1 citations · 1 across the 1 of their papers we have counts for
4 papers
Assessment of deep learning based blood pressure prediction from PPG and rPPG signals
Fabian Schrumpf, Patrick Frenzel, Christoph Aust +2
Exploiting photoplethysmography signals (PPG) for non-invasive blood pressure (BP) measurement is interesting for various reasons. First, PPG can easily be measured using fingercli…
Utilizing Mask R-CNN for Waterline Detection in Canoe Sprint Video Analysis
Marie-Sophie von Braun, Patrick Frenzel, Christian Käding +1
Determining a waterline in images recorded in canoe sprint training is an important component for the kinematic parameter analysis to assess an athlete's performance. Here, we prop…
Exploiting Weak Head Movements for Camera-based Respiration Detection
Fabian Schrumpf, Christoph Moench, Gerold Bausch +1
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 m…
Similarity based hierarchical clustering of physiological parameters for the identification of health states - a feasibility study
Fabian Schrumpf, Gerold Bausch, Matthias Sturm +1
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 clusteri…