Welcome to YODA – Open Digital Archive for CSEM
The YODA archive gives access to CSEM's publications, such as its annual reports and brochures. For technical papers such as scientific publications, bibliographic information is provided, along with the full paper where this is possible.
This comprehensive database is part of CSEM's Open Access Publishing policy. For further information refer to the YODA support guide or contact repository@csem.ch.
Recent Submissions
Item CSEMnext: Frühling, Pollen und Allergien - Prävention dank Technologie(2024-03-18)Diabetes, coeliac disease, asthma and seasonal allergies have reached proportions that make it urgent to find cures. We will show how technology can be used to identify disease mechanisms as well as risk and protective factors in order to curb the epidemic. Presentation by Silvia Demuru (CSEM) and Renato Mutton (FEMTOprint) - Diabetes, Zöliakie, Asthma und saisonale Allergien haben Ausmasse erreicht, die es notwendig machen, dringend Heilmittel zu finden. Wir zeigen auf, wie mittels Technologie Krankheitsmechanismen sowie Risiko- und Schutzfaktoren ermittelt werden können, um der Epidemie Einhalt zu gebieten. Präsentation von Silvia Demuru (CSEM) und Renato Mutton (FEMTOprint)Item Ultra-low-power 60 GHz radar-on-chip(2023-12)CSEM has developed a low-cost, ultra-low-power 60 GHz MIMO FMCW PHY that can be integrated into radar-on-chips with custom digital processing for specific applications. This solution leverages CSEM’s decades of experience in ultra-low-power RF CMOS system-on-chip design.Item Heartbeat Detection in Photoplethysmography Signals for the Monitoring of Cardiac Arrhythmias(2024-01-24)Cardiac Arrhythmias (CAs) are a critical health issue associated with serious complications, such as stroke or heart failure. Wearable devices based on photoplethysmography (PPG), which can be worn in everyday life, have the potential to detect CAs earlier than current methods relying on electrocardiography (ECG). They could therefore enable a more preventive approach to treatment. While most PPG-based heartbeat detection algorithms have been evaluated on normal sinus rhythm or atrial fibrillation in clinical settings, their performance in patients with other cardiac arrhythmias in ambulatory settings remains unexplored to date. Methods: The PPG-beats framework, developed by Charlton and colleagues, evaluates the performance of several open-source heartbeat detectors. We applied the PPG-beats framework on a newly acquired dataset including forty-four patients referred for an ambulatory Holter ECG at Inselspital in Bern. This dataset comprises not only atrial fibrillation, but also bigeminy and premature contractions. Results: The heartbeat detector named MSPTD, performed best on normal sinus rhythm (with a median F1 score of 94.6%) and the detector named QPPG was top-ranked both on atrial fibrillation (91.6%) and bigeminy (80.0%). Conclusions: The heartbeats detectors named QPPG and MSPTD consistently achieved higher performance than other detectors. However, the detection of heartbeats from PPG signals is compromised in presence of bigeminy. This study sets the stage for continuous monitoring of cardiac arrhythmias in everyday life.Item Data-Driven IQC-Based Robust Control Design for Hybrid Micro-Disturbance Isolation Platform(2023-12-15)A novel approach for robust controller synthesis, which models uncertainty as an elliptical set, is proposed in the paper. Given a set of frequency response functions of linear time-invariant (LTI) multiple-input multiple-output (MIMO) systems, the approach determines the ‘best’ linear nominal model and the corresponding elliptical uncertainty set, which is consistent with the data. Using a novel split representation, the uncertainty set is represented as an equivalent integral quadratic constraint (IQC). Finally, this IQC is integrated into a data-driven frequency-domain controller synthesis method using convex optimisation. The proposed method is used to design a controller, which is robust against mechanical uncertainties for a hybrid micro-disturbance isolation platform for space applications. The experimental results show that the proposed method provides a less conservative uncertainty set and improves attenuation performance compared to classical methods that use disk uncertainty.
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