| The virtual sleep lab—a novel method for accurate four-class sleep staging using heart-rate variability from low-cost wearables P Topalidis, DPJ Heib, S Baron, ES Eigl, A Hinterberger, M Schabus Sensors 23 (5), 2390, 2023 | 11 | 2023 |
| From Pulses to Sleep Stages: Towards Optimized Sleep Classification Using Heart-Rate Variability PI Topalidis, S Baron, DPJ Heib, ES Eigl, A Hinterberger, M Schabus Sensors 23 (22), 9077, 2023 | 10 | 2023 |
| Generalisability of sleep stage classification based on interbeat intervals: validating three machine learning approaches on self-recorded test data S Kranzinger, S Baron, C Kranzinger, D Heib, C Borgelt Behaviormetrika 51 (1), 341-358, 2024 | 5 | 2024 |
| Continuous momentary assessment of sleep using reliable HRV-based wearables: A possible alternative to DREEM? M Schabus, S Baron, D Heib, A Hinterberger, P Topalidis The 27th Conference of the European Sleep Research Society (ESRS) 2024, 2024 | | 2024 |
| Improving Accessibility and Minimizing Errors: Reliable Sleep Stage Classification Using Wearable Sensors M Schabus, S Baron, P Topalidis, A Hinterberger, ES Eigl, DPJ Heib 38th Annual Meeting of the Associated Professional Sleep Societies (APSS …, 2024 | | 2024 |
| From pulses to sleep stages: using heart-rate variability from low-cost wearable devices for accurate four-class sleep stage classification P Topalidis, DPJ Heib, S Baron, ES Eigl, A Hinterberger, M Schabus World Sleep 2023, 2023 | | 2023 |
| Accurate 4-class sleep scoring based on interbeat intervals using low-cost wearables DPJ Heib, S Baron, M Schabus Journal of Sleep Research 31 (S1), 78, 2022 | | 2022 |
| Semantic Integration Patterns for AI C Borgelt, S Baron, M Bahe | | |
