activity
20222026
most citedSignal-to-noise ratio is more important than sampling rate in beat-to-beat interval estimation from optical sensors

26 citations · 26 across the 7 of their papers we have counts for

collaborators

7 papers

eess.AS2026

DNN-Based Frequency-Dependent Estimation of Speech, Music, and Noise Power in Acoustic Mixtures for Hearing-Aid Scene Analysis

Mats Lang, Thomas Haubner, Nina Kiessling +2

Acoustic scene analysis is essential for adapting hearing-aid signal processing algorithms to the current listening environment. However, state-of-the-art (SOTA) systems typically…

eess.AS2026

A Novel Binaural Cue Preservation Loss for DNN-Based Binaural Speech Enhancement

Jayteerth Amble, Thomas Haubner, Hendrik Schröter +2

Binaural speech enhancement for hearing aids aims to reduce noise while preserving the interaural cues needed for spatial localization. Although deep neural network-based methods a…

eess.SP2026

Task- and Metric-Specific Signal Quality Indices for Medical Time Series

Jad Haidamous, Christoph Hoog Antink

Medical time series such as electrocardiograms (ECGs) and photoplethysmograms (PPGs) are frequently affected by measurement artifacts due to challenging acquisition environments, s…

cs.CV2025

3D Blood Pulsation Maps

Maurice Rohr, Tobias Reinhardt, Tizian Dege +2

We present Pulse3DFace, the first dataset of its kind for estimating 3D blood pulsation maps. These maps can be used to develop models of dynamic facial blood pulsation, enabling t…

physics.med-ph2025

An AI dose engine for fast carbon ion treatment planning

Anastasiia Quarz, Angelica De Gregorio, Gaia Franciosini +7

Monte Carlo (MC) simulations provide gold-standard accuracy for carbon ion therapy dose calculations but are computationally intensive. Analytical pencil beam algorithms offer spee…

cs.CV2023

Automatic Generation of Labeled Data for Video-Based Human Pose Analysis via NLP applied to YouTube Subtitles

Sebastian Dill, Susi Zhihan, Maurice Rohr +2

With recent advancements in computer vision as well as machine learning (ML), video-based at-home exercise evaluation systems have become a popular topic of current research. Howev…

eess.SP2022★ 26 cited

Signal-to-noise ratio is more important than sampling rate in beat-to-beat interval estimation from optical sensors

Sebastian Zaunseder, Antti Vehkaoja, Vincent Fleischhauer +1

Photoplethysmographic Imaging (PPGI) allows the determination of pulse rate variability from sequential beat-to-beat intervals (BBI) and pulse wave velocity from spatially resolved…