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Continuous spectroscopic monitoring of urinary catheter output: advancements and clinical implications.
Sci Rep
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Department of Pediatric Surgery, University Hospital Essen, Essen, Germany.
Urine diagnostics are crucial for identifying urological disorders and systemic diseases. Monitoring bladder catheters for urine output and early signs of urinary tract infections (UTIs) is essential but labor-intensive and prone to documentation errors. Recent advances in electronic monitoring and spectroscopy offer potential improvement in this process.
View Article and Find Full Text PDFThis study presents a novel deep learning approach for surface electromyography (sEMG) gesture recognition using stacked autoencoder neural network (SAE)s. The method leverages hierarchical representation learning to extract meaningful features from raw sEMG signals, enhancing the precision and robustness of gesture classification.•Feature Extraction and Classification MODWT Decomposition: The sEMG signals were decomposed using the MODWT DECOMPOSITION(Maximal Overlap Discrete Wavelet Transform) to capture various frequency components.
View Article and Find Full Text PDFDual wavelength Brillouin laser terahertz source stabilized to carbonyl sulfide rotational transition.
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Boulder Research Labs, IMRA America, Inc., 1551 S Sunset St. Suite C, Longmont, CO, USA.
Optical-based terahertz sources are important for many burgeoning scientific and technological applications. Among such applications is precision spectroscopy of molecules, which exhibit rotational transitions at terahertz frequencies. Stemming from precision spectroscopy is frequency discrimination (a core technology in atomic clocks) and stabilization of terahertz sources.
View Article and Find Full Text PDFTowards an intelligent integrated methodology for accurate determination of volume percentages in three-phase flow systems.
Sci Rep
March 2025
School of Computing, Tokyo Institute of Technology, Yokohama, 226-8502, Japan.
Accurate determination of volume percentages in three-phase fluids is paramount for the success of various industrial processes, ranging from oil and gas production to chemical engineering. This study presents a comprehensive approach to this challenge by leveraging advanced signal processing techniques and machine learning paradigms. Our methodology integrates the time, frequency, and wavelet transform features extracted from X-ray-based measurement systems whose structure consists of an X-ray tube source, two sodium iodide detectors, and a test pipe, all of which were simulated using the Monte Carlo N Particle code.
View Article and Find Full Text PDFIntegrated Single-Step Terahertz Metasensing for Simultaneous Detection Based on Exosomal Membrane Proteins Enables Pathological Typing of Gastric Cancer.
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Department of General Surgery, First Medical Center, Chinese PLA General Hospital, Beijing 100853, China.
Exosomes (Exos) are emerging as noninvasive biomarkers for diagnosis and progression monitoring of gastric cancer (GC). However, the heterogeneity discrimination and ultrasensitive quantification of Exos presents a considerable analytical challenge, thereby impeding severely their clinical application. Herein, we propose an integrated terahertz metasensing platform for the discrimination of Exos in distinct subtypes of GC in a single step-through the simultaneous evaluation of the category and richness level of Exos membrane proteins.
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