Restless legs syndrome - en beskrivning av dess inverkan på individens sömn, livskvalitet samt olika behandlingsformer : En systematisk litteraturstudie

Syftet med denna systematiska litteraturstudie var att beskriva hur restless legs inverkar på individens sömn och livskvalitet. Syftet var även att granska vilka olika former av behandlingar som finns att tillgå vid restless legs. För att finna information om detta ämne har endast vetenskapliga artiklar använts. Datainsamlingen har skett via databaser, internet samt Högskolans bibliotek, och artiklar från år 1995 och framåt har valts ut. Inklusionskriterier för denna studie var att de valda artiklarna skulle vara internationella vetenskapliga artiklar i fulltext. De funna artiklarna granskades med avseende på vetenskaplig kvalitet och poängsattes utifrån för ändamålet avsedda granskningsmallar. Denna bedömning resulterade i 21 artiklar. Resultatet visade att restless legs patienter upplever sömnbristen som det största problemet. För flertalet individer som drabbas av restless legs försämrades livskvaliteten och patienterna drabbades vanligtvis av psykologiska och fysiologiska besvär. Det vanligaste sättet att behandla restless legs var att använda dopaminerga läkemedel samt bensodiazepiner, antiepileptika och opioider. Andra former av behandlingar var järn, homeopatiska läkemedel, hypnos samt fysisk aktivitet. Det förekom även att restless legs patienter på eget initiativ använde hasch eftersom det ansågs lindra symtomen.

Children's recall of words spoken in their first and second language : Effects of Signal-to-Noise Ratio and Reverberation Time

Speech perception runs smoothly and automatically when there is silence in the background, but when the speech signal is degraded by background noise or by reverberation, effortful cognitive processing is needed to compensate for the signal distortion. Previous research has typically investigated the effects of signal-to-noise ratio (SNR) and reverberation time in isolation, whilst few have looked at their interaction. In this study, we probed how reverberation time and SNR influence recall of words presented in participants' first- (L1) and second-language (L2). A total of 72 children (10 years old) participated in this study. The to-be-recalled wordlists were played back with two different reverberation times (0.3 and 1.2 s) crossed with two different SNRs (+3 dBA and +12 dBA). Children recalled fewer words when the spoken words were presented in L2 in comparison with recall of spoken words presented in L1. Words that were presented with a high SNR (+12 dBA) improved recall compared to a low SNR (+3 dBA). Reverberation time interacted with SNR to the effect that at +12 dB the shorter reverberation time improved recall, but at +3 dB it impaired recall. The effects of the physical sound variables (SNR and reverberation time) did not interact with language. © 2016 Hurtig, Keus van de Poll, Pekkola, Hygge, Ljung and Sörqvist.

Motion cue analysis for parkinsonian gait recognition

This paper presents a computer-vision based marker-free method for gait-impairment detection in Patients with Parkinson's disease (PWP). The system is based upon the idea that a normal human body attains equilibrium during the gait by aligning the body posture with Axis-of-Gravity (AOG) using feet as the base of support. In contrast, PWP appear to be falling forward as they are less-able to align their body with AOG due to rigid muscular tone. A normal gait exhibits periodic stride-cycles with stride-angle around 45o between the legs, whereas PWP walk with shortened stride-angle with high variability between the stride-cycles. In order to analyze Parkinsonian-gait (PG), subjects were videotaped with several gait-cycles. The subject's body was segmented using a color-segmentation method to form a silhouette. The silhouette was skeletonized for motion cues extraction. The motion cues analyzed were stride-cycles (based on the cyclic leg motion of skeleton) and posture lean (based on the angle between leaned torso of skeleton and AOG). Cosine similarity between an imaginary perfect gait pattern and the subject gait patterns produced 100% recognition rate of PG for 4 normal-controls and 3 PWP. Results suggested that the method is a promising tool to be used for PG assessment in home-environment.