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- Karimi, Mahssa, et al.
(författare)
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Is a polysomnographic recording prior to MSLT worth the effort? : Lohnt sich eine Polysomnographie vor dem MSLT?
- 2011
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Ingår i: Somnologie - Schlafforschung und Schlafmedizin. - : Springer Science and Business Media LLC. - 1432-9123 .- 1439-054X. ; 15:4, s. 239-242
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Tidskriftsartikel (refereegranskat)abstract
- Objective. It was recently proposed that polysomnography (PSG) may be replaced by actigraphy in order to obtain long-term sleep time prior to the multiple sleep latency test (MSLT). Polysomnography is used to assess sleep time and to detect and classify underlying sleep pathology. In the following article, the contribution of PSG to the diagnostic outcome of the MSLT is discussed.Methods. MSLT referrals (n = 81) with in-home polysomnography from the neurology (n = 39, 23 women, 37 (±13) years) and pulmonary medicine (n = 42, 20 women, 41 (±14) years) departments were analyzed. The diagnostic outcomes of the PSG and MSLT were examined.Results. Median total sleep time prior to MSLT was 362 (range, 156–530) min. Sleep apnea (respiratory disturbance index > 15/h and > 30/h) was diagnosed in 21 and 19 patients, respectively. Periodic limb movements (PLM) were identified in 5 patients; 3 of these had a PLM arousal index > 5/h. Sleep onset REM (SOREM) was detected during PSG in 5 patients; 4 of these also had SOREM in the MSLT.Conclusion. PSG combined with MSLT was found to improve diagnostic outcome and is highly useful for recognition of sleep-related pathology. Various sleep disorders remain undetected if ACT alone is used prior to MSLT procedures.
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| 2. |
- Andersson, Daniel, et al.
(författare)
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A maximum principle for SDEs of mean-field type
- 2011
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Ingår i: Applied mathematics and optimization. - : Springer Science and Business Media LLC. - 0095-4616 .- 1432-0606. ; 63:3, s. 341-356
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Tidskriftsartikel (refereegranskat)abstract
- We study the optimal control of a stochastic differential equation (SDE) of mean-field type, where the coefficients are allowed to depend on some functional of the law as well as the state of the process. Moreover the cost functional is also of mean-field type, which makes the control problem time inconsistent in the sense that the Bellman optimality principle does not hold. Under the assumption of a convex action space a maximum principle of local form is derived, specifying the necessary conditions for optimality. These are also shown to be sufficient under additional assumptions. This maximum principle differs from the classical one, where the adjoint equation is a linear backward SDE, since here the adjoint equation turns out to be a linear mean-field backward SDE. As an illustration, we apply the result to the mean-variance portfolio selection problem.
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