Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Schrumpf Fabian"'
Publikováno v:
Current Directions in Biomedical Engineering, Vol 8, Iss 2, Pp 423-426 (2022)
Pain assessment in clinical settings can be a challenging task for clinic staff and patients. An automatic and contactless pain estimation system via facial expression is a decisive advantage. In the following article we present a method for pain cla
Externí odkaz:
https://doaj.org/article/1d23dfce85c34efc9cea9d4ca51a5128
Publikováno v:
Current Directions in Biomedical Engineering, Vol 2, Iss 1, Pp 241-245 (2016)
The estimation of respiratory rates from contineous respiratory signals is commonly done using either fourier transformation or the zero-crossing method. This paper introduces another method which is based on the autocorrelation function of the respi
Externí odkaz:
https://doaj.org/article/6e30d9e3ad5946f9beaa240ea47b27b1
Photoplethysmographic (PPG) signals offer diagnostic potential beyond heart rate analysis or blood oxygen level monitoring. In the recent past, research focused extensively on non-invasive PPG-based approaches to blood pressure (BP) estimation. These
Externí odkaz:
http://arxiv.org/abs/2204.05605
Exploiting photoplethysmography signals (PPG) for non-invasive blood pressure (BP) measurement is interesting for various reasons. First, PPG can easily be measured using fingerclip sensors. Second, camera-based approaches allow to derive remote PPG
Externí odkaz:
http://arxiv.org/abs/2104.09313
In recent years, considerable progress has been made in the non-contact based detection of the respiration rate from video sequences. Common techniques either directly assess the movement of the chest due to breathing or are based on analyzing subtle
Externí odkaz:
http://arxiv.org/abs/1906.08192
Publikováno v:
2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 458-462)
This paper introduces a new unsupervised method for the clustering of physiological data into health states based on their similarity. We propose an iterative hierarchical clustering approach that combines health states according to a similarity cons
Externí odkaz:
http://arxiv.org/abs/1803.09592
Exploiting photoplethysmography signals (PPG) for non-invasive blood pressure (BP) measurement is interesting for various reasons. First, PPG can easily be measured using fingerclip sensors. Second, camera based approaches allow to derive remote PPG
Externí odkaz:
https://ul.qucosa.de/id/qucosa%3A85382
https://ul.qucosa.de/api/qucosa%3A85382/attachment/ATT-0/
https://ul.qucosa.de/api/qucosa%3A85382/attachment/ATT-0/
Autor:
Schrumpf, Fabian
In der Arbeit wird ein Verfahren zur Identifikation von Gesundheitszuständen des Menschen entwickelt. Mit Hilfe einer hierarchischen Cluster-Analyse werden anhand von Biosignalen Zustände mit charakteristischen Vitalparametersätzen identifiziert.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4df4bb579fb8ee569867c6d05569a0f2