Stephan Jonas
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View article: Usability of a Tablet-Based Cognitive Assessment Administered by Medical Assistants in General Practice: Implementation Study
Usability of a Tablet-Based Cognitive Assessment Administered by Medical Assistants in General Practice: Implementation Study Open
Background Digital short cognitive tests administered by medical assistants (MAs) in general practitioners’ (GPs) practices have great potential for the timely identification of patients with dementia, because they can lead to targeted spe…
View article: How do patients, medical assistants and physicians accept and experience tablet-based cognitive testing by medical assistants in general practice? - A qualitative study
How do patients, medical assistants and physicians accept and experience tablet-based cognitive testing by medical assistants in general practice? - A qualitative study Open
Background Approximately 1.8 million people with dementia live in Germany and the number is expected to increase in the coming years. Between 360,000 and 440,000 new cases are diagnosed each year. General practitioners (GPs) are often the …
View article: XGBOrdinal: An XGBoost Extension for Ordinal Data
XGBOrdinal: An XGBoost Extension for Ordinal Data Open
We propose XGBOrdinal, an extension of XGBoost designed for ordinal classification problems commonly found in fields like medicine, where outcomes are often represented as scores, scales, stages, or grades. The proposed approach builds on …
View article: Development of a Patient-Centered App for an University Hospital: An Usability Engineering Approach
Development of a Patient-Centered App for an University Hospital: An Usability Engineering Approach Open
This paper addresses the ongoing paradigm shift in the healthcare system towards patient empowerment, emphasizing the increasing role of patients in actively managing their care through digital applications. The focus lies on the developme…
View article: TrustNShare – Data Trust Model Balancing Privacy Risk, Reputation, and Incentives
TrustNShare – Data Trust Model Balancing Privacy Risk, Reputation, and Incentives Open
The TrustNShare project aims to facilitate health data exchange by creating a framework that balances privacy, reputation, and incentives. The approach allows for flexible privacy levels while mitigating the risks of data re-identification…
View article: Short physical performance battery: Pilot study of a human motion capture app (MobiSPPB)
Short physical performance battery: Pilot study of a human motion capture app (MobiSPPB) Open
Background A standardized fall risk assessment can guide targeted interventions. The widely used short physical performance battery (SPPB) for mobility assessment covers balance, gait speed, and lower limb strength, but is time-consuming a…
View article: Cross-device federated unsupervised learning for the detection of anomalies in single-lead electrocardiogram signals
Cross-device federated unsupervised learning for the detection of anomalies in single-lead electrocardiogram signals Open
Background: Federated unsupervised learning offers a promising approach to leveraging decentralized data stored on consumer devices, addressing concerns about privacy and lack of annotation. Single-lead electrocardiograms (ECGs) captured o…
View article: Medicine on the Edge: Comparative Performance Analysis of On-Device LLMs for Clinical Reasoning
Medicine on the Edge: Comparative Performance Analysis of On-Device LLMs for Clinical Reasoning Open
The deployment of Large Language Models (LLM) on mobile devices offers significant potential for medical applications, enhancing privacy, security, and cost-efficiency by eliminating reliance on cloud-based services and keeping sensitive h…
View article: Facial Landmark Analysis for Detecting Visual Impairment in Mobile LogMAR Test
Facial Landmark Analysis for Detecting Visual Impairment in Mobile LogMAR Test Open
Visual impairment is a widespread global health issue that affects millions of people across all ages and backgrounds. Timely intervention is essential for the effective management of eye diseases. Smartphones offer the possibility of cont…
View article: Ticagrelor vs Prasugrel for Acute Coronary Syndrome in Routine Care
Ticagrelor vs Prasugrel for Acute Coronary Syndrome in Routine Care Open
Importance In patients with acute coronary syndrome (ACS) undergoing invasive treatment, ticagrelor and prasugrel are guideline-recommended P2Y12 receptor inhibitors. The ISAR-REACT5 randomized clinical trial demonstrated superiority for p…
View article: Digital Technologies in Hereditary Coagulation Disorders: A Systematic Review
Digital Technologies in Hereditary Coagulation Disorders: A Systematic Review Open
Background This systematic review aims to comprehensively survey digital technologies used in the prevention, diagnosis, and treatment of hereditary blood coagulation disorders. Methods The systematic review was performed according to the …
View article: Disentangled representational learning for anomaly detection in single-lead electrocardiogram signals using variational autoencoder
Disentangled representational learning for anomaly detection in single-lead electrocardiogram signals using variational autoencoder Open
Wearable technology enables the unsupervised recording of electrocardiogram (ECG) signals. Analyzing these high-dimensional ECG data poses challenges regarding statistical approaches and explainability. This work investigates the feasibili…
View article: QRS detection in single-lead, telehealth electrocardiogram signals: Benchmarking open-source algorithms
QRS detection in single-lead, telehealth electrocardiogram signals: Benchmarking open-source algorithms Open
Background and objectives A key step in electrocardiogram (ECG) analysis is the detection of QRS complexes, particularly for arrhythmia detection. Telehealth ECGs present a new challenge for automated analysis as they are noisier than trad…
View article: The rationality behind irrationality: A game theoretical challenge to traditional navigation
The rationality behind irrationality: A game theoretical challenge to traditional navigation Open
Herein, we present a challenge to the game-theoretical optimization of travel toward the fastest route, which is currently prevailing in most navigation systems. To do so, we depict the game-theoretical limitations of this optimization met…
View article: KIJANI: Designing a Physical Activity Promoting Collaborative Augmented Reality Game
KIJANI: Designing a Physical Activity Promoting Collaborative Augmented Reality Game Open
Background: There is an increased need for physical activity among children and adolescents. KIJANI, a mobile augmented reality game, is designed to increase physical activity through gamified exercises. Objectives: The primary aim of this…
View article: KIJANI App to Promote Physical Activity in Children and Adolescents: Protocol for a Mixed Method Evaluation
KIJANI App to Promote Physical Activity in Children and Adolescents: Protocol for a Mixed Method Evaluation Open
Background The prevalence of physical inactivity among children and adolescents is alarmingly high despite the well-documented and comprehensive benefits of regular physical activity (PA). Therefore, PA promotion should start early in chil…
View article: PeakSwift: Mobile Detection of R-peaks in Single Lead Electrocardiograms
PeakSwift: Mobile Detection of R-peaks in Single Lead Electrocardiograms Open
The computational detection of R-peaks in an electrocardiogram (ECG) is particularly important for assessing vital signs in ambulatory settings. Algorithmic approaches are mainly open source and available for research purposes, primarily i…
View article: Evaluation of the gamified application KIJANI to promote physical activity in children and adolescents: A multimethod study
Evaluation of the gamified application KIJANI to promote physical activity in children and adolescents: A multimethod study Open
Objective Digital approaches have the potential to make activity promotion attractive and age-appropriate for children and adolescents. KIJANI is a mobile application aiming to increase physical activity (PA) in youth via gamification and …
View article: User-centered development of an mHealth app for cardiovascular prevention
User-centered development of an mHealth app for cardiovascular prevention Open
Background Mobile health (mHealth) apps can be used for cardiovascular disease (CVD) prevention. User-centered design, evidence-based content and user testing can be applied to ensure a high level of usability and adequate app access. Obje…
View article: The German version of the mHealth App Usability Questionnaire (GER-MAUQ): Translation and validation study in patients with cardiovascular disease
The German version of the mHealth App Usability Questionnaire (GER-MAUQ): Translation and validation study in patients with cardiovascular disease Open
Objective In Germany, only a few standardized evaluation tools for assessing the usability of mobile Health apps exist so far. This study aimed to translate and validate the English patient version for standalone apps of the mHealth App Us…
View article: Guideline-Based Cardiovascular Risk Assessment Delivered by an mHealth App: Development Study
Guideline-Based Cardiovascular Risk Assessment Delivered by an mHealth App: Development Study Open
Background Identifying high-risk individuals is crucial for preventing cardiovascular diseases (CVDs). Currently, risk assessment is mostly performed by physicians. Mobile health apps could help decouple the determination of risk from medi…
View article: KIJANI App to Promote Physical Activity in Children and Adolescents: Protocol for a Mixed Method Evaluation (Preprint)
KIJANI App to Promote Physical Activity in Children and Adolescents: Protocol for a Mixed Method Evaluation (Preprint) Open
BACKGROUND The prevalence of physical inactivity among children and adolescents is alarmingly high despite the well-documented and comprehensive benefits of regular physical activity (PA). Therefore, PA promotion should start early in chi…
View article: QRS detection in single-lead, telehealth electrocardiogram signals: benchmarking open-source algorithms
QRS detection in single-lead, telehealth electrocardiogram signals: benchmarking open-source algorithms Open
Background and Objectives A key step in electrocardiogram (ECG) analysis is the detection of QRS complexes, particularly for arrhythmia detection. Telehealth ECGs present a new challenge for automated analysis as they are noisier than trad…
View article: Evaluation of an Explainable Tree-Based AI Model for Thrombophilia Diagnosis and Thrombosis Risk Stratification
Evaluation of an Explainable Tree-Based AI Model for Thrombophilia Diagnosis and Thrombosis Risk Stratification Open
Background: Thrombophilia diagnosis can often be a convoluted process involving collection and analysis of clinical data, specialized laboratory testing, and high-level decision-making. This is inherently subjective due to differences in t…
View article: Federated Learning with Swift: An Extension of Flower and Performance Evaluation
Federated Learning with Swift: An Extension of Flower and Performance Evaluation Open
Federated learning (FL) enables the optimization of machine learning models on distributed clients without sharing local data. The integration of FL into a mobile environment is becoming more feasible due to increasing on-device processing…
View article: TrustNShare: Development of a Blockchain-Based Data Trust Model for Secure and Controlled Health Data Sharing Grounded on Empirical Research
TrustNShare: Development of a Blockchain-Based Data Trust Model for Secure and Controlled Health Data Sharing Grounded on Empirical Research Open
Ensuring data quality and protecting data are key requirements when working with health-related data. Re-identification risks of feature-rich data sets have led to the dissolution of the hard boundary between data protected by data protect…
View article: Towards Preventing Gaps in Health Care Systems through Smartphone Use: Analysis of ARKit for Accurate Measurement of Facial Distances in Different Angles
Towards Preventing Gaps in Health Care Systems through Smartphone Use: Analysis of ARKit for Accurate Measurement of Facial Distances in Different Angles Open
There is a growing consensus in the global health community that the use of communication technologies will be an essential factor in ensuring universal health coverage of the world’s population. New technologies can only be used profitabl…