1777 (2011).Xue, W., Sales, S., Mork, J. & Capmany, J. Widely tunable microwave photonic notch filter based on slow and fast light effects. IEEE Photon. Tech. Lett. 21, 167â169 (2009).Norberg, E. J. et al. A monolithic programmable optical filter for RF signal processing. in Proceedings Microwave Photonics Conf. (Montreal, Canada, 2010).Vlasov, Y. A., O'Boyle, M., Hamann, H. F. & McNab, S. J. Active control of slow light on a chip with photonic crystal waveguides. Nature 438, 65â69 (2005).Eckhouse, V. et al. Highly efficient four wave mixing in GaInP photonic crystal waveguides. Opt. Lett. 35, 1440â1442 (2010).Sagues, M. et al. Multi-tap complex-coefficient incoherent microwave photonic filters based on optical single-sideband modulation and narrow band optical filtering. Opt. Express 16, 295â303 (2008).Huang, T. X. H., Yi, X. & Minasian, R. A. Single passband microwave photonic filter using continuous-time impulse response. Opt. Express 19, 6231â6242 (2011).Burla, M. et al. On-chip CMOS compatible reconfigurable optical delay line with separate carrier tuning for microwave photonic signal processing. Opt. Express 19, 21475â21484 (2011)
Impact of renal impairment on atrial fibrillation: ESC-EHRA EORP-AF Long-Term General Registry
Background: Atrial fibrillation (AF) and renal impairment share a bidirectional relationship with important pathophysiological interactions. We evaluated the impact of renal impairment in a contemporary cohort of patients with AF. Methods: We utilised the ESC-EHRA EORP-AF Long-Term General Registry. Outcomes were analysed according to renal function by CKD-EPI equation. The primary endpoint was a composite of thromboembolism, major bleeding, acute coronary syndrome and all-cause death. Secondary endpoints were each of these separately including ischaemic stroke, haemorrhagic event, intracranial haemorrhage, cardiovascular death and hospital admission. Results: A total of 9306 patients were included. The distribution of patients with no, mild, moderate and severe renal impairment at baseline were 16.9%, 49.3%, 30% and 3.8%, respectively. AF patients with impaired renal function were older, more likely to be females, had worse cardiac imaging parameters and multiple comorbidities. Among patients with an indication for anticoagulation, prescription of these agents was reduced in those with severe renal impairment, p <.001. Over 24 months, impaired renal function was associated with significantly greater incidence of the primary composite outcome and all secondary outcomes. Multivariable Cox regression analysis demonstrated an inverse relationship between eGFR and the primary outcome (HR 1.07 [95% CI, 1.01â1.14] per 10 ml/min/1.73 m2 decrease), that was most notable in patients with eGFR <30 ml/min/1.73 m2 (HR 2.21 [95% CI, 1.23â3.99] compared to eGFR â„90 ml/min/1.73 m2). Conclusion: A significant proportion of patients with AF suffer from concomitant renal impairment which impacts their overall management. Furthermore, renal impairment is an independent predictor of major adverse events including thromboembolism, major bleeding, acute coronary syndrome and all-cause death in patients with AF
Clinical complexity and impact of the ABC (Atrial fibrillation Better Care) pathway in patients with atrial fibrillation: a report from the ESC-EHRA EURObservational Research Programme in AF General Long-Term Registry
Background: Clinical complexity is increasingly prevalent among patients with atrial fibrillation (AF). The âAtrial fibrillation Better Careâ (ABC) pathway approach has been proposed to streamline a more holistic and integrated approach to AF care; however, there are limited data on its usefulness among clinically complex patients. We aim to determine the impact of ABC pathway in a contemporary cohort of clinically complex AF patients. Methods: From the ESC-EHRA EORP-AF General Long-Term Registry, we analysed clinically complex AF patients, defined as the presence of frailty, multimorbidity and/or polypharmacy. A K-medoids cluster analysis was performed to identify different groups of clinical complexity. The impact of an ABC-adherent approach on major outcomes was analysed through Cox-regression analyses and delay of event (DoE) analyses. Results: Among 9966 AF patients included, 8289 (83.1%) were clinically complex. Adherence to the ABC pathway in the clinically complex group reduced the risk of all-cause death (adjusted HR [aHR]: 0.72, 95%CI 0.58â0.91), major adverse cardiovascular events (MACEs; aHR: 0.68, 95%CI 0.52â0.87) and composite outcome (aHR: 0.70, 95%CI: 0.58â0.85). Adherence to the ABC pathway was associated with a significant reduction in the risk of death (aHR: 0.74, 95%CI 0.56â0.98) and composite outcome (aHR: 0.76, 95%CI 0.60â0.96) also in the high-complexity cluster; similar trends were observed for MACEs. In DoE analyses, an ABC-adherent approach resulted in significant gains in event-free survival for all the outcomes investigated in clinically complex patients. Based on absolute risk reduction at 1 year of follow-up, the number needed to treat for ABC pathway adherence was 24 for all-cause death, 31 for MACEs and 20 for the composite outcome. Conclusions: An ABC-adherent approach reduces the risk of major outcomes in clinically complex AF patients. Ensuring adherence to the ABC pathway is essential to improve clinical outcomes among clinically complex AF patients
Impact of clinical phenotypes on management and outcomes in European atrial fibrillation patients: a report from the ESC-EHRA EURObservational Research Programme in AF (EORP-AF) General Long-Term Registry
Background: Epidemiological studies in atrial fibrillation (AF) illustrate that clinical complexity increase the risk of major adverse outcomes. We aimed to describe European AF patients\u2019 clinical phenotypes and analyse the differential clinical course. Methods: We performed a hierarchical cluster analysis based on Ward\u2019s Method and Squared Euclidean Distance using 22 clinical binary variables, identifying the optimal number of clusters. We investigated differences in clinical management, use of healthcare resources and outcomes in a cohort of European AF patients from a Europe-wide observational registry. Results: A total of 9363 were available for this analysis. We identified three clusters: Cluster 1 (n = 3634; 38.8%) characterized by older patients and prevalent non-cardiac comorbidities; Cluster 2 (n = 2774; 29.6%) characterized by younger patients with low prevalence of comorbidities; Cluster 3 (n = 2955;31.6%) characterized by patients\u2019 prevalent cardiovascular risk factors/comorbidities. Over a mean follow-up of 22.5 months, Cluster 3 had the highest rate of cardiovascular events, all-cause death, and the composite outcome (combining the previous two) compared to Cluster 1 and Cluster 2 (all P <.001). An adjusted Cox regression showed that compared to Cluster 2, Cluster 3 (hazard ratio (HR) 2.87, 95% confidence interval (CI) 2.27\u20133.62; HR 3.42, 95%CI 2.72\u20134.31; HR 2.79, 95%CI 2.32\u20133.35), and Cluster 1 (HR 1.88, 95%CI 1.48\u20132.38; HR 2.50, 95%CI 1.98\u20133.15; HR 2.09, 95%CI 1.74\u20132.51) reported a higher risk for the three outcomes respectively. Conclusions: In European AF patients, three main clusters were identified, differentiated by differential presence of comorbidities. Both non-cardiac and cardiac comorbidities clusters were found to be associated with an increased risk of major adverse outcomes
Cost-Effective Brillouin Optical Time-Domain Analysis Sensor Using a Single Optical Source and Passive Optical Filtering
We present a simplified configuration for distributed Brillouin optical time-domain analysis sensors that aims to reduce the cost of the sensor by reducing the number of components required for the generation of the two optical waves involved in the sensing process. The technique is based on obtaining the pump and probe waves by passive optical filtering of the spectral components generated in a single optical source that is driven by a pulsed RF signal. The optical source is a compact laser with integrated electroabsorption modulator and the optical filters are based on fiber Bragg gratings. Proof-of-concept experiments demonstrate 1âm spatial resolution over a 20âkm sensing fiber with a 0.9âMHz precision in the measurement of the Brillouin frequency shift, a performance similar to that of much more complex setups. Furthermore, we discuss the factors limiting the sensor performance, which are basically related to residual spectral components in the filtering process