Schienle

Dr.-Ing. Markus Schinle

  • Forschungszentrum Informatik (FZI)
    Haid- und Neu-Str. 10-14
    76131 Karlsruhe 

Research

Data-driven development of digital health applications

Engineering is playing an increasingly important role in the development of future precision medicine, which aims to enable personalized care and increase the efficiency of healthcare systems. Digital health applications are an essential part of this, as they form the basis for data-driven development. In our research, we are investigating which methods and tools are necessary to support the development of such applications and are developing a framework based on a combination of data-driven and knowledge-based development. With this approach, we aim to help shape the future of healthcare and improve the quality of life of patients worldwide. How necessary methods and tools have to be designed is worked out in our research in exchange with different experts. As a future engineer, you have the opportunity to help shape these future technologies and make a valuable contribution to society.

Digital platforms for the treatment of risk factors in neurodegenerative diseases

As part of our research projects, a digital platform is being developed to provide low-threshold access to individualized treatment strategies for neurodegenerative diseases in an outpatient setting. Using digital methods and mobile sensor technologies to guide risk factor-based intervention strategies, this treatment process will be integrated into a mobile support solution and accompanied by various tools. The goal is to develop applications that will be integrated into a platform for the treatment of specific risk factors for dementia. Here you can be responsible for the design and development of different aspects of the platform.

Translation and scaling of digital health apps

Scaling digital health applications requires a multi-faceted approach that includes stakeholder collaboration, regulatory compliance, integration with existing healthcare systems, customization and personalization, and continuous evaluation and improvement. By implementing these strategies, business models for digital health applications can be successfully established, thereby scaling them to have a significant impact on improving healthcare outcomes. Make it your mission to figure out how this can be done in the context of specific use cases in the German healthcare system!

Publications


2023
Journal Articles
Dimensional emotion recognition from camera-based PRV features
Zhou, K.; Schinle, M.; Stork, W.
2023. Methods, 218, 224–232. doi:10.1016/j.ymeth.2023.08.014
Conference Papers
Towards EEG-based objective ADHD diagnosis support using convolutional neural networks
Stock, S.; Hausberg, J.; Armengol-Urpi, A.; Kaufmann, T.; Schinle, M.; Gerdes, M.; Stork, W.
2023. 2023 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), Eindhoven, Netherlands, 29-31 August 2023, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CIBCB56990.2023.10264876
Model-Driven Dementia Prevention and Intervention Platform
Schinle, M.; Dietrich, M.; Stock, S.; Gerdes, M.; Stork, W.
2023. Caring is Sharing. Ed.: M. Hägglund, 937–941, IOS Press. doi:10.3233/SHTI230313
End-to-End Deep Learning for Stress Recognition Using Remote Photoplethysmography
Zhou, K.; Schinle, M.; Weimar, S.; Gerdes, M.; Stock, S.; Stork, W.
2023. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 1435–1442, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/BIBM55620.2022.9995577
Conference Proceedings
AI, Robotics, and Clinical Research for Innovative Dementia Interventions: A Japanese-German Collaboration
Otake, M.; Kilimann, I.; Schinle, M.; Kumagai, K.; Weimar, S.
2023. (S. Stock, Ed.), KITopen
Presentations
Navigating challenges in digital dementia intervention: A Look at BCI potential
Stock, S.; Schinle, M.
2023, June 21. 2nd International Forum on Neural Engineering & Brain Technologies (2023), Berlin, Germany, June 20–21, 2023
2022
PhD Theses
Methoden und Werkzeuge für eine datengetriebene Entwicklung digitaler Gesundheitsanwendungen. PhD dissertation
Schinle, M.
2022, September 8. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000150345
Journal Articles
Digital Health Apps in the Context of Dementia: Questionnaire Study to Assess the Likelihood of Use Among Physicians
Schinle, M.; Erler, C.; Kaliciak, M.; Milde, C.; Stock, S.; Gerdes, M.; Stork, W.
2022. JMIR Formative Research, 6 (6), Art.-Nr.: e35961. doi:10.2196/35961
2021
Journal Articles
Evaluation of Innovative SSVEP Stimulation Patterns for Neuro-Ophthalmology
Stock, S.; Gerdes, M.; Schinle, M.; Veloso de Oliveira, J.; Hauptmann, L.; Martini, L.; Stork, W.
2021. Investigative Ophthalmology & Visual Science, 62 (8), 2391–2391
Conference Papers
A Decision Process Model for De-Identification Methods on the Example of Psychometric Data
Schinle, M.; Erler, C.; Leenstra, S.; Stock, S.; Gerdes, M.; Stork, W.
2021. 2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICECCME52200.2021.9591139
MMAI - Mobile Moods AI; Electroencephalography Artifact Detection; Towards Objective Assessment of Mental States
Stock, S.; Mazura, F.; De La Torre, F. G.; Gerdes, M.; Schinle, M.; Stork, W.
2021. 2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), 01–06, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICECCME52200.2021.9590972
Data-driven development of digital health applications on the example of dementia screening
Schinle, M.; Erler, C.; Schneider, T.; Plewnia, J.; Stork, W.
2021. 2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA) : 2021 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2021, Virtual, 23 June 2021 - 25 June 2021, Art.-Nr.: 9478676, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/MeMeA52024.2021.9478676
Data Sovereignty in Data Donation Cycles - Requirements and Enabling Technologies for the Data-driven Development of Health Applications
Schinle, M.; Erler, C.; Stork, W.
2021. Proceedings of the 54th Hawaii International Conference on System Sciences, 3972–3981. doi:10.24251/HICSS.2021.482
2020
Conference Papers
Integration, Execution and Monitoring of Business Processes with Chaincode
Schinle, M.; Erler, C.; Andris, P. N.; Stork, W.
2020. 2nd Conference on Blockchain Research and Applications for Innovative Networks and Services, BRAINS 2020, Paris, France, 28 - 30 September 2020, 63–70. doi:10.1109/BRAINS49436.2020.9223283
Decentralized patient-centric data management for sharing IoT data streams
Lucking, M.; Manke, R.; Schinle, M.; Kohout, L.; Nickel, S.; Stork, W.
2020. 2020 International Conference on Omni-layer Intelligent Systems (COINS), August 31 - September 2, 2020, Barcelona, Spain, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/COINS49042.2020.9191653
How to disclose selective Information from permissioned DLT-based Traceability Systems?
Schinle, M.; Erler, C.; Vetter, A. R.; Stork, W.
2020. 2020 IEEE International Conference on Decentralized Applications and Infrastructures (DAPPS), Oxford, United Kingdom, 3-6 Aug. 2020, 153–158, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/DAPPS49028.2020.00020
Distributed Ledger Technology for the systematic Investigation and Reduction of Information Asymmetry in Collaborative Networks
Schinle, M.; Erler, C.; Stork, W.
2020. 53rd Hawaii International Conference on System Sciences (HICSS 2020), Grand Wailea, HI, January 7-10, 2020
2018
Conference Papers
Personalization of monitoring system parameters to support ambulatory care for dementia patients
Schinle, M.; Papantonis, I.; Stork, W.
2018. 2018 IEEE Sensors Applications Symposium (SAS), Seoul, March 12-14, 2018, 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SAS.2018.8336724
An Approach to digitalize Psychological Tests to support Diagnosis of Alzheimer’s Disease in Ambulatory Care
Schinle, M.; Wyszka, D.; Schwärzler, F.; Volz, K.; Ruby, M.-A.; Sejdinovic, E.; Stork, W.
2018. 13th IEEE International Symposium on Medical Measurements and Applications, MeMeA 2018; Universita La SapienzaRome; Italy; 11 June 2018 through 13 June 2018, Art. Nr.: 8438761, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/MeMeA.2018.8438761
2017
Conference Papers
A Modular Approach for Smart Home System Architectures Based on Android Applications
Schinle, M.; Schneider, J.; Blocher, T.; Zimmermann, J.; Chiriac, S.; Stork, W.
2017. MobileCloud 2017 : 5th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering 2017, San Francisco, California, USA, 6th - 8th April 2017, 153–156, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/MobileCloud.2017.20
An online PPGI approach for camera based heart rate monitoring using beat-to-beat detection
Blocher, T.; Schneider, J.; Schinle, M.; Stork, W.
2017. 12th IEEE Sensors Applications Symposium, SAS 2017; Rowan University201 Mullica Hill RoadGlassboro; United States; 13 March 2017 through 15 March 2017, Art. Nr.: 7894052, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SAS.2017.7894052