19 research outputs found
Using endogenous saccades to characterize fatigue in multiple sclerosis
Purpose
Multiple Sclerosis (MS) is likely to cause dysfunction of neural circuits between brain regions increasing brain working load or a subjective overestimation of such working load leading to fatigue symptoms. The aim of this study was to investigate if saccades can reveal the effect of fatigue in patients with MS.
Methods
Patients diagnosed with MS (EDSS<=3) and age matched controls were recruited. Eye movements were monitored using an infrared eyetracker. Each participant performed 40 trials in an endogenous generated saccade paradigm (valid and invalid trials). The fatigue severity scale (FSS) was used to assess the severity of fatigue. FSS scores were used to define two subgroups, the MS fatigue group (score above normal range) and the MS non-fatigue. Differences between groups were tested using linear mixed models.
Results
Thirty-one MS patients and equal number of controls participated in this study. FSS scores were above the normal range in 11 patients. Differences in saccade latency were found according to group (p<0.001) and trial validity (p=0.023). Differences were 16.9 ms, between MS fatigue and MS non-fatigue, 15.5 ms between MS fatigue and control. The mean difference between valid and invalid trials was 7.5 ms. Differences in saccade peak velocity were found according to group (p<0.001), the difference between MS fatigue and control was 22.3°/s and between MS fatigue and non-fatigue was 12.3°/s. Group was a statistically significant predictor for amplitude (p<0.001). FSS scores were correlated with peak velocity (p=0.028) and amplitude (p=0.019).
Conclusion
Consistent with the initial hypothesis, our study revealed altered saccade latency, peak velocity and amplitude in patients with fatigue symptoms. Eye movement testing can complement the standard inventories when investigating fatigue because they do not share similar limitations. Our findings contribute to the understanding of functional changes induced by MS and might be useful for clinical trials and treatment decisions.We would like to acknowledge that part of this work has been presented at 3rd International Porto Congress of Multiple Sclerosis, February 27â28, 2015, Porto, Portugal and ECEM 2015 | XVIII. European Conference on Eye Movements, August 16â21, 2015, Viena, Austria. We thank the Multiple Sclerosis Association âTodos com a Esclerose Multiple (TEM)â and the Clinical and Academic Centre (CAA-Hospital de Braga) for their support ïŹnancial support and for providing facilities for data collection, respectively. We also acknowledge: i) Carla SoïŹa for recruiting all the MS participants and most of the controls, ii) Two anonymous reviewers for their opinion about an early version of this manuscript and iii) Liz Pearce for proofreading the manuscript. Vision Rehabilitation Lab. receives founding from Shamir Portugal and from grant PTDC/DTP-EPI/0412/2012, Fundação para a CiĂȘncia e a Tecnologia, co-ïŹnanciado pelo FEDER atravĂ©s do COMPETE.info:eu-repo/semantics/publishedVersio
Virtually abelian K\"ahler and projective groups
We characterise the virtually abelian groups which are fundamental groups of
compact K\"ahler manifolds and of smooth projective varieties. We show that a
virtually abelian group is K\"ahler if and only if it is projective. In
particular, this allows to describe the K\"ahler condition for such groups in
terms of integral symplectic representations
SmartAQnet 2020: A New Open Urban Air Quality Dataset from Heterogeneous PM Sensors
The increasing attention paid to urban air quality modeling places higher requirements on urban air quality datasets. This article introduces a new urban air quality datasetâthe SmartAQnet2020 datasetâwhich has a large span and high resolution in both time and space dimensions. The dataset contains 248,572,003 observations recorded by over 180 individual measurement devices, including ceilometers, Radio Acoustic Sounding System (RASS), mid- and low-cost stationary measuring equipment equipped with meteorological sensors and particle counters, and low-weight portable measuring equipment mounted on different platforms such as trolley, bike, and UAV
UbiquitÀre Systeme (Seminar) und Mobile Computing (Proseminar) SS 2019 : Mobile und Verteilte Systeme Ubiquitous Computing. Teil XIX
Die Seminarreihe Mobile Computing und UbiquitÀre Systeme existiert seit dem Wintersemester 2013/2014. Seit diesem Semester findet das Proseminar Mobile Computing am Lehrstuhl fur Pervasive Computing System statt. Die Arbeiten des Proseminars werden seit dem mit den Arbeiten des zweiten Seminars des Lehrstuhls, dem Seminar UbiquitÀre Systeme, zusammengefasst und gemeinsam veröffentlicht.
Die Seminarreihe UbiquitĂ€re Systeme hat eine lange Tradition in der Forschungsgruppe TECO. Im Wintersemester 2010/2011 wurde die Gruppe Teil des Lehrstuhls fĂŒr Pervasive Computing Systems. Seit dem findet das Seminar UbiquitĂ€re Systeme in jedem Semester statt. Ebenso wird das Proseminar Mobile Computing seit dem Wintersemester 2013/2014 in jedem Semester durchgefĂŒhrt. Seit dem Wintersemester 2003/2004 werden die Seminararbeiten als KIT-Berichte veröffentlicht. Ziel der gemeinsamen Seminarreihe ist die Aufarbeitung und Diskussion aktueller Forschungsfragen in den Bereichen Mobile und Ubiquitous Computing.
Dieser Seminarband fasst die Arbeiten der Seminare des Sommersemesters 2019 zusammen. Wir danken den Studierenden fĂŒr ihren besonderen Einsatz, sowohl wĂ€hrend des Seminars als auch bei der Fertigstellung dieses Bandes
SmartAQnet â neuer smarter Weg zur rĂ€umlichen Erfassung von Feinstaub
Mit dem Forschungsprojekt SmartAQnet wird ein smarter Weg zur rÀumlichen
Bestimmung von Feinstaub untersucht und am Modellstandort Augsburg erprobt. Forschungsansatz ist
die Erfassung und ZusammenfĂŒhrung unterschiedlicher QualitĂ€ten von Feinstaubmesswerten mit Fernerkundungsdaten.
Feinstaubmesswerte können hierbei von Jedermann (z. B. mit Ultra-Low-Cost-Sensoren)
bis hin zu offiziellen Messnetzen (mit hochprÀziser Messtechnik) in die Datenarchitektur eingespeist
werden. Eine neuartige Internet-of-Things-Analyseplattform soll Daten zur Anwendung sowohl
fĂŒr Planer als auch fĂŒr den BĂŒrger bieten, welche der nachhaltigen Gesundheitsvorsorge dienen können
(z. B. App fĂŒr eine luftqualitĂ€tsbezogene Navigation)