A5063125456- Digital Mental Health Interventions
- Mental Health Research Topics
- Bipolar Disorder and Treatment
- Emotion and Mood Recognition
- Impact of Technology on Adolescents
- Context-Aware Activity Recognition Systems
- Human Mobility and Location-Based Analysis
- Mobile Health and mHealth Applications
- Melanoma and MAPK Pathways
- Mobile Crowdsensing and Crowdsourcing
- Atrial Fibrillation Management and Outcomes
- Cognitive Science and Mapping
- Anomaly Detection Techniques and Applications
- Evacuation and Crowd Dynamics
- Opportunistic and Delay-Tolerant Networks
- Diabetes Management and Research
- Computational Drug Discovery Methods
- ECG Monitoring and Analysis
- Human-Automation Interaction and Safety
- Statistical Methods in Clinical Trials
- CAR-T cell therapy research
- Personal Information Management and User Behavior
- Cardiac pacing and defibrillation studies
- Sentiment Analysis and Opinion Mining
- Cutaneous Melanoma Detection and Management
Technical University of Denmark
2020-2023
Center for Research and Telecommunication Experimentation for Networked Communities
2011-2016
University of Trento
2016
Centro Ricerche FIAT
2013
Xerox (France)
2013
Mobile computing is changing the landscape of clinical monitoring and self-monitoring. One major impacts will be in healthcare, where increase number sensing modalities providing more information on state overall wellbeing, behaviour health. There are numerous applications mobile that range from wellbeing applications, such as physical fitness, stress or burnout up to target mental disorders including bipolar disorder. Use provided by devices can track subjects also allow for experience...
The level of participation in social interactions has been shown to have an impact on various health outcomes, while it also reflects the overall wellbeing status. In sciences standard practice for measuring amount activity relies periodical self-reports that suffer from
Stress assessment is a complex issue and numerous studies have examined factors that influence stress in working environments. Research shown monitoring individuals' behaviour parameters during daily life can also help assess levels. In this study, we examine of work-related using features derived from sensors smartphones. particular, use information physical activity levels, location, social-interactions, social-activity, application usage days. Our study included 30 employees chosen two...
Type 2 diabetes (T2D) is a large disease burden worldwide and represents an increasing complex challenge for all societies. For the individual, T2D complex, multi-dimensional, long-term to manage, it challenging establish maintain good communication between patient healthcare professionals. This article presents DiaFocus, which mobile health sensing application ambulatory management of T2D. DiaFocus supports adaptive collection physiological, behavioral, contextual data in combination with...
This article presents the design, technical implementation, and feasibility evaluation of mCardia —a context-aware, mobile electrocardiogram (ECG) collection system for longitudinal arrhythmia screening under free-living conditions. Along with ECG, also records active passive contextual data, including patient-reported symptoms physical activity. data can provide a more accurate understanding what happens before, during, after an event, thereby providing additional information in diagnosis...
Mobile cognitive tests have been emerged to first, bring the assessments outside clinics and second, frequently measure individuals' performance in their free-living environment. Patients with Bipolar Disorder (BD) suffer from impairments poor sleep quality negatively affects performance. Wearables are capable of unobtrusively collecting multivariate data including activity features. In this study, we analyzed daily attention, working memory, executive functions patients BD healthy controls...
A number of clinical studies investigated associations between mood states and environmental factors. However, they mostly rely on self-reporting methods to describe past activities which, due recall difficulties, may not be reliable. In this pilot study, we attempted measure the amount soc
Digital tools have been developed to assess human cognitive functioning. It is unknown what degree users' test performance correlated with their perceived usability and load induced by interaction a tool. Moreover, the similarity between user groups in terms of subjective has not explored adequately despite its potential importance designing digital assessment for people from diverse background. This paper presents study two smartwatch-based tests participants' attention working memory. NASA...
The emergence of genomically targeted cancer treatments has spurred the development methods that correlate genomic information with and outcomes. Because this is usually pulled from published literature, such are limited to summarizing only data generated throug
In this paper, we present the concept of grouping individuals and detecting their proximity by emitting/receiving inaudible tones using mobile phones. The inspiration stems from uniforms metaphor (of different colors) that groups subjects based on roles, occupations or teams. goal is to get an insight into social context interaction patterns.
The emergence of genomically targeted cancer treatments has spurred the development methods that correlate genomic information with and outcomes. Because this is usually pulled from published literature, such are limited to summarizing only data generated throug