Alexander Breuss
Papers
5
Total Citations
19
H-Index
3
About
Alexander Breuss is a pioneering researcher at the intersection of sleep medicine and robotics, specializing in closed-loop interventions for sleep-disordered breathing. His work centers on developing intelligent, sensor-driven systems to automatically detect and treat positional obstructive sleep apnea (POSA), a condition where sleep apnea is triggered by supine sleeping positions. Breuss’s major contributions include the design and validation of robotic beds that use real-time pressure and optical tactile sensors to classify sleep positions with high accuracy, enabling automated body repositioning without patient disturbance. His 2023 paper on sleep position classification using a compact pressure textile sensor and convolutional neural networks has garnered 8 citations, demonstrating its foundational impact. Notably, his 2025 randomized cross-over pilot trial on robotic beds for POSA treatment (3 citations) provides early clinical evidence that these systems can reduce apnea severity and sleep fragmentation. Breuss also explored the broader potential of robotic beds to enhance sleep quality through closed-loop autotuning and vestibular stimulation, as seen in his 2023 work. His innovative integration of unobtrusive sensing, machine learning, and actuated bed technology positions him as a key figure in advancing non-pharmacological, personalized sleep interventions.
Research Focus
Key Achievements
Top Papers
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- 3Enhancing Sleep Quality with Closed-Loop Autotuning of a Robotic Bed3 citations · 2023
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