A5078862658- Stroke Rehabilitation and Recovery
- Balance, Gait, and Falls Prevention
- Muscle activation and electromyography studies
- Cerebral Palsy and Movement Disorders
- Data Mining Algorithms and Applications
- Rough Sets and Fuzzy Logic
- Forensic Toxicology and Drug Analysis
- Imbalanced Data Classification Techniques
- Cannabis and Cannabinoid Research
- Biosimilars and Bioanalytical Methods
- Pharmaceutical studies and practices
- Context-Aware Activity Recognition Systems
- Health Literacy and Information Accessibility
- Advanced Sensor and Energy Harvesting Materials
- Pharmacogenetics and Drug Metabolism
- Mobile Health and mHealth Applications
- Psychedelics and Drug Studies
- Inertial Sensor and Navigation
- International Relations in Latin America
- Data Quality and Management
- Interactive and Immersive Displays
- Voice and Speech Disorders
- Pharmacovigilance and Adverse Drug Reactions
- Adrenal Hormones and Disorders
- Wireless Body Area Networks
Roche (Switzerland)
2021-2023
Friedrich-Alexander-Universität Erlangen-Nürnberg
2018-2022
Lindenhofspital
2021
Digital Health Cooperative Research Centre
2019
University of Passau
2014-2016
University Hospital of Bern
2013-2015
Medical University of Vienna
2015
University Hospital of Basel
2011-2014
University of Bern
2014
Bern University of Applied Sciences
2013
Mobile health (mHealth) defines the support and practice of care using mobile devices promises to improve current treatment situation patients with chronic diseases. Little is known about mHealth usage digital preferences rheumatic diseases.The aim study was explore usage, preferences, barriers, eHealth literacy reported by German diseases.Between December 2018 January 2019, (recruited consecutively) rheumatoid arthritis, psoriatic axial spondyloarthritis were asked complete a paper-based...
Activity of human cytochrome P450 enzymes (CYPs) shows high inter-and intra-individual variability, which is determined by genetic and non-genetic factors. Using a combination CYP-specific probe drugs, phenotyping cocktails allow simultaneous assessment the activity different CYP isoforms. The objective this study was to characterize metrics Basel cocktail in healthy male subjects with induced inhibited activity.In randomized crossover study, drugs for CYP1A2 (caffeine), CYP2B6 (efavirenz),...
Context. Naphyrone (naphthylpyrovalerone) is a cathinone derivative and recreational drug related to mephedrone. Case. We report 31-year-old man who ingested dose of naphyrone (100 mg), which produced acute sympathomimetic toxicity with restlessness, insomnia, anxiety, hallucinations lasting for 2 days. was detected in the patient's plasma by gas chromatography mass spectrometry at concentrations 0.03 0.02 mg/L, 40 60 h after intake, respectively. Discussion. Based on present case user...
We propose a co-simulation framework comprising biomechanical human body models and wearable inertial sensor to analyse gait events dynamically, depending on type, positioning, processing algorithms. A total of 960 sensors were virtually attached the lower extremities validated model shoe model. Walking hemiparetic patients was simulated using motion capture data (kinematic simulation). Accelerations angular velocities synthesised according models. comprehensive error analysis detected...
Abstract Smartphones and wearables are widely recognised as the foundation for novel Digital Health Technologies (DHTs) clinical assessment of Parkinson’s disease. Yet, only limited progress has been made towards their regulatory acceptability effective drug development tools. A key barrier in achieving this goal relates to influence a wide range sources variability (SoVs) introduced by measurement processes incorporating DHTs, on ability detect relevant changes PD. This paper introduces...
Abstract We present a fundamentally new approach to design and assess wearable motion systems based on biomechanical simulation sensor data synthesis. devise methodology of personal models virtually attach body parts, including positions frequently considered for devices. The enables us synthesise data, which is subsequently as input gait marker estimation algorithms. evaluated our in two case studies, running athletes hemiparetic patients. Our analysis shows that speed affects performance....
Summary Background: Monitoring natural behavior and activity routines of hemiparetic rehabilitation patients across the day can provide valuable progress information for therapists contribute to an optimized process. In particular, continuous patient monitoring could add type, frequency duration daily life hence complement standard clinical scores that are assessed particular tasks only. Machine learning methods have been applied infer from sensor data. However, supervised require...
Abstract We propose three novel digital biomarkers for the longitudinal performance monitoring and movement evaluation of hemiparetic patients, e.g. after stroke. devised convergence points (CP) bilateral walking analysis based on gait parameters, stride duration using regression- modelling to estimate similarity between body sides. The physical activity (PA) was evaluate energy expenditure all extremities during training free-living. functional range motion (fROM) is a biomarker quantify...
Background: Longitudinal movement parameter analysis of hemiparetic patients over several months could reveal potential recovery trends and help clinicians adapting therapy strategies to maximize outcome. Wearable sensors offer for day-long recordings in realistic rehabilitation settings including activities daily living, e.g., walking. The measurement walking-related parameters affected non-affected body sides are interest determine mobility investigate trends. Methods: By comparing both...
Background: Physical activity (PA) is essential in stroke rehabilitation of hemiparetic patients to avoid health risks, and moderate vigorous PA could promote patients' recovery. However, assessments are limited clinical environments. Little known about unguided free- living. Wearable sensors reveal during rehabilitation, day-long long-term measurements over several weeks might recovery trends affected less-affected body sides. Methods: We investigated an observation study outpatient a...
We propose a mistake-driven skill estimation approach for movement analysis in sports using wearable inertial measurement units (IMUs) and continuous regression models. As motion-quality oriented sport, we focus on Nordic Walking. Walking involves complex body part interactions, which when wrongly performed, increase injury risk reduce training effectiveness. present an to assess three mistakes related health are typical beginners. Based stride segmentation, features relevant the were...
We estimate the Extended Barthel Index (EBI) in patients after stroke using inertial sensor measurements acquired during daily activity, rather than specific assessments. The EBI is a standard clinical assessment showing patient independence handling everyday tasks. Our work aims at providing continuous ability for and therapists that could be used without expert supervision. extract nine activity primitives (AP), including sitting, standing, transition, etc. from data basic rules do not...
Adverse drug reactions (ADRs) are an important cause of hospital admissions. Insufficient data available about the frequency and characteristics ADR-related emergency readmissions in Switzerland. The aim this retrospective study was to characterise ADRs related short-term a large Swiss University Hospital assess their reporting frequency.Electronic records all patients discharged from Bern within 12-month period (1 January 31 December 2012) readmission 30 calendar days were reviewed. Case...
The stimulant methamphetamine (e.g., "crystal meth") is a commonly abused drug in many parts of the world and can cause significant health problems. present study aims to describe presentations with reported use at an urban emergency department (ED) Switzerland, investigate prevalence, patterns susceptible groups.Retrospective ED University Hospital Bern, Switzerland. Cases from June 2012 July 2019 were retrieved electronic patient database using full-text terms categorised into three groups...
In this work, we investigated whether activity routines of stroke rehabilitation patients can be discovered from body-worn motion sensor data and without annotation using topic modeling. Information about the performed by during daily life could add valuable
We propose a motion sensor data synthesis approach to investigate the performance effect of placement and orientation variation on health marker estimation. Using OpenSim, we simulate walking patients after stroke synthesise inertial data. analyse 384 positions with 192 sensors simulated at each leg's thigh. To demonstrate how synthesised could be used functional ability estimation, estimated scores from Lower-Extremity Fugl-Meyer-Assessment (LE-FMA) using regression methods. evaluated our...
Multiprocess Additive Manufacturing (AM) offers system designers new, exciting computational tools to rapidly realise smart wearable sensing devices in two-dimensional (2D) and 3D shapes. We guide readers through the novel development fabrication process based on a digital co-design framework highlight AM techniques, functional materials, assembly procedures for designing wearables as flexible stretchable on-skin patches, e-textiles, accessories everyday use.
We investigate an approach to analyse and represent the functional range of motion (fROM) in patients after stroke during long-term rehabilitation a day-care centre. Movement data were recorded free activities living (ADL) one-to-one (OTO) therapies using wearable inertial sensors. Using gradient descent sensor fusion algorithm, we estimated orientation upper body extremities described extremity positions as frequency statistics spatial posture cubics. visualised fROM compared sensor-based...
In this paper, we introduce the increasing belief criterion in association rule mining. The uses a recursive application of Bayes' theorem to compute rule's belief. Extracted rules are required have their increase with last observation. We extend taxonomy mining algorithms new branch for Bayesian mining~(BRM), which as selection criterion. contrast, well-established frequent mining~(FRM) relies on minimum-support concept extract rules. derive properties criterion, such boundary,...
<sec> <title>BACKGROUND</title> Mobile health (mHealth) defines the support and practice of care using mobile devices promises to improve current treatment situation patients with chronic diseases. Little is known about mHealth usage digital preferences rheumatic </sec> <title>OBJECTIVE</title> The aim study was explore usage, preferences, barriers, eHealth literacy reported by German <title>METHODS</title> Between December 2018 January 2019, (recruited consecutively) rheumatoid arthritis,...