3 citations · 4 across the 3 of their papers we have counts for
4 papers
Regression or Classification? Reflection on BP prediction from PPG data using Deep Neural Networks in the scope of practical applications
Fabian Schrumpf, Paul Rudi Serdack, Mirco Fuchs
Photoplethysmographic (PPG) signals offer diagnostic potential beyond heart rate analysis or blood oxygen level monitoring. In the recent past, research focused extensively on non-…
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…
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…