The Experts below are selected from a list of 237 Experts worldwide ranked by ideXlab platform
Carlo Lovati - One of the best experts on this subject based on the ideXlab platform.
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Sleep apnea headache and headaches with sleep apnea: the importance of being secondary
Expert review of neurotherapeutics, 2013Co-Authors: Carlo LovatiAbstract:“If the application of new diagnostic criteria will enlarge the possibility of diagnostic confusion between primary headaches with sleep apneas and sleep apnea headache, then pathophysiological investigations will also be negatively influenced.” Sleep apnea headache is an infrequent form of secondary headache in spite of the prevalence of its Causal Condition, the sleep apnea. Its real prevalence is uncertain for several reasons: differences of the studies (population-based or clinical studies), differences of diagnostic criteria used in the past years and the frequent alternative, even incorrect, use of morning headache instead of sleep apnea headache (being the second a subgroup of the first, that in turn is a unspecific Condition). Headache present at the awakening in the morning, after the nocturnal sleep, has been found associated with a great number of clinical Conditions including sleep disorders, primary headache transformation/chronification, psychological distress,
Renate B. Schnabel - One of the best experts on this subject based on the ideXlab platform.
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Detection of Atrial Fibrillation in Cryptogenic Stroke.
Current neurology and neuroscience reports, 2018Co-Authors: Karl Georg Haeusler, Serdar Tütüncü, Renate B. SchnabelAbstract:To summarize the literature on the detection of atrial fibrillation (AF) in patients with “cryptogenic” stroke, a cohort including about 25% of all ischemic stroke patients and patients with embolic stroke of undetermined source (ESUS). A first episode of AF is detected in up to one third of cryptogenic stroke and in up to one fourth of ESUS patients during long-term monitoring. AF prevalence correlates to patient selection, duration, and quality of ECG monitoring. Higher rates of AF were reported in stroke patients with left atrial pathology, specific ECG alterations, or increased natriuretic peptides. While AF detection impacts on medical stroke prevention in the vast majority of patients, patient selection for prolonged monitoring is largely left at the physician’s discretion. AF detection after cryptogenic stroke or ESUS is a frequent, potentially Causal Condition. Whether subsequent oral anticoagulation may improve outcome remains open.
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Detection of Atrial Fibrillation in Cryptogenic Stroke
Current Neurology and Neuroscience Reports, 2018Co-Authors: Karl Georg Haeusler, Serdar Tütüncü, Renate B. SchnabelAbstract:Purpose of Review To summarize the literature on the detection of atrial fibrillation (AF) in patients with “cryptogenic” stroke, a cohort including about 25% of all ischemic stroke patients and patients with embolic stroke of undetermined source (ESUS). Recent Findings A first episode of AF is detected in up to one third of cryptogenic stroke and in up to one fourth of ESUS patients during long-term monitoring. AF prevalence correlates to patient selection, duration, and quality of ECG monitoring. Higher rates of AF were reported in stroke patients with left atrial pathology, specific ECG alterations, or increased natriuretic peptides. While AF detection impacts on medical stroke prevention in the vast majority of patients, patient selection for prolonged monitoring is largely left at the physician’s discretion. Summary AF detection after cryptogenic stroke or ESUS is a frequent, potentially Causal Condition. Whether subsequent oral anticoagulation may improve outcome remains open.
Ettore Minguzzi - One of the best experts on this subject based on the ideXlab platform.
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Globally hyperbolic spacetimes can be defined without the `Causal' Condition
Classical and Quantum Gravity, 2019Co-Authors: R A Hounnonkpe, Ettore MinguzziAbstract:Reasonable spacetimes are non-compact and of dimension larger than two. We show that these spacetimes are globally hyperbolic if and only if the Causal diamonds are compact. That is, there is no need to impose the Causality Condition, as it can be deduced. We also improve the definition of global hyperbolicity for the non-regular theory (non $C^{1,1}$ metric) and for general cone structures by proving the following convenient characterization for upper semi-continuous cone distributions: Causality and the Causally convex hull of compact sets is compact. In this case the Causality Condition cannot be dropped, independently of the spacetime dimension. Similar results are obtained for Causal simplicity.
Martin C. Hirsch - One of the best experts on this subject based on the ideXlab platform.
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MedInfo - Introduction of a Pathophysiology-Based Diagnostic Decision Support System and Its Potential Impact on the Use of AI in Healthcare.
Studies in health technology and informatics, 2019Co-Authors: Sandra Kühnel, Milan Jovanovic, Henry Hoffmann, Sabrina Golde, Lennert Schneider, Martin C. HirschAbstract:Many currently available Diagnostic Decision Support Systems (DDSS) are based on Causal Condition-symptom relations that exhibit certain shortcomings. Ada's new approach explores the capabilities of DDSS based on pathophysiology, describing a disease as a dynamically evolving process. We generated a pathophysiology model for 8 Conditions and 68 findings suitable to assess this approach. Preliminary results meet our expectations while leaving space for further improvement.
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EFMI-STC - Introduction of a Pathophysiology-Based Diagnostic Decision Support System.
Studies in health technology and informatics, 2019Co-Authors: Sandra Kühnel, Milan Jovanovic, Henry Hoffmann, Sabrina Golde, Martin C. HirschAbstract:Many current Clinical Decision Support Systems which assist clinical diagnosis, are based on a Causal Condition-symptom relation. To reach more diagnostic precision Ada's Deep Reasoning is substituting this approach with the use of a model based on pathophysiology.
Rouzbeh Amini - One of the best experts on this subject based on the ideXlab platform.
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study of noise canceling performance of feedforward fuzzy based anc system under non Causal Condition
Intelligent Systems Design and Applications, 2006Co-Authors: Hamed Mojallali, Roozbeh Izadizamanabadi, Rouzbeh AminiAbstract:Feed-forward active noise control (ANC) systems act as adaptive systems to control and cancel undesired signals and noises. If the delay in the noise canceling subsystems increases more than the delays in the primary path, non-Causal Condition will occur in these systems. In this paper, study of noise canceling performance of feed-forward fuzzy-based ANC systems for ducts under non-Causal Condition is presented. For this purpose, we use fuzzy filtered-x algorithm as an adaptive filter and the results are compared with classical filtered-x algorithm which is employed under the same Conditions. Analysis shows that ANC system using fuzzy algorithm has better efficiency for noise cancellation in non-Causal Condition
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ISDA (1) - Study of Noise Canceling Performance of Feedforward Fuzzy-Based ANC System under Non-Causal Condition
Sixth International Conference on Intelligent Systems Design and Applications, 2006Co-Authors: Hamed Mojallali, Roozbeh Izadi-zamanabadi, Rouzbeh AminiAbstract:Feed-forward active noise control (ANC) systems act as adaptive systems to control and cancel undesired signals and noises. If the delay in the noise canceling subsystems increases more than the delays in the primary path, non-Causal Condition will occur in these systems. In this paper, study of noise canceling performance of feed-forward fuzzy-based ANC systems for ducts under non-Causal Condition is presented. For this purpose, we use fuzzy filtered-x algorithm as an adaptive filter and the results are compared with classical filtered-x algorithm which is employed under the same Conditions. Analysis shows that ANC system using fuzzy algorithm has better efficiency for noise cancellation in non-Causal Condition