Lübomira Spassova
German Research Centre for Artificial Intelligence
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Lübomira Spassova.
International Journal of Medical Informatics | 2015
Andreas Arens-Volland; Lübomira Spassova; Torsten Bohn
PURPOSE The aim of this review was to analyze computer-based tools for dietary management (including web-based and mobile devices) from both scientific and applied perspectives, presenting advantages and disadvantages as well as the state of validation. METHODS For this cross-sectional analysis, scientific results from 41 articles retrieved via a medline search as well as 29 applications from online markets were identified and analyzed. RESULTS Results show that many approaches computerize well-established existing nutritional concepts for dietary assessment, e.g., food frequency questionnaires (FFQ) or dietary recalls (DR). Both food records and barcode scanning are less prominent in research but are frequently offered by commercial applications. Integration with a personal health record (PHR) or a health care workflow is suggested in the literature but is rarely found in mobile applications. CONCLUSIONS It is expected that employing food records for dietary assessment in research settings will be increasingly used when simpler interfaces, e.g., barcode scanning techniques, and comprehensive food databases are applied, which can also support user adherence to dietary interventions and follow-up phases of nutritional studies.
BMC Neurology | 2016
Lübomira Spassova; Debora Vittore; Dirk W. Droste; Norbert Rösch
BackgroundOne of the most effective current approaches to preventing stroke events is the reduction of lifestyle risk factors, such as unhealthy diet, physical inactivity and smoking. In this study, we assessed the efficacy and usability of the phone-based Computer-aided Prevention System (CAPSYS) in supporting the reduction of lifestyle-related risk factors.MethodsA single-centre two-arm clinical trial was performed between January 2013 and February 2014, based on individual follow-up periods of six months with 94 patients at high risk of stroke, randomly assigned to an intervention group (IC: 48; advised to use the CAPSYS system) or a standard care group (SC: 46). Study parameters, such as blood pressure, blood values (HDL, LDL, HbA1c, glycaemia and triglycerides), weight, height, physical activity as well as nutrition and smoking habits were captured through questionnaires and medical records at baseline and post-intervention and analysed to detect significant changes. The usability of the intervention was assessed based on the standardised System Usability Scale (SUS) complemented by a more system-specific user satisfaction and feedback questionnaire.ResultsThe statistical evaluation of primary measures revealed significant decreases of systolic blood pressure (mean of the differences = –9 mmHg; p = 0.03; 95 % CI = [–17.29, –0.71]), LDL (pseudo-median of the differences = –7.9 mg/dl; p = 0.04; 95 % CI = [–18.5, –0.5]) and triglyceride values (pseudo-median of the differences = –12.5 mg/dl; p = 0.04; 95 % CI = [–26, –0.5]) in the intervention group, while no such changes could be observed in the control group. Furthermore, we detected a statistically significant increase in self-reported fruit and vegetable consumption (pseudo-median of the differences = 5.4 servings/week; p = 0.04; 95 % CI = [0.5, 10.5]) and a decrease in sweets consumption (pseudo-median of the differences = –2 servings/week; p = 0.04; 95 % CI = [–4, –0.00001]) in the intervention group. The usability assessment showed that the CAPSYS system was, in general, highly accepted by the users (average SUS score: 80.1).ConclusionsThe study provided encouraging results indicating that a computerised phone-based lifestyle coaching system, such as CAPSYS, can support the usual treatment in reducing cerebro-cardiovascular risk factors and that such an approach is well applicable in practice.Trial registrationClinicalTrials.gov Identifier: NCT02444715
international congress on cardiovascular technologies | 2014
Lübomira Spassova; Norbert Rösch; Debora Vittore; Dirk W. Droste
The CAPSYS system enables automated lifestyle coaching for CVD patients through a phone-based interface with the aim of establishing a healthy behavior by reducing specific risk factors. This paper presents the procedure of a randomized controlled trial currently performed to evaluate the CAPSYS prevention approach in terms of efficacy and usability.
intelligent user interfaces | 2013
Tobias Leidinger; Lübomira Spassova; Andreas Arens; Norbert Rösch
The availability of food ingredient information in digital form is a major factor in modern information systems related to diet management and health issues. Although ingredient information is printed on food product labels, corresponding digital data is rarely available for the public. In this demo, we present the Mobile Food Information Scanner (MoFIS), a mobile user interface designed to enable users to semi-automatically extract ingredient lists from food product packaging.
intelligent user interfaces | 2011
Gerrit Kahl; Lübomira Spassova; Johannes Schöning; Sven Gehring; Antonio Krüger
Intelligent Environments (Workshops) | 2009
Alexander Kröner; Patrick Gebhard; Lübomira Spassova; Gerrit Kahl; Michael Schmitz
IE | 2010
Alexander Kröner; Gerrit Kahl; Lübomira Spassova; Carsten Magerkurth; Thomas Feld; Dirk Mayer; Ali Dada
Studies in health technology and informatics | 2013
Lübomira Spassova; Debora Vittore; Dirk W. Droste; Norbert Rösch
IE | 2011
Ralf Jung; Lübomira Spassova; Gerrit Kahl
Journal of the Neurological Sciences | 2013
Dirk W. Droste; Debora Vittore; Lübomira Spassova; Norbert Rösch