Gregor Fritz | Searcharxiv

arXiv2025

Evaluating the Performance of a Modified Skin Temperature Sensor for Lower Limb Prostheses: An Experimental Comparison

Current rehabilitation of lower limb prostheses has significant challenges, especially with skin conditions, irritation and discomfort. Understanding the skin temperature and having comfortable wearable sensors that would monitor skin temperature in a real-time outdoor environment would be useful. The system would help the user and orthopedic technician to provide feedback and changes that might be required in the prosthesis. Hence in this paper, a series of experiments are conducted in order to understand and characterize the system behavior and compare a general thermistor and a modified thermistor as a potential method of temperature measurement for outdoor usage of prostheses. The paper goes on to compare the different modified thermistors behavior with their regular counterpart and highlights the challenges and improvement areas needed for such a modified thermistor for outdoor temperature monitoring in a prosthetic system. Initial results show that some of the modified thermistors showed better temperature recording compared to the rest. Finally, such modified thermistors can be a potential alternative for comfortable temperature measurement embedded in the prosthesis system. Such a system can provide valuable insights into temperature distribution and an early warning system for skin problems

eess.SP↗

arXiv2024

Physics-informed generative real-time lens-free imaging

Advancements in high-throughput biomedical applications require real-time, large field-of-view (FOV) imaging. While current 2D lens-free imaging (LFI) systems improve FOV, they are often hindered by time-consuming multi-position measurements, extensive data pre-processing, and strict optical parameterization, limiting their application to static, thin samples. To overcome these limitations, we introduce GenLFI, combining a generative unsupervised physics-informed neural network (PINN) with a large FOV LFI setup for straightforward holographic image reconstruction, without multi-measurement. GenLFI enables real-time 2D imaging for 3D samples, such as droplet-based microfluidics and 3D cell models, in dynamic complex optical fields. Unlike previous methods, our approach decouples the reconstruction algorithm from optical setup parameters, enabling a large FOV limited only by hardware. We demonstrate a real-time FOV exceeding 550 mm$^2$, over 20 times larger than current real-time LFI systems. This framework unlocks the potential of LFI systems, providing a robust tool for advancing automated high-throughput biomedical applications.

physics.optics↗