Revistas
Autores:
Angela Abascal (Autor de correspondencia); Sabine Vanhuysse; Tais Grippa; et al.
Revista:
NPJ URBAN SUSTAINABILITY
ISSN:
2661-8001
Año:
2024
Vol.:
4
N°:
1
Págs.:
20
Deprived urban areas, commonly referred to as `slums,¿ are the consequence of unprecedented urbanisation. Previous studies have highlighted the potential of Artificial Intelligence (AI) and Earth Observation (EO) in capturing physical aspects of urban deprivation. However, little research has explored AI¿s ability to predict how locals perceive deprivation. This research aims to develop a method to predict citizens¿ perception of deprivation using satellite imagery, citizen science, and AI. A deprivation perception score was computed from slum-citizens¿ votes. Then, AI was used to model this score, and results indicate that it can effectively predict perception, with deep learning outperforming conventional machine learning. By leveraging AI and EO, policymakers can comprehend the underlying patterns of urban deprivation, enabling targeted interventions based on citizens¿ needs. As over a quarter of the global urban population resides in slums, this tool can help prioritise citizens¿ requirements, providing evidence for implementing urban upgrading policies aligned with SDG-11.
Revista:
FRONTIERS IN PSYCHOLOGY
ISSN:
1664-1078
Año:
2023
Vol.:
13
Págs.:
1045508
As a result of contemporary culture¿s focus on continuous innovation and ¿change before you have to,¿ innovation has been identified with economic gains rather than with creating added value for society. At the same time, given current trends related to the automation of business models, workers seem all but destined to be replaced by machines in the labor market. In this context, we attempt to explore whether robots and Artificial Intelligence (AI) will be able to innovate, and the extent to which said activity is exclusively inherent to human nature. Following the need for a more anthropological view of innovation, we make use of MacIntyrean categories to present innovation as a domain-relative practice with creativity and practical wisdom as its corresponding virtues. We explain why innovation can only be understood within a tradition as it implies participating in inquiry about the principle and end of practical life. We conclude that machines and ¿intelligent¿ devices do not have the capacity to innovate and they never will. They may replicate the human capacity for creativity, but they squarely lack the necessary conditions to be a locus of virtue or engage with a tradition.
Autores:
Malanda, A. (Autor de correspondencia); Stashuk, D.W.; Navallas, J.; et al.
Revista:
COMPUTERS IN BIOLOGY AND MEDICINE
ISSN:
0010-4825
Año:
2022
Vol.:
149
Págs.:
105973
In an active motor unit (MU), the time intervals between the firings of its muscle fibers vary across successive MU activations. This variability is called jitter and is increased in pathological processes that affect the neuromuscular junctions or terminal axonal segments of MUs. Traditionally, jitter has been measured using single fiber electrodes (SFEs) and a difficult and subjective manual technique. SFEs are expensive and reused, implying a potential risk of patient infection; so, they are being gradually substituted by safer, disposable, concentric needle electrodes (CNEs). As CNEs are larger, voltage contributions from individual fibers of a MU are more difficult to detect, making jitter measurement more difficult. This paper presents an automatic method to estimate jitter from trains of motor unit potentials (MUPs), for both SFE and CNE records. For a MUP train, segments of MUPs generated by single muscle fibers (SF MUP segments) are found and jitter is measured between pairs of these segments. Segments whose estimated jitter values are not reliable, according to several SF MUP segment characteristics, are excluded. The method has been tested in several simulation studies that use mathematical models of muscle fiber potentials. The results are very satisfactory in terms of jitter estimation error (less than 10% in most of the cases studied) and mean number of valid jitter estimates obtained per simulated train (greater than 1.0 in many of the cases and less than 0.5 only in the most complicated). A preliminary study with real signals was also performed, using 19 MUP trains from 3 neuropathic patients. Jitter measurements obtained by the automatic method were compared with those extracted from a commercial system (Keypoint) and the edition and supervision of an expert electromyographer. From these measurements 63% were taken from equivalent interval pair sites within the time span of the MUP trains and, as such, were considered as compatible measurements. Differences in jitter of these compatible measurements were very low (mean value of 1.3 mu s, mean of absolute differences of 2.97 mu s, 25% and 75% percentile intervals of -0.85 and 3.82 mu s, respectively). Although new tests with larger number of real recordings are still required, the method seems promising for clinical practice.
Revista:
COMPUTERS ENVIRONMENT AND URBAN SYSTEMS
ISSN:
0198-9715
Año:
2022
Vol.:
95
Págs.:
101820
Many cities in low- and medium-income countries (LMICs) are facing rapid unplanned growth of built-up areas, while detailed information on these deprived urban areas (DUAs) is lacking. There exist visible differences in housing conditions and urban spaces, and these differences are linked to urban deprivation. However, the appropriate geospatial information for unravelling urban deprivation is typically not available for DUAs in LMICs, constituting an urgent knowledge gap. The objective of this study is to apply deep learning techniques and morphological analysis to identify degrees of deprivation in DUAs. To this end, we first generate a reference dataset of building footprints using a participatory community-based crowd-sourcing approach. Secondly, we adapt a deep learning model based on the U-Net architecture for the semantic segmentation of satellite imagery (WorldView 3) to generate building footprints. Lastly, we compute multi-level morphological features from building footprints for identifying the deprivation variation within DUAs. Our results show that deep learning techniques perform satisfactorily for predicting building footprints in DUAs, yielding an accuracy of F1 score = 0.84 and Jaccard Index = 0.73. The resulting building footprints (predicted buildings) are useful for the computation of morphology metrics at the grid cell level, as, in high-density areas, buildings cannot be detected individually but in clumps. Morphological features capture physical differences of deprivation within DUAs. Four indicators are used to define the morphology in DUAs, i.e., two related to building form (building size and inner irregularity) and two covering the form of open spaces (proximity and directionality). The degree of deprivation can be evaluated from the analysis of morphological features extracted from the predicted buildings, resulting in three categories: high, medium, and low deprivation. The outcome of this study contributes to the advancement of methods for producing up-to-date and disaggregated morphological spatial data on urban DUAs (often referred to as `slums¿) which are essential for understanding the physical dimensions of deprivation, and hence planning targeted interventions accordingly.
Autores:
Beamurgia Bengoa, M. (Autor de correspondencia); Basagoiti, R.; Rodríguez, Ignacio; et al.
Revista:
SOFT COMPUTING
ISSN:
1432-7643
Año:
2022
Vol.:
26
N°:
24
Págs.:
13673 - 13692
Passenger waiting time is a significant issue related to the quality of service of a multiple lift system; however, energy consumption reduction is also an important concern in the lift industry. In this paper, we evaluate different versions of a genetic algorithm (GA) published previously by the authors with several relevant adjustments for the lift dispatching problem to minimize passenger waiting time and/or energy consumption. To the raw GA with adjustments (that works under the assumption one call-one passenger), we incorporated several elements: a passenger-counting module using origin-destination matrices, and the activation of certain policies (zoning and/or parking) under different detected traffic profiles (up-peak, interfloor or down-peak profiles). Besides, we added a proportional integral controller (PI) to assign different weights to passenger waiting time and energy consumption to evaluate the performance of our GA. Different versions of this GA, minimizing passenger waiting time and/or energy consumption, were compared among them and to a conventional control algorithm using three different types of simulated profiles: a mixed one, three well-known full day office profiles and three different step profiles. The results showed that the bi-objective GA version with the estimation of the number of passengers behind a call, i.e. the passenger forecasting, together with the parking policy for up-peak or down-peak conditions significant
Autores:
Martínez Compains, J. (Autor de correspondencia); Rodríguez, Ignacio; Gencay, R.; et al.
Revista:
STUDIES IN NONLINEAR DYNAMICS AND ECONOMETRICS
ISSN:
1081-1826
Año:
2021
Vol.:
25
N°:
5
Págs.:
255 - 265
Johansen's Cointegration Test (JCT) performs remarkably well in finding stable bivariate cointegration relationships. Nonetheless, the JCT is not necessarily designed to detect such relationships in presence of non-linear patterns such as structural breaks or cycles that fall in the low frequency portion of the spectrum. Seasonal adjustment procedures might not detect such non-linear patterns, and thus, we expose the difficulty in identifying cointegrating relations under the traditional use of JCT. Within several Monte Carlo experiments, we show that wavelets can empower more the JCT framework than the traditional seasonal adjustment methodologies, allowing for identification of hidden cointegrating relationships. Moreover, we confirm these results using seasonally adjusted time series as US consumption and income, gross national product (GNP) and money supply M1 and GNP and M2.
Revista:
MEDICAL AND BIOLOGICAL ENGINEERING AND COMPUTING
ISSN:
0140-0118
Año:
2020
Vol.:
58
N°:
3
Págs.:
589 - 599
We present a new, automatic, correlation-based method for measuring the duration of motor unit action potentials (MUAPs). The method seeks to replicate the way an expert elctromyographer uses his or her eyes, calculating the start and end of the MUAP waveform on the basis of the degree of similarity of non-excluded discharges. We analysed 68 potentials from normal deltoid muscles during slight contraction. For each MUAP, two experienced electromyographers manually determined start and end marker positions, which were used as gold standard duration positions (GSP) in our subsequent tests. The novel method was compared with Nandedkar's method and a wavelet transform-based method. To compare the three methods, the differences between the automatic marker positions and GSPs were statistically evaluated using one-factor ANOVA, the estimated mean square error, and a Chi-square test on the numbers of automatic marker placements with gross errors. All these parameters showed smaller values for the novel method and in most of the cases were statistically significant. In addition, the parameters of the new method were subjected to a sensitivity study, showing its good performance within a range of clinically useful parameter values. The new automatic method determined start and end markers in a more accurate and reliable manner than both of the acknowledged state-of-the art methods used in our comparison study. The description of a new automatic duration measurement algorithm based on the similarity among discharges of the same MUAP. This method gave better results than the Nandedkar method and a highly regarded wavelet-based method. The new correlation-based method also had the lowest rate of gross aberrant errors in automatic placements
Revista:
APPLIED ECONOMICS LETTERS
ISSN:
1350-4851
Año:
2018
Vol.:
25
N°:
5
Págs.:
305 - 308
This study examines the relationship between oil prices and economic activity in the G-7 economies during the period 1960M1¿2014M07 using a wavelet approach. The results show significant differences in the relationship between these two variables depending on the frequencies. Furthermore, we find that oil price shocks affect economic activity at low frequencies (long run) in all G-7 countries, while the effect at high frequencies (short run) is limited to a few countries.
Autores:
Malanda-Trigueros, A. (Autor de correspondencia); Navallas, J. ; Rodriguez-Falces, J.; et al.
Revista:
CLINICAL NEUROPHYSIOLOGY
ISSN:
1388-2457
Año:
2018
Vol.:
129
N°:
6
Págs.:
1170 - 1181
Objective: To evaluate the performance of a recently proposed motor unit action potential (MUAP) averaging method based on a sliding window, and compare it with relevant published methods in normal and pathological muscles. Methods: Three versions of the method (with different window lengths) were compared to three relevant published methods in terms of signal analysis-based merit figures and MUAP waveform parameters used in the clinical practice. 218 MUAP trains recorded from normal, myopathic, subacute neurogenic and chronic neurogenic muscles were analysed. Percentage scores of the cases in which the methods obtained the best performance or a performance not significantly worse than the best were computed. Results: For signal processing figures of merit, the three versions of the new method performed better (with scores of 100, 86.6 and 66.7%) than the other three methods (66.7, 25 and 0%, respectively). In terms of MUAP waveform parameters, the new method also performed better (100, 95.8 and 91.7%) than the other methods (83.3, 37.5 and 25%). Conclusions: For the types of normal and pathological muscle studied, the sliding window approach extracted more accurate and reliable MUAP curves than other existing methods. Significance: The new method can be of service in quantitative EMG. (C) 2018 International Federation of Clinical Neurophysiology. Published by Elsevier B.V.
Revista:
ENERGY SOURCES. PART B. ECONOMICS, PLANNING, AND POLICY
ISSN:
1556-7249
Año:
2017
Vol.:
12
N°:
5
Págs.:
420 - 427
This paper contributes to the literature on crude oil price behavior and examines how this affects mergers and acquisitions (M&A) in the petroleum industry in the US. The paper analyzes the relationship of these two series by studying its dynamic in the time¿frequency domain. The novelty of this study¿s approach lies in the application of wavelet tools for its resolution. Monthly data are used in this study, covering the period January 1980¿June 2012. It was observed that there was a shift to higher frequencies of the wavelet coherency during the mid-1990s and the late 2000s. The results also indicate that during the mid-1990s and the late-2000s, an increase in M&A took place that was led by the increase in West Texas Intermediate crude oil prices.
Revista:
SOFT COMPUTING
ISSN:
1432-7643
Año:
2016
Vol.:
20
N°:
9
Págs.:
3595 - 3609
Reduction of passenger waiting time in a multiple elevator system is an important goal in the lift industry. Genetic algorithms (GAs) have been applied to the dispatching problem in vertical transportation. In this paper, we present an approach based on a GA with several relevant adjustments to adapt this type of algorithm to this problem. The algorithm serves calls currently registered in the system to create a dispatch plan, under the assumption that just one passenger has made each call (i.e. without passenger forecasting). We develop and investigate various versions of the GA incorporating one or more adjustments in this research area. The algorithms were implemented and evaluated using ELEVATE, for two different building configurations, in terms of incoming, outgoing and interfloor profiles. To compare results, one-factor analysis of variance tests were applied to passenger waiting times. The performance of the basic GA was significantly improved upon by making these adjustments. These adjustments turn out to be essential for a successful implementation of a GA in the dispatching problem.
Autores:
Malanda-Trigueros, A. (Autor de correspondencia); Rodríguez, Ignacio; Navallas-Irujo, J.; et al.
Revista:
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
ISSN:
1746-8094
Año:
2016
Vol.:
27
Págs.:
32 - 43
In quantitative electromyography (EMG), the set of potentials that constitute a motor unit action potential (MUAP) train are represented by a single waveform from which various parameters are determined in order to characterize the MUAP for diagnostic analysis. Several methods that extract such a waveform are currently available, and they are, in essence, based on two operations: averaging and selection, which are performed either sample-by-sample or on the whole-potential. We present a new approach that carries out selection and averaging on a local interval basis.
We tested our algorithm with a dataset of MUAP records extracted from the tibialis anterioris muscle of healthy subjects and compared it with some of the most relevant state-of-the-art methods considered in a previous work (Malanda et al., J. Electromyogr. Kinesiol., 2015). The comparison covered general purpose signal processing figures of merit and clinically used MUAP waveform parameters. Significantly better results in both sets of figures of merit were obtained with the new approach. In addition, relative to the other algorithms tested, the new approach required fewer potentials from the MUAP set to obtain an accurate representative waveform.
Autores:
Malanda, A.; Navallas, J.; Rodríguez-Falces, J.; et al.
Revista:
JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY
ISSN:
1050-6411
Año:
2015
Vol.:
25
N°:
4
Págs.:
581-595
Revista:
EUROPEAN JOURNAL OF LAW AND ECONOMICS
ISSN:
0929-1261
Año:
2015
Vol.:
40
N°:
1
Págs.:
13 - 31
This work performs a comparative welfare analysis of two types of entry regulation in a duopolistic retail market: number of licenses and minimum distance between stores. In a linear (Hotelling) market we show that a minimum distance rule is beneficial for consumers and disadvantageous for the firms when demand is sufficiently inelastic. The distance rule that maximises social welfare is one quarter of the market under which firms will be located at the quartiles. Those locations are also optimal under regulated prices. Moreover, our model of two licenses with simultaneous entry is the first one that performs the horizontal product differentiation analysis using quadratic transportation costs and a binding reservation price. We find that a subgame perfect equilibrium exists for all the values of the reservation price and, for those values that induce a unique location equilibrium, the distance between the firms ranges from one half of the of the market to the whole market length.This analysis, which is not yet considered in the literature, is motivated by a change of entry regulation in the drugstore market in the Spanish region of Navarre. Since the demand in this market is quite inelastic, the minimum distance rule maybe socially more beneficial than the license rule.
Autores:
Rodríguez, J.; Navallas, J.; Gila, L.; et al.
Revista:
JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY
ISSN:
1050-6411
Año:
2011
Vol.:
21
N°:
3
Págs.:
423 - 432
In a series of previous works we studied the ratio between the amplitudes of the second and first phases (the peak-to-peak ratio) of single fibre action potential (SFAPs) using the Dimitrov¿Dimitrova SFAP convolutional model as a reference. From experimental potentials extracted from both healthy and diseased muscles, we determined typical peak-to-peak ratio (PPR) values and ranges for both normal and pathological conditions. In addition, we investigated the changes observed in the PPR of consecutive potentials recorded at different fibre-to-electrode distances. However, our results were not conclusive due to insufficient data. The objective of the present work was to obtain a more concrete description of the relation between PPR and radial distance. To this end, we recorded 135 sets of consecutive SFAPs from the m. tibialis anterior of four normal subjects. The needle was intentionally moved whilst recording each SFAP set. We found that PPR was largely independent of small changes in electrode position when the electrode was close to the fibre and sufficiently far from the neuromuscular and/or fibre¿tendon junctions. In the discussion, we provide evidence that this result is in agreement with the generation of extracellular potentials considering the spatial extension of the intracellular action potential (IAP) along the fibre.
Autores:
Navallas-Irujo, J. (Autor de correspondencia); Malanda-Trigueros, A.; Gila-Useros, L.; et al.
Revista:
MEDICAL AND BIOLOGICAL ENGINEERING AND COMPUTING
ISSN:
0140-0118
Año:
2010
Vol.:
48
Págs.:
875 - 886
The aim of this study was to develop a muscle architecture model able to account for the observed distributions of innervation ratios and fiber densities of different types of motor units in a muscle. A model algorithm is proposed and mathematically analyzed in order to obtain an inverse procedure that allows, by modification of input parameters, control over the output distributions of motor unit fiber densities. The model¿s performance was tested with independent data from a glycogen depletion study of the medial gastrocnemius of the rat. Results show that the model accurately reproduces the observed physiological distributions of innervation ratios and fiber densities and their relationships. The reliability and accuracy of the new muscle architecture model developed here can provide more accurate models for the simulation of different electromyographic signals.
Autores:
Rodríguez-Falces, J.; Malanda-Trigueros, A.; Gila-Useros, L.; et al.
Revista:
JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY
ISSN:
1050-6411
Año:
2010
Vol.:
20
N°:
5
Págs.:
868 - 878
In a previous work we studied the ratio between the amplitudes of the second and first phases (which we call PPR, after peak-to-peak ratio) of the single fibre action potential (SFAP) for a collection of fibrillation potentials (FPs) extracted from two pathological muscles. These FPs showed a wider PPR range than the Dimitrov¿Dimitrova (D¿D) convolutional model could provide. We proposed a modification of the D¿D intracellular action potential (IAP) in order to obtain a range of PPRs comparable to that observed in our FPs. This paper extends that study to a large number of SFAPs extracted from the tibialis anterior muscle of normal subjects. The estimation of the average PPR range of non-diseased muscles in non-fatigued conditions is important since it can be used as a reference to establish a comparison with PPR ranges from muscles suffering some disorder or from fibres that are fatigued. Other aspects of the PPR, as its sensitivity with volume conductor parameters or to what extent changes in the SFAP PPR reflects changes in IAP spatial profile are also examined. We found that the PPR of experimental SFAPs ranges from 0.3 to 2.5 in all subjects and that all PPR histograms contain a well-defined single peak around the PPR value 1.0.
Autores:
Rodríguez-Falces, J. (Autor de correspondencia); Navallas-Irujo, J.; Gila-Useros, L.; et al.
Revista:
JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY
ISSN:
1050-6411
Año:
2010
Vol.:
20
N°:
6
Págs.:
1249 - 1258
Using the core-conductor theory, a single fibre action potential (SFAP) can be expressed as the convolution of a biolectrical source and a weight function. In the Dimitrov¿Dimitrova (D¿D) SFAP convolutional model, the first temporal derivative of the intracellular action potential (IAP) is used as the source. The present work evaluates the relationship between the SFAP peak-to-peak amplitude (Vpp) and peak-to-peak interval (rise-time, RT) at different fibre-to-electrode distances using simulated signals obtained by the D¿D model as well as real recordings. With a single fibre electrode, we recorded 63 sets of consecutive SFAPs from the m. tibialis anterior of four normal subjects. The needle was intentionally moved whilst recording each SFAP set. We used the observed changes in RT and Vpp within each SFAP set as a point of reference with which to evaluate how closely the relationship between RT and Vpp provided by the D¿D model reflects real data. We found that half of the recorded SFAP sets had rise-times higher than those generated by the D¿D model. We also showed the influence of the IAP spatial length on the sensitivity of RT and Vpp with radial distance. The study reveals some inaccuracies in simulated SFAPs whose origin might be related to the assumptions made in the core-conductor theory.
Revista:
CLINICAL NEUROPHYSIOLOGY
ISSN:
1388-2457
Año:
2010
Vol.:
121
N°:
9
Págs.:
1574 - 1583
Autores:
Rodríguez-Falces, J. (Autor de correspondencia); Malanda-Trigueros, A.; Gila-Useros, L.; et al.
Revista:
JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY
ISSN:
1050-6411
Año:
2010
Vol.:
20
N°:
2
Págs.:
264 - 273
The Dimitrov¿Dimitrova (D¿D) model generates a single fibre action potential (SFAP) as the convolution of an excitation function and a filter impulse function. We propose a method to estimate the parameters involved in these functions from a SFAP waveform (inverse problem) and call it Identification Procedure. The Identification Procedure comprises two parts. The present paper, Part I, is centred on the estimation of the radial distance, r, and the fibre diameter, d, of a given SFAP. To this end we develop a technique which we call the candidate pair method (CP-method), and we test it on fibrillation potentials (FPs) as experimental data. We found that the D¿D model cannot synthesize all the SFAP waveforms observed in the experimental recordings, but in the cases where it can, the CP-method then provides the values of r and d that are more likely to have synthesized the SFAP. Having a method that provides information about the fibre diameter straight from a SFAP waveform is very desirable as this parameter has clinical and physiological relevance. Moreover, the CP-method plays a major role in the Identification Procedure that is carried out in Part II.
Autores:
Rodríguez-Falces, J. (Autor de correspondencia); Malanda-Trigueros, A.; Gila-Useros, L.; et al.
Revista:
JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY
ISSN:
1050-6411
Año:
2010
Vol.:
20
N°:
2
Págs.:
274 - 283
The present paper describes a global procedure for estimating all the synthesis parameters that generate a single fibre action potential (SFAP) in the Dimitrov¿Dimitrova (D¿D) convolutional model. We call this inverse problem Identification Procedure, and it is presented in two parts, this paper being the second. The procedure incorporates the candidate pair (CP) method developed in Part I, which provides the values of radial distance r and fibre diameter d of the simulated SFAP that best matches a potential under study. The CP-method required prior knowledge of all the excitation parameters. However, since the Identification Procedure makes no assumption about the excitation, multiple combinations of the synthesis parameters result in very similar SFAPs whose shape is close the signal under study. Analysis of the possible combinations reveals that r and d can be modelled as two jointly Gaussian random variables. The interest of the Identification Procedure is that, for a certain SFAP, it provides estimates of r and d, along with estimates of different parameters that determine the IAP waveform. Moreover, the procedure is able to determine the degree of error that accompanies the estimation of r and d.
Revista:
JOURNAL OF BIOMECHANICS
ISSN:
0021-9290
Año:
2010
Vol.:
43
N°:
13
Págs.:
2589 - 2594
Revista:
JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY
ISSN:
1050-6411
Año:
2010
Vol.:
20
N°:
6
Págs.:
1097 - 1106
The purpose of this study was to investigate the sensitivity of new surface electromyography (sEMG) indices based on the discrete wavelet transform to estimate acute exercise-induced changes on muscle power output during a dynamic fatiguing protocol. Fifteen trained subjects performed five sets consisting of 10 leg press, with 2 min rest between sets. sEMG was recorded from vastus medialis (VM) muscle. Several surface electromyographic parameters were computed. These were: mean rectified voltage (MRV), median spectral frequency (F-med), Dimitrov spectral index of muscle fatigue (FInsm5), as well as five other parameters obtained from the stationary wavelet transform (SWT) as ratios between different scales. The new wavelet indices showed better accuracy to map changes in muscle power output during the fatiguing protocol. Moreover, the new wavelet indices as a single parameter predictor accounted for 46.6% of the performance variance of changes in muscle power and the log-FInsm5 and MRV as a two-factor combination predictor accounted for 49.8%. On the other hand, the new wavelet indices proposed, showed the highest robustness in presence of additive white Gaussian noise for different signal to noise ratios (SNRs). The sEMG wavelet indices proposed may be a useful tool to map changes in muscle power output during dynamic high-loading fatiguing task.
Nacionales y Regionales
Título:
INTEGRACION FRACCIONAL: AVANCES TEORICOS Y DESARROLLOS EMPIRICOS
Código de expediente:
PID2020-113691RB-I00
Investigador principal:
Luis Alberiko Gil Alaña
Financiador:
AGENCIA ESTATAL DE INVESTIGACION
Convocatoria:
2020 AEI PROYECTOS I+D+i (incluye Generación del conocimiento y Retos investigación)
Fecha de inicio:
01/01/2021
Fecha fin:
31/12/2023
Importe concedido:
18.150,00€
Otros fondos:
-
Título:
Precios del petróleo y de las materias primas, incertidumbre económica y su interacción con variables económicas y financiaeres. Implicaciones de política
Código de expediente:
ECO2017-83183-P
Financiador:
MINISTERIO DE CIENCIA, INNOVACIÓN Y UNIVERSIDADES
Convocatoria:
2017 MINECO RETOS INVESTIGACION. PROYECTOS DE I+D+i
Fecha de inicio:
01/01/2018
Fecha fin:
30/09/2021
Importe concedido:
29.040,00€
Otros fondos:
Fondos FEDER
Título:
Integración fraccional, procesos de memoria larga y no linealidades en series de tiempo. Evidencia en los países en vías de desarrollo.
Código de expediente:
ECO2017-85503-R
Investigador principal:
Luis Alberiko Gil Alaña
Financiador:
MINISTERIO DE CIENCIA, INNOVACIÓN Y UNIVERSIDADES
Convocatoria:
2017 MINECO RETOS INVESTIGACION. PROYECTOS DE I+D+i
Fecha de inicio:
01/01/2018
Fecha fin:
31/12/2020
Importe concedido:
6.050,00€
Otros fondos:
Fondos FEDER