Browsing by Author "Bardram, Jakob E"
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- ItemApplying mobile and pervasive computer technology to enhance coordination of work in a surgical ward.(2007-10-03) Hansen, Thomas Riisgaard; Bardram, Jakob ECollaboration coordination and communication are crucial in maintaining an efficient and smooth flow of work in an operating ward This coordination however often comes at a high price in terms of unsuccessfully trying to get hold of people disturbing telephone calls looking for people and unnecessary stress To accommodate this situation and to increase the quality of work in operating wards we have designed a set of pervasive computer systems which supports what we call context mediated communication and awareness These systems use large interactive displays video streaming from key locations tracking systems and mobile devices to support social awareness and different types of communication modalities relevant to the current context In this paper we report qualitative data from a one year deployment of the system in a local hospital Overall this study shows that 75 of the participants strongly agreed that these systems had made their work easier
- ItemCorrelations Between Objective Behavioral Features Collected From Mobile and Wearable Devices and Depressive Mood Symptoms in Patients With Affective Disorders: Systematic Review.(0000-00-00) Rohani, Darius A; Faurholt-Jepsen, Maria; Kessing, Lars Vedel; Bardram, Jakob EBACKGROUND Several studies have recently reported on the correlation between objective behavioral features collected via mobile and wearable devices and depressive mood symptoms in patients with affective disorders unipolar and bipolar disorders However individual studies have reported on different and sometimes contradicting results and no quantitative systematic review of the correlation between objective behavioral features and depressive mood symptoms has been published OBJECTIVE The objectives of this systematic review were to 1 provide an overview of the correlations between objective behavioral features and depressive mood symptoms reported in the literature and 2 investigate the strength and statistical significance of these correlations across studies The answers to these questions could potentially help identify which objective features have shown most promising results across studies METHODS We conducted a systematic review of the scientific literature reported according to the preferred reporting items for systematic reviews and meta analyses guidelines IEEE Xplore ACM Digital Library Web of Sciences PsychINFO PubMed DBLP computer science bibliography HTA DARE Scopus and Science Direct were searched and supplemented by hand examination of reference lists The search ended on April 27 2017 and was limited to studies published between 2007 and 2017 RESULTS A total of 46 studies were eligible for the review These studies identified and investigated 85 unique objective behavioral features covering 17 various sensor data inputs These features were divided into 7 categories Several features were found to have statistically significant and consistent correlation directionality with mood assessment eg the amount of home stay sleep duration and vigorous activity while others showed directionality discrepancies across the studies eg amount of text messages short message service sent time spent between locations and frequency of mobile phone screen activity CONCLUSIONS Several studies showed consistent and statistically significant correlations between objective behavioral features collected via mobile and wearable devices and depressive mood symptoms Hence continuous and everyday monitoring of behavioral aspects in affective disorders could be a promising supplementary objective measure for estimating depressive mood symptoms However the evidence is limited by methodological issues in individual studies and by a lack of standardization of 1 the collected objective features 2 the mood assessment methodology and 3 the statistical methods applied Therefore consistency in data collection and analysis in future studies is needed making replication studies as well as meta analyses possible
- ItemSmartphone data as objective measures of bipolar disorder symptoms.(2014-05-05) Faurholt-Jepsen, Maria; Frost, Mads; Vinberg, Maj; Christensen, Ellen Margrethe; Bardram, Jakob E; Kessing, Lars VedelThe daily electronic self monitoring Smartphone software MONARCA was used by 17 patients with bipolar disorder for 3 consecutive months Patients were rated fortnightly using Hamilton Depression rating Scale 17 items HDRS 17 and Young Mania rating Scale YMRS 102 ratings with blinding for Smartphone data Objective Smartphone measures such as physical and social activity correlated with clinically rated depressive symptoms Self monitored depressive symptoms correlated significantly with HDRS 17 items score