| Electrooculogram-based virtual reality game control using blink detection and gaze calibration D Kumar, A Sharma 2016 International Conference on Advances in Computing, Communications and …, 2016 | 53 | 2016 |
| Mobile and wearable sensing frameworks for mHealth studies and applications: A systematic review D Kumar, S Jeuris, JE Bardram, N Dragoni ACM Transactions on Computing for Healthcare 2 (1), 1-28, 2020 | 46 | 2020 |
| Deepaware: A hybrid deep learning and context-aware heuristics-based model for atrial fibrillation detection D Kumar, A Peimankar, K Sharma, H Domínguez, S Puthusserypady, ... Computer Methods and Programs in Biomedicine 221, 106899, 2022 | 23 | 2022 |
| An investigation of the contextual distribution of false positives in a deep learning-based atrial fibrillation detection algorithm D Kumar, S Puthusserypady, H Dominguez, K Sharma, JE Bardram Expert Systems with Applications 211, 118540, 2023 | 15 | 2023 |
| mCardia: A Context-Aware ECG Collection System for Ambulatory Arrhythmia Screening D Kumar, R Maharjan, A Maxhuni, H Dominguez, A Frølich, JE Bardram ACM Transactions on Computing for Healthcare 3 (2), 2022 | 15 | 2022 |
| Usability of a mood assessment smartphone prototype based on humor appreciation P Hafiz, R Maharjan, D Kumar Proceedings of the 20th International Conference on Human-Computer …, 2018 | 7 | 2018 |
| CACHET-CADB: A contextualized ambulatory electrocardiography arrhythmia dataset D Kumar, S Puthusserypady, H Dominguez, K Sharma, JE Bardram Frontiers in Cardiovascular Medicine 9, 893090, 2022 | 6 | 2022 |
| Designing and Evaluating Mobile Health Technology for Ambulatory Monitoring and Diagnosis of Heart Arrhythmias D Kumar DTU Health Technology, 2021 | 3 | 2021 |
| Calmify: Measuring the Effectiveness of Personalized Meditation Techniques Using Mobile Technologies D Kumar, E Di Lascio, M Ahmad, M Yliniemi Proceedings of the 2018 ACM International Joint Conference and 2018 …, 2018 | 3 | 2018 |
| Atrial fibrillation detection from ambulatory ECG with accelerometry contextualisation: A semi-supervised learning approach AE Voinas, D Kumar, J Smeddinck, A Stochholm, S Puthusserypady Authorea Preprints, 2023 | 2 | 2023 |
| Validity of Four Consumer‐Grade Optical Heart Rate Sensors for Assessing Volume and Intensity Distribution of Physical Activity M Neudorfer, D Kumar, JD Smeddinck, ST Kulnik, J Niebauer, G Treff, ... Scandinavian Journal of Medicine & Science in Sports 34 (11), e14756, 2024 | 1 | 2024 |
| Multi-Stakeholder design for Complex digital health systems: development of a modular open research platform (MORE) PVS Pakianathan, D Wurhofer, D Kumar, J Niebauer, J Smeddinck dHealth 2023, 204-209, 2023 | 1 | 2023 |
| The Last JITAI? The Unreasonable Effectiveness of Large Language Models in Issuing Just-in-Time Adaptive Interventions: Fostering Physical Activity in a Prospective Cardiac … D Haag, D Kumar, S Gruber, M Sareban, G Treff, J Niebauer, C Bull, ... arXiv preprint arXiv:2402.08658, 2024 | | 2024 |
| Your Health, Your Data: Combining Interdisciplinary Views, Concepts, and Practices to Empower Patients in Their Engagement With Personal Health Data M Flaucher, A Zakreuskaya, K Jaeger, R Richer, JD Smeddinck, D Kumar, ... Mensch und Computer 2023-Workshopband, 10.18420/muc2023-mci-ws14-117, 2023 | | 2023 |
Jakob E. BardramProfessor in computer science, Technical University of Denmarkכתובת אימייל מאומתת בדומיין dtu.dk