3 citations · 4 across the 5 of their papers we have counts for
7 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-…
Investigation of the Assessment of Infant Vocalizations by Laypersons
Franz Anders, Mario Hlawitschka, Mirco Fuchs
The goal of this investigation was the assessment of acoustic infant vocalizations by laypersons. More specifically, the goal was to identify (1) the set of most salient classes fo…
Compensating class imbalance for acoustic chimpanzee detection with convolutional recurrent neural networks
Franz Anders, Ammie K. Kalan, Hjalmar S. Kühl +1
Automatic detection systems are important in passive acoustic monitoring (PAM) systems, as these record large amounts of audio data which are infeasible for humans to evaluate manu…
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…