Sensorbasierte Bewegungs- und Schlafanalyse beim Parkinson-Syndrom (SFB 1483 EmpkinS D04)

Third Party Funds Group - Sub project


Acronym: SFB 1483 EmpkinS D04

Start date : 01.07.2021

End date : 30.06.2025

Website: https://www.empkins.de/

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Types of publications

Journal article
Book chapter / Article in edited volumes
Authored book
Translation
Thesis
Edited Volume
Conference contribution
Other publication type
Unpublished / Preprint

Publication year

From
To

Abstract

Journal

Incorporating respiratory signals for machine learning-based multimodal sleep stage classification: a large-scale benchmark study with actigraphy and heart rate variability (2025) Krauß D, Richer R, Küderle A, Jukic J, German A, Leutheuser H, Regensburger M, et al. Journal article A Review and Tutorial on Machine Learning- Enabled Radar-Based Biomedical Monitoring (2024) Krauß D, Engel L, Ott T, Bräunig J, Richer R, Gambietz M, Albrecht N, et al. Journal article Contactless Heart Rate Estimation using a 61 GHz Continuous-Wave Radar (2023) Krauß D, Richer R, Albrecht NC, Küderle A, Abel L, Leutheuser H, Jukic J, et al. Conference contribution, Abstract of a poster Benchmarking of Sleep/Wake Detection Algorithms on a Large Cohort using Actigraphy, HRV, and Respiration Information (2022) Krauß D, Richer R, Küderle A, Beilner J, Rohleder N, Eskofier B Conference contribution, Abstract of a poster Towards Integration of Sleep Quality in Sports Monitoring – Improving Wearable Sleep Detection Algorithms through Respiratory Information (2022) Krauß D, Richer R, Küderle A, Rohleder N, Eskofier B Conference contribution, Abstract of lecture Detection of unsupervised standardized gait tests from real-world inertial sensor data in Parkinson’s disease (2021) Ullrich M, Mücke A, Küderle A, Roth N, Gladow T, Gaßner H, Marxreiter F, et al. Journal article, Original article