Urine output (UO) is usually measured manually each hour in acutely ill patients. This task consumes a substantial amount of time. Furthermore, in the literature there is evidence that more frequent (minute-by-minute) UO measurement could impact clinical decision making and improve patient outcomes. However, it is not feasible to manually take minute-by-minute UO measurements. A device capable of automatically monitoring UO could save precious time of the healthcare staff and improve patient outcomes through a more precise and continuous monitoring of this parameter. This paper presents a device capable of automatically monitoring UO. It provides minute by minute measures and it can generate alarms that warn of deviations from therapeutic goals. It uses a capacitive sensor for the measurement of the UO collected within a rigid container. When the container is full, it automatically empties without requiring any internal or external power supply or any intervention by the nursing staff. In vitro tests have been conducted to verify the proper operation and accuracy in the measures of the device. These tests confirm the viability of the device to automate the monitoring of UO.
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http://dx.doi.org/10.1155/2014/587593 | DOI Listing |
Small Methods
January 2025
College of Control Science and Engineering, State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, Zhejiang Province, 310027, China.
The rapid, precise, and automated diagnosis of infectious diseases is crucial for effective disease management and control. Herein, the integrated portable and automatic digital detection system (IPADS), a novel diagnostic platform for nucleic acid detection is introduced. The device employs the hybrid magnetic system (HMS), which uses an electromagnet and a movable permanent magnet to modulate the magnetic field and control bead movement, increasing nucleic acid extraction efficiency to over 80%, while simplifying the traditional labor-intensive process and enabling quick, low-risk sample processing.
View Article and Find Full Text PDFAnn Agric Environ Med
December 2024
Department of Rehabilitation, Medical University of Warsaw, Warsaw, Poland.
Introduction And Objective: Surface electromyography (sEMG) measurements are a valid method for sublesional muscle activity following spinal cord injury (SCI). In the literature there are few reports evaluating the effect of robotic assisted gait training (RAGT) on the sEMG properties change in SCI patients. The aim of this study was to evaluate the influence of RAGT on observed change of sEMG, and in 64 incomplete SCI patients in the sub-acute stage in relation to functional scales.
View Article and Find Full Text PDFJ Dent
December 2024
OMFS-IMPATH Research Group, Department of Imaging and Pathology, Faculty of Medicine, KU Leuven, Leuven, Belgium; Department of Dental Medicine, Karolinska Institute, Stockholm, Sweden. Electronic address:
Objectives: To validate a novel artificial intelligence (AI)-based tool for automated tooth modelling by fusing cone beam computed tomography (CBCT)-derived roots with corresponding intraoral scanner (IOS)-derived crowns.
Methods: A retrospective dataset of 30 patients, comprising 30 CBCT scans and 55 IOS dental arches, was used to evaluate the fusion model at full arch and single tooth levels. AI-fused models were compared with CBCT tooth segmentation using point-to-point surface distances-reported as median surface distance (MSD), root mean square distance (RMSD), and Hausdorff distance (HD)- alongside visual assessments.
World Neurosurg
December 2024
Fraunhofer Institute for Manufacturing Engineering and Automation, Stuttgart, Germany; Institute of Industrial Manufacturing and Management, University of Stuttgart, Germany.
Food Chem
December 2024
School of Pharmacy, Qingdao University Medical College, No.1 Ningde Road, Qingdao 266071, China; Qingdao University - Aliben Science & Technology Collaborative Instrument R&D Center, Qingdao 266071, China. Electronic address:
A novel, compact, and automated laser ablation dielectric barrier discharge thin layer chromatography-mass spectrometry (LA-DBD-TLC-MS) device was developed for the rapid detection of biogenic amines (BAs) in fishery products. This plug-and-play system integrates thermal desorption via diode laser, DBD plasma ionization, and tandem MS detection, with key operational parameters optimized through experimental and computational methods. Utilizing nanoscale carbon black as a matrix, the device achieved a detection limit of 0.
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