Laura Schiphorst

Laura Schiphorst is a Researcher in the Department of Electrical Engineering affiliated with the Biomedical Diagnostics Lab. She actively participates in three major research projects: the PISANO SPS project (2021-2026) on perioperative innovations and sleep apnea, and two MEDICAID projects (2018-2023) focused on cardiovascular disease detection technologies. She also teaches the course "Data acquisition and analysis" from 2022 to 2026.

Her research centers on sleep medicine diagnostics using engineering approaches, with primary focus on obstructive sleep apnea assessment through home-based monitoring systems. She specializes in analyzing sleep time misperception using wearable sensors, accelerometry, and multi-level statistical modeling in natural home environments. Her work bridges biomedical engineering and clinical practice to improve diagnostic accuracy for sleep disorders and cardiovascular conditions, emphasizing real-world applicability of diagnostic tools.

Her 2024 publication demonstrates her methodological focus on multi-night home assessments of sleep apnea, integrating patient-reported outcomes with objective sensor data. This research trend highlights her commitment to developing practical diagnostic solutions that address gaps between laboratory polysomnography and real-world patient experiences, particularly regarding insomnia comorbidity in sleep apnea patients.

No scientific awards were identified in the provided information.

Laura contributes to externally funded research initiatives including TKI-HTSM PISANO SPS and MEDICAID ENGINE projects, which involve collaborations with Philips and clinical partners. These grants support the development of medical technologies for earlier cardiovascular disease detection and perioperative sleep apnea solutions, with emphasis on translating engineering innovations into clinical applications.

As part of the Biomedical Diagnostics Lab, she works within an interdisciplinary team that combines electrical engineering expertise with clinical medicine to advance home-based diagnostic systems, particularly for sleep disorders and cardiovascular monitoring.