20 research outputs found

    Funnel-based Reachability Control of Unknown Nonlinear Systems using Gaussian Processes

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    This paper aims to synthesize a reachability controller for an unknown dynamical system. We first learn the unknown system using Gaussian processes and the (probabilistic) guarantee on the learned model. Then we use the funnel-based controller synthesis approach using this approximated dynamical system to design the controller for a reachability specification. Finally, the merits of the proposed method are shown using a numerical example.Comment: Accepted in Indian Control Conference 202

    Effet de la Paroxetine sur le sommeil de patients dépressifs analysé avec Somno-Art et la polysomnographie

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    Objectif: La dépression, ainsi que l’utilisation d’antidépresseurs, sont associées à une modification de l’architecture du sommeil. Somno-Art, une solution de scoring automatique du sommeil à partir de la fréquence cardiaque et du mouvement, a été validée dans diverses études incluant des sujets sains et des patients. Ici, nous nous interrogeons de la capacité de Somno-Art à détecter des modifications de l’architecture du sommeil suite à la prise d’un antidépresseur, la Paroxetine. Méthodes: Onze patients souffrant de dépression ont été enregistrés lors d’une nuit de baseline suivie d’une nuit après une dose de Paroxétine. Les stades de sommeil ont été obtenu à partir de la PSG et de l’analyse Somno-Art. Résultats: Les analyses PSG et Somno-Art montrent une augmentation significative du sommeil NREM et une diminution significative du sommeil REM après la prise de Paroxetine. Aucun autre paramètre de sommeil ne montre de variation significative, mais nous pouvons voir que les tendances observées avec la PSG sont également visibles avec l’analyse Somno-Art. Conclusion: Somno-Art montre des différences comparables à la PSG pour les principaux paramètres du sommeil. La solution permet de tirer les mêmes conclusions concernant l’effet potentiel du médicament sur le sommeil. Ainsi, Somno-Art propose une solution ambulatoire fiable pour l’évaluation des paramètres du sommeil qui pourrait avoir tout son intérêt pour des essais pharmaceutiques

    Variabilité interscoreurs entre 5 centres de sommeil comparé à une analyse cardio-actimétrique

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    Introduction: Health literacy is the ability to understand the basic health information and to receive and manage health services that allow an individual to make appropriate healthcare decisions. Within medicine, the recommendation is for patient education materials to be written at no higher than fifth grade. However, most materials have been found to be written at greater than eighth grade literacy. The health literacy of a patient with head and neck cancer (HNC) has an ability to affect cancer treatment and outcomes. We evaluated the health literacy and the associated factors in patients diagnosed with HNC. Methods: This was a retrospective chart review of patients with HNC who presented for pretreatment evaluation with an embedded psych-oncologist in Otolaryngology department of an academic medical center from 2018 to 2021. The outcome variable was health literacy which was measured using the Rapid Evaluation of Adult Literacy in Medicine (REALM-SF) tool. The REALM-SF, a validated instrument, is a 7‐item word recognition test which provides scores of zero to seven. Zero points correlate to third grade and below, one to three points correlate to between fourth and sixth grade, four to six points correlate to seventh to eighth grade, and seven points correlate to high school reading level. In this study, adequate health literacy was defined as having a score of seven. Independent variables assessed included sociodemographic factors (age, sex, race, education level, employment status), smoking status, and psychosocial factors (relationship status, social support). Multivariable logistic regression model was used to examine the association between sociodemographic factors, smoking status and psychosocial factors, and health literacy. Results: A total of 421 patients were included in the study, of which 65.6% (n=276) had adequate health literacy. The average age of patients was 63.4 years (SD=10.9); and majority of patients were male (72.4%), white race (74.6%), married (64.7%), and had emotional support (73.3%). Approximately 43% of patients had a high school diploma or less, and 30% were current smokers. In the adjusted analyses, sex, race, education, and emotional support were associated with health literacy. Compared to females, males (aOR=0.34; 95% CI: 0.14–0.82) were less likely to have adequate health literacy, as were Blacks (aOR=0.26; 95% CI: 0.11–0.65) compared with Whites. Patients who had a high school diploma or less were 89% less likely to have adequate health literacy compared to those with college degree or higher (aOR=0.11; 95% CI: 0.04–0.33). Patients who had no emotional support (aOR=4.25; 95% CI: 1.40–12.91) were more likely to have adequate health literacy compared to those with emotional support. Conclusion: Males, Blacks, and patients with lower education were more likely to have inadequate health literacy. Future investigation in quantifying these gaps is needed to ensure these patients are receiving adequate knowledge support throughout their treatment to improve shared decision making and outcomes

    Cognitive Effects of MIN-101 in Patients With Schizophrenia and Negative Symptoms

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    Current dopamine-blocking antipsychotic drugs have little impact on the cognitive deficits associated with schizophrenia. We evaluated whether MIN-101, a molecule that combines sigma-2 antagonism and 5-HT2A antagonism, might improve cognitive deficits in individuals with moderate to severe negative symptoms in schizophrenia. Individuals (N = 244) aged 18 to 60 years with stable symptoms of DSM-5-defined schizophrenia and moderate to severe negative symptoms were randomized to placebo (n = 83), MIN-101 32 mg (n = 78), or MIN-101 64 mg (n = 83) in a 12-week, phase 2b, prospective, double-blind, placebo-controlled, parallel-group trial between May 2015 and December 2015. In a post hoc analysis, mean z and T score changes from baseline at 12 weeks of treatment in the cognitive composite score and individual tests on the Brief Assessment of Cognition in Schizophrenia (BACS) Battery were compared between MIN-101 and placebo. A total of 79 patients (95.2%) from the placebo group, 76 (97.4%) from the MIN-101 32 mg group, and 79 (95.2%) from the MIN-101 64 mg group completed the BACS at baseline. The BACS token motor (P = .04), verbal fluency (P = .01), and composite z scores (P = .05) showed significant improvements in the MIN-101 32 mg group compared to the placebo group. At week 4, the clinical improvements from baseline in the Positive and Negative Syndrome Scale (PANSS) negative factor showed a significant correlation with improvements from baseline on the BACS composite in the 64 mg group (r = -0.292, P = .020). At week 12, improvement in the PANSS negative factor showed significant correlations with improvements in the BACS composite (r = -0.408, P = .002), Trail Making Test (r = -0.394, P = .003), and verbal memory (r = -0.322, P = .017) for the 64 mg group. Results suggest a possible benefit of MIN-101 on cognitive performance in individuals with schizophrenia with stable positive symptoms and concurrent clinically significant negative symptoms. EU Clinical Trials Register identifier: 2014-004878-42​

    Performance of Somno-Art Software compared to polysomnography interscorer variability: A multi-center study

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    The visual scoring of gold standard polysomnography (PSG) is known to present inter- and intra-scorer variability. Previously, Somno-Art Software, a cardiac based sleep scoring algorithm, has been validated in comparison to 2 expert visual PSG scorers. The goal of this research is to evaluate the performances of the algorithm against a pool of scorers. Sixty PSG and actimetry recording nights, representative of clinical practice (healthy subjects and patients suffering from obstructive sleep apnea [OSA], insomnia or major depressive disorder), were scored by 5 different sleep scoring centers and by the Somno-Art Software. Intra-class correlation coefficient (ICC) and Wilcoxon Signed-Rank Test were calculated between each scorer and the average value of the 6 scorers, including Somno-Art Software. In addition, epoch-by-epoch agreement between scorers were analyzed. Somno-Art Software estimation of sleep efficiency, wake, N1+N2, N3 and REM sleep fit within the interscorer range for the full dataset and the subgroups, except for underestimating N3 sleep in OSA patients. Additionally, Somno-Art Software overestimated sleep latency compared to the average scoring for insomniacs (+4.7 ± 1.6min). On the full dataset, Somno-Art Software had good (0.75 \u3c ICC\u3c0.90) or excellent (ICC\u3e0.90) ICC scores for all sleep parameters except N3 sleep (moderate score, 0.50 \u3c ICC\u3c0.75). For the 4-stages epoch-by-epoch agreement, Somno-Art Software was slightly below that of the visual scorers except for the healthy sub-group where an overlap was demonstrated. Somno-Art Software sleep scoring shows a good interscorer reliability in the range of the 5 visual polysomnography scorers
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