Development and validation of preliminary fractional order impedance models for experimental pain assessment

Author(s):  
Isabela Birs ◽  
Cristina Muresan ◽  
Mihaela Ghita ◽  
Maria Ghita ◽  
Dana Copot ◽  
...  
Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4415
Author(s):  
Brian Ospina Agudelo ◽  
Walter Zamboni ◽  
Eric Monmasson

This paper is a comparative study of the multiple RC, Oustaloup and Grünwald–Letnikov approaches for time domain implementations of fractional-order battery models. The comparisons are made in terms of accuracy, computational burden and suitability for the identification of impedance parameters from time-domain measurements. The study was performed in a simulation framework and focused on a set of ZARC elements, representing the middle frequency range of Li-ion batteries’ impedance. It was found that the multiple RC approach offers the best accuracy–complexity compromise, making it the most interesting approach for real-time battery simulation applications. As for applications requiring the identification of impedance parameters, the Oustaloup approach offers the best compromise between the goodness of the obtained frequency response and the accuracy–complexity requirements.


2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Marina C. Evangelista ◽  
Ryota Watanabe ◽  
Vivian S. Y. Leung ◽  
Beatriz P. Monteiro ◽  
Elizabeth O’Toole ◽  
...  

AbstractGrimace scales have been used for pain assessment in different species. This study aimed to develop and validate the Feline Grimace Scale (FGS) to detect naturally-occurring acute pain. Thirty-five client-owned and twenty control cats were video-recorded undisturbed in their cages in a prospective, case-control study. Painful cats received analgesic treatment and videos were repeated one hour later. Five action units (AU) were identified: ear position, orbital tightening, muzzle tension, whiskers change and head position. Four observers independently scored (0–2 for each AU) 110 images of control and painful cats. The FGS scores were higher in painful than in control cats; a very strong correlation with another validated instrument for pain assessment in cats was observed (rho = 0.86, p < 0.001) as well as good overall inter-rater reliability [ICC = 0.89 (95% CI: 0.85–0.92)], excellent intra-rater reliability (ICC > 0.91), and excellent internal consistency (Cronbach’s alpha = 0.89). The FGS detected response to analgesic treatment (scores after analgesia were lower than before) and a cut-off score was determined (total pain score > 0.39 out of 1.0). The FGS is a valid and reliable tool for acute pain assessment in cats.


2018 ◽  
Vol 51 (15) ◽  
pp. 377-382 ◽  
Author(s):  
Achraf Nasser Eddine ◽  
Benoît Huard ◽  
Jean-Denis Gabano ◽  
Thierry Poinot ◽  
Anthony Thomas ◽  
...  

Urology ◽  
2007 ◽  
Vol 70 (4) ◽  
pp. 681-684 ◽  
Author(s):  
Sedat Soyupek ◽  
Murat Bozlu ◽  
Abdullah Armağan ◽  
Alper Özorak ◽  
Hakki Perk

Urolithiasis ◽  
2013 ◽  
Vol 41 (2) ◽  
pp. 169-177 ◽  
Author(s):  
Katja Venborg Pedersen ◽  
Anne Estrup Olesen ◽  
Palle Jørn Sloth Osther ◽  
Lars Arendt-Nielsen ◽  
Asbjørn Mohr Drewes

2013 ◽  
Vol 4 (4) ◽  
pp. 226-230 ◽  
Author(s):  
Lars Arendt-Nielsen ◽  
Michele Curatolo

AbstractBackgroundMechanistic, translational, human experimental pain assessment technologies (pain bio markers) can be used for: (1) profiling the responsiveness of various pain mechanisms and pathways in healthy volunteers and pain patients, and (2) profiling the effect of new or existing analgesic drugs or pain management procedures. Translational models, which may link mechanisms in animals to humans, are important to understand pain mechanisms involved in pain patients and as tools for drug development. This is urgently needed as many drugs which are effective in animal models fail to be efficient in patients as neither the mechanisms involved in patients nor the drugs’ mechanistic actions are known.AimThe aim of the present topical review is to provide the basis for how to use mechanistic human experimental pain assessment tools (pain bio markers) in the development of new analgesics and to characterise and diagnose pain patients. The future aim will be to develop such approaches into individualised pain management regimes.MethodExperimental pain bio markers can tease out mechanistically which pain pathways and mechanisms are modulated in a given patient, and how a given compound modulates them. In addition, pain bio markers may be used to assess pain from different structures (skin, muscle and viscera) and provoke semi-pathophysiological conditions (e.g. hyperalgesia, allodynia and after-sensation) in healthy volunteers using surrogate pain models.ResultsWith this multi-modal, multi-tissue, multi-mechanism pain assessment regime approach, new opportunities have emerged for profiling pain patients and optimising drug development. In this context these technologies may help to validate targets (proof-of-concept), provide dose-response relationships, predicting which patient population/characteristics will respond to a given treatment (individualised pain management), and hence provide better understanding of the underlying cause for responders versus non-responders to a given treatment.ConclusionIn recent years, pain bio markers have been substantially developed to have now a role to play in early drug development, providing valuable mechanistic understanding of the drug action and used to characterise/profile pain patients. In drug development phase I safety volunteer studies, pain bio marker scan provide indication of efficacy and later if feasible be included in clinical phase II, III, and IV studies to substantiate mode-of-action.ImplicationsRefining and optimizing the drug development process ensures a higher success rate, i.e. not discarding drugs that may be efficient and not push non-efficient drugs too far in the costly development process. Mechanism-based pain bio markers can help to qualify the development programmes and at the same time help qualifying them by pain profiling (phenotyping) and recognising the right patients for specific trials. The success rate from preclinical data to clinical outcome may be further facilitated by using specific translational pain bio-markers. As human pain bio markers are getting more and more advanced it could be expected that FDA and EMA in the future will pay more attention to such mechanism-related measures in the approval phase as proof-of-action.


2006 ◽  
Vol 98 (2) ◽  
pp. 201-211 ◽  
Author(s):  
Camilla Staahl ◽  
Hariprasad Reddy ◽  
Soren Due Andersen ◽  
Lars Arendt-Nielsen ◽  
Asbjorn Mohr Drewes

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