Dr.-Ing. Markus Schinle

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

Studentische Arbeiten
Titel Datum
ab 03 / 2023

Publikationen


2023
Conference Papers
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
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