Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Jan Graßhoff"'
Autor:
Julia Sauer, Jan Graßhoff, Niklas M. Carbon, Willi M. Koch, Steffen Weber-Carstens, Philipp Rostalski
Publikováno v:
Annals of Intensive Care, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Background Characterizing patient–ventilator interaction in critically ill patients is time-consuming and requires trained staff to evaluate the behavior of the ventilated patient. Methods In this study, we recorded surface electromyograph
Externí odkaz:
https://doaj.org/article/2d7f22b652424178bb510591ea798207
Publikováno v:
IEEE Access, Vol 11, Pp 146173-146184 (2023)
Diabetic retinopathy (DR) is a leading cause of vision loss. Therefore, screening for early signs and assessment of the DR severity is crucial and extensively studied. To support clinicians, screening could be automated by algorithms that can, for ex
Externí odkaz:
https://doaj.org/article/0f616588a950429db45c0f90cf246514
Autor:
Jan Graßhoff, Eike Petersen, Franziska Farquharson, Max Kustermann, Hans-Joachim Kabitz, Philipp Rostalski, Stephan Walterspacher
Publikováno v:
Critical Care, Vol 25, Iss 1, Pp 1-12 (2021)
Abstract Background Inspiratory patient effort under assisted mechanical ventilation is an important quantity for assessing patient–ventilator interaction and recognizing over and under assistance. An established clinical standard is respiratory mu
Externí odkaz:
https://doaj.org/article/882b5d568ead45379279c8cc5d1b3c4b
Publikováno v:
Current Directions in Biomedical Engineering, Vol 7, Iss 2, Pp 287-290 (2021)
Gaussian processes are a versatile tool for data processing. Unfortunately, due to storage and runtime requirements, standard Gaussian process (GP) methods are limited to a few thousand data points. Thus, they are infeasible in most biomedical, spati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff4b48c27565277580dba1545bdb3ae4
https://doi.org/10.1515/cdbme-2021-2073
https://doi.org/10.1515/cdbme-2021-2073
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2022
Body Surface Potential Mapping is the spatial high-resolution acquisition of cardiac electrical activity from the thorax surface. The method is used to record more comprehensive cardiac information than conventional ECG measurement approaches. Althou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f0c38945b1f91291bf267c4cc536e44
https://pubmed.ncbi.nlm.nih.gov/36086588
https://pubmed.ncbi.nlm.nih.gov/36086588
Publikováno v:
2022 30th European Signal Processing Conference (EUSIPCO).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45e32cf91c8dde8f6e9e51c69aa1cf9b
https://doi.org/10.23919/eusipco55093.2022.9909651
https://doi.org/10.23919/eusipco55093.2022.9909651
Autor:
Sven Pfeiffer, Ayla Nawaz, Gerwald Lichtenberg, Jan Graßhoff, Christian Hoffmann, Philipp Rostalski
Publikováno v:
at - Automatisierungstechnik. 69:538-549
The European X-ray Free Electron Laser (EuXFEL) is a complex system with many interconnected components and sensor measurements. We use factor graphs to systematically design a probabilistic fault diagnosis method for its cavity system. This approach
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2881bc55db8026ee3e105c65f132e323
https://doi.org/10.1515/auto-2020-0064
https://doi.org/10.1515/auto-2020-0064
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1b978a1989cafcec603fd3cf9c4153b
https://doi.org/10.1109/icassp43922.2022.9747086
https://doi.org/10.1109/icassp43922.2022.9747086
Publikováno v:
IFAC-PapersOnLine. 53:16323-16328
In assisted mechanical ventilation, it is of critical importance to monitor the patient’s own effort to breathe. Methods currently available are either invasive (esophageal electromyography and esophageal pressure) or rely heavily on intermittent o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9225aaaf4175a65a6c444db361745791
https://doi.org/10.1016/j.ifacol.2020.12.654
https://doi.org/10.1016/j.ifacol.2020.12.654
Publikováno v:
IEEE Access, Vol 8, Pp 30905-30917 (2020)
Electromyographic (EMG) measurements of the respiratory muscles provide a convenient and noninvasive way to assess respiratory muscle function and detect patient activity during assisted mechanical ventilation. However, surface EMG measurements of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::375986cb45b9dd360b607a2463a5ecd4
https://ieeexplore.ieee.org/document/8988257/
https://ieeexplore.ieee.org/document/8988257/