keyword
https://read.qxmd.com/read/38228043/assessing-background-contamination-of-sample-tubes-used-in-human-biomonitoring-by-non-targeted-liquid-chromatography-high-resolution-mass-spectrometry
#21
JOURNAL ARTICLE
Martin Krauss, Carolin Huber, Tobias Schulze, Martina Bartel-Steinbach, Till Weber, Marike Kolossa-Gehring, Dominik Lermen
Controlling and minimising background contamination is crucial for maintaining a high quality of samples in human biomonitoring targeting organic chemicals. We assessed the contamination of three previous types and one newly introduced medical-grade type of sample tubes used for storing human body fluids at the German Environmental Specimen Bank. Aqueous extracts from these tubes were analysed by non-targeted liquid chromatography-high resolution mass spectrometry (LC-HRMS) before and after a dedicated cleaning procedure...
January 6, 2024: Environment International
https://read.qxmd.com/read/38203076/benchmarking-of-sensor-configurations-and-measurement-sites-for-out-of-the-lab-photoplethysmography
#22
JOURNAL ARTICLE
Max Nobre Supelnic, Afonso Fortes Ferreira, Patrícia Justo Bota, Luís Brás-Rosário, Hugo Plácido da Silva
Photoplethysmography (PPG) is used for heart-rate monitoring in a variety of contexts and applications due to its versatility and simplicity. These applications, namely studies involving PPG data acquisition during day-to-day activities, require reliable and continuous measurements, which are often performed at the index finger or wrist. However, some PPG sensors are susceptible to saturation, motion artifacts, and discomfort upon their use. In this paper, an off-the-shelf PPG sensor was benchmarked and modified to improve signal saturation...
December 29, 2023: Sensors
https://read.qxmd.com/read/38200937/advances-in-non-invasive-neuromodulation-designing-closed-loop-devices-for-respiratory-controlled-transcutaneous-vagus-nerve-stimulation
#23
JOURNAL ARTICLE
Gabriella Maria de Faria, Eugênia Gonzales Lopes, Eleonora Tobaldini, Nicola Montano, Tatiana Sousa Cunha, Karina Rabello Casali, Henrique Alves de Amorim
Studies suggest non-invasive transcutaneous auricular vagus nerve stimulation (taVNS) as a potential therapeutic option for various pathological conditions, such as epilepsy and depression. Exhalation-controlled taVNS, which synchronizes stimulation with internal body rhythms, holds promise for enhanced neuromodulation, but there is no closed-loop system in the literature capable of performing such integration in real time. In this context, the objective was to develop real-time signal processing techniques and an integrated closed-loop device with sensors to acquire physiological data...
December 22, 2023: Healthcare (Basel, Switzerland)
https://read.qxmd.com/read/38182757/template-subtraction-based-methods-for-non-invasive-fetal-electrocardiography-extraction
#24
JOURNAL ARTICLE
Rene Jaros, Eva Tomicova, Radek Martinek
Assessment of fetal heart rate (fHR) through non-invasive fetal electrocardiogram (fECG) is challenging task. This study compares the performance of five template subtraction (TS) methods on Labor (12 5-min recordings) and Pregnancy datasets (10 20-min recordings). The methods include TS without adaptation, TS using singular value decomposition (TS[Formula: see text]), TS using linear prediction (TS[Formula: see text]), TS using scaling factor (TS[Formula: see text]), and sequential analysis (SA). The influence of the chosen maternal wavelet for the continuous wavelet transform (CWT) detector is also compared...
January 5, 2024: Scientific Reports
https://read.qxmd.com/read/38182695/automatic-muscle-impedance-and-nerve-analyzer-amina-as-a-novel-approach-for-classifying-bioimpedance-signals-in-intraoperative-pelvic-neuromonitoring
#25
JOURNAL ARTICLE
Ramona Schuler, Andreas Langer, Christoph Marquardt, Georgi Kalev, Maximilian Meisinger, Julia Bandura, Thomas Schiedeck, Matthias Goos, Albert Vette, Marko Konschake
Frequent complications arising from low anterior resections include urinary and fecal incontinence, as well as sexual disorders, which are commonly associated with damage to the pelvic autonomic nerves during surgery. To assist the surgeon in preserving pelvic autonomic nerves, a novel approach for intraoperative pelvic neuromonitoring was investigated that is based on impedance measurements of the innervated organs. The objective of this work was to develop an algorithm called AMINA to classify the bioimpedance signals, with the goal of facilitating signal interpretation for the surgeon...
January 5, 2024: Scientific Reports
https://read.qxmd.com/read/38181038/design-of-fault-location-algorithm-based-on-online-distributed-travelling-wave-for-hv-power-cable
#26
JOURNAL ARTICLE
Chen Haohao, Li Jing, Chen Ping
To tackle the challenge of localization failure due to traveling wave dispersion during a mid-line fault in a long high-voltage cable, this study conducts an in-depth analysis of the refraction characteristics of the cumulative three-phase sheath currents at cross commutation points and direct grounding points, facilitated by detailed theoretical derivation. We introduce the novel concept of a 'first traveling wave attenuation index,' which quantifies the peak of the initial faulted traveling wave. We strategically place distributed traveling wave detection devices solely in the first direct grounding box of each cross-interconnected main section, effectively segmenting the line into five distinct zones...
2024: PloS One
https://read.qxmd.com/read/38157665/automatic-peak-detection-algorithm-based-on-continuous-wavelet-transform-for-complex-chromatograms-from-multi-detector-micro-scale-gas-chromatographs
#27
JOURNAL ARTICLE
Xiangyu Zhao, Ryan Aridi, Jacob Hume, Swetha Subbiah, Xingqi Wu, Hyunwon Chung, Yutao Qin, Yogesh B Gianchandani
Peak detection for chromatograms, including the detection of peak retention times, peak start locations, and peak end locations, is an important processing step for extracting peak information that is used for chemical recognition. Compared to benchtop gas chromatographs, the chromatograms generated by microscale gas chromatographs (µGCs) often contain higher noise levels, peak overlap, peak asymmetry, and both positive and negative chromatographic peaks, increasing the challenges for peak detection. This paper reports an automatic peak detection algorithm based on continuous wavelet transform (CWT) for chromatograms generated by multi-detector µGCs...
December 15, 2023: Journal of Chromatography. A
https://read.qxmd.com/read/38154070/microcalcification-detectability-in-breast-ct-images-using-cnn-observers
#28
JOURNAL ARTICLE
Su Hyun Lyu, Craig K Abbey, Andrew M Hernandez, John M Boone
BACKGROUND: Breast computed tomography (CT) is an emerging breast imaging modality, and ongoing developments aim to improve breast CT's ability to detect microcalcifications. To understand the effects of different parameters on microcalcification detectability, a virtual clinical trial study was conducted using hybrid images and convolutional neural network (CNN)-based model observers. Mathematically generated microcalcifications were embedded into breast CT data sets acquired at our institution, and parameters related to calcification size, calcification contrast, cluster diameter, cluster density, and image display method (i...
December 28, 2023: Medical Physics
https://read.qxmd.com/read/38104507/automated-method-development-in-high-pressure-liquid-chromatography
#29
REVIEW
Emery Bosten, Alexander Kensert, Gert Desmet, Deirdre Cabooter
Method development in liquid chromatography is a crucial step in the optimization of analytical separations for various applications. However, it is often a challenging endeavour due to its time-consuming, resource intensive and costly nature, which is further hampered by its complexity requiring highly skilled and experienced scientists. This review presents an examination of the methods that are required for a completely automated method development procedure in liquid chromatography, aimed at taking the human out of the decision loop...
December 12, 2023: Journal of Chromatography. A
https://read.qxmd.com/read/38083354/statistical-validation-of-an-automated-method-for-calculating-time-domain-heart-rate-variability-on-the-qt-dataset
#30
JOURNAL ARTICLE
Carter Sun, Adam J Guastella, Kelsie A Boulton, Rinku Thapa, Alistair McEwan
Heart rate variability measures calculated from electrocardiography recordings reflect social competence. Clinical assessments of social skills have found that reduced heart rate variability is related to differences in the development of social skills in children and increase the risk of mental disorders. Limited by widespread manual signal processing and R-peak detection in current clinical assessments, most literature reports only short-term baseline studies, with fewer studies reporting social interaction settings with prolonged recording...
July 2023: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://read.qxmd.com/read/38071769/combination-of-in-silico-prediction-and-convolutional-neural-network-framework-for-targeted-screening-of-metabolites-from-lc-hrms-fingerprints-a-case-study-of-pericarpium-citri-reticulatae-fructusaurantii
#31
JOURNAL ARTICLE
Jun Zeng, Yaping Li, Chuanlin Wang, Sheng Fu, Min He
In this study, a novel approach is introduced, merging in silico prediction with a Convolutional Neural Network (CNN) framework for the targeted screening of in vivo metabolites in Liquid Chromatography-High Resolution Mass Spectrometry (LC-HRMS) fingerprints. Initially, three predictive tools, supplemented by literature, identify potential metabolites for target prototypes derived from Traditional Chinese Medicines (TCMs) or functional foods. Subsequently, a CNN is developed to minimize false positives from CWT-based peak detection...
December 5, 2023: Talanta
https://read.qxmd.com/read/38067417/monitoring-exposure-to-five-chemical-warfare-agents-using-the-dried-urine-spot-technique-and-liquid-chromatography-mass-spectrometry-mass-spectrometry-in-vivo-determination-of-sarin-metabolite-in-mice
#32
JOURNAL ARTICLE
Lilach Yishai Aviram, Shai Dagan, Ariel Hindi, Shira Chapman, Rellie Gez, Eyal Drug
Dried urine spot (DUS) is a micro-sample collection technique, known for its advantages in handling, storage and shipping. It also uses only a small volume of urine, an essential consideration in working with small animals, or in acute medical situations. Alkyl-phosphonic acids are the direct and indicative metabolites of organophosphorus chemical warfare agents (OP-CWAs) and are present in blood and urine shortly after exposure. They are therefore crucially important for monitoring casualties in war and terror scenarios...
November 21, 2023: Molecules: a Journal of Synthetic Chemistry and Natural Product Chemistry
https://read.qxmd.com/read/38064322/variation-minimization-based-electrocardiogram-artifacts-removal-for-local-field-potentials-from-neurostimulator
#33
JOURNAL ARTICLE
Jiayuan He, Botao Xiong, Qigang Ran, Tao Zhang, Wei Wang, Wei Zhang, Ning Jiang
Local field potential (LFP) recorded by sensing-enabled neurostimulators provided chronic observation of deep brain activities for the research of brain disorders. However, the contamination from the electrocardiogram (ECG) deteriorated the extraction of effective information from LFP. This study proposed a novel algorithm based on minimizing the variance combining template subtraction to improve the performance of ECG artifact removal for LFP. Four patients with implanted electrodes were recruited, and eight real LFP records were collected from their left and right hemispheres, respectively...
December 8, 2023: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://read.qxmd.com/read/38062773/exhaled-breath-signal-analysis-for-diabetes-detection-an-optimized-deep-learning-approach
#34
JOURNAL ARTICLE
Anita Gade, V Vijaya Baskar, John Panneerselvam
In this study, a flexible deep learning system for breath analysis is created using an optimal hybrid deep learning model. To improve the quality of the gathered breath signals, the raw data are first pre-processed. Then, the most relevant features like Improved IMFCC, BFCC (bark frequency), DWT, peak detection, QT intervals, and PR intervals are extracted. Then, using these features the hybrid classifiers built into the diabetic's detection phase is trained. The diabetic detection phase is modeled with an optimized DBN and BI-GRU model...
December 7, 2023: Computer Methods in Biomechanics and Biomedical Engineering
https://read.qxmd.com/read/38052596/precise-detection-and-localization-of-r-peaks-from-ecg-signals
#35
JOURNAL ARTICLE
Diguo Zhai, Xinqi Bao, Xi Long, Taotao Ru, Guofu Zhou
Heart rate variability (HRV) is derived from the R-R interval, which depends on the precise localization of R-peaks within an electrocardiogram (ECG) signal. However, current algorithm assessment methods prioritize the R-peak detection's sensitivity rather than the precision of pinpointing the exact R-peak positions. As a result, it is of great value to develop an R-peak detection algorithm with high-precision R-peak localization. This paper introduces a novel R-peak localization algorithm that involves modifications to the well-established Pan-Tompkins (PT) algorithm...
October 16, 2023: Mathematical Biosciences and Engineering: MBE
https://read.qxmd.com/read/38005460/ultrasonic-thickness-measurement-method-and-system-implementation-based-on-sampling-reconstruction-and-phase-feature-extraction
#36
JOURNAL ARTICLE
Wenqiang Gong, Xuanze Wang, Zhenyu Yang, Zhongsheng Zhai, Wei Feng, Da Liu
The existing ultrasonic thickness measurement systems require high sampling frequencies for echo signal acquisition, leading to complex circuit designs and high costs. Moreover, extracting the characteristics of ultrasonic echo signals for accurate thickness measurement poses significant challenges. To address these issues, this paper proposes a method that utilizes conventional sampling frequencies to acquire high-frequency ultrasonic echo signals, overcoming the limitations of high-frequency data acquisition imposed by the Nyquist-Shannon sampling theorem...
November 9, 2023: Sensors
https://read.qxmd.com/read/37960497/fast-parabolic-fitting-an-r-peak-detection-algorithm-for-wearable-ecg-devices
#37
JOURNAL ARTICLE
Ramón A Félix, Alberto Ochoa-Brust, Walter Mata-López, Rafael Martínez-Peláez, Luis J Mena, Laura L Valdez-Velázquez
Heart diseases rank among the most fatal health concerns globally, with the majority being preventable through early diagnosis and effective treatment. Electrocardiogram (ECG) analysis is critical in detecting heart diseases, as it captures the heart's electrical activities. For continuous monitoring, wearable electrocardiographic devices must ensure user comfort over extended periods, typically 24 to 48 h. These devices demand specialized algorithms with low computational complexity to accommodate memory and power consumption constraints...
October 28, 2023: Sensors
https://read.qxmd.com/read/37960391/a-generative-adversarial-network-to-synthesize-3d-magnetohydrodynamic-distortions-for-electrocardiogram-analyses-applied-to-cardiac-magnetic-resonance-imaging
#38
JOURNAL ARTICLE
Maroua Mehri, Guillaume Calmon, Freddy Odille, Julien Oster, Alain Lalande
Recently, deep learning (DL) models have been increasingly adopted for automatic analyses of medical data, including electrocardiograms (ECGs). Large, available ECG datasets, generally of high quality, often lack specific distortions, which could be helpful for enhancing DL-based algorithms. Synthetic ECG datasets could overcome this limitation. A generative adversarial network (GAN) was used to synthesize realistic 3D magnetohydrodynamic (MHD) distortion templates, as observed during magnetic resonance imaging (MRI), and then added to available ECG recordings to produce an augmented dataset...
October 24, 2023: Sensors
https://read.qxmd.com/read/37958536/flexible-quality-control-for-protein-turnover-rates-using-d2ome
#39
JOURNAL ARTICLE
Henock M Deberneh, Rovshan G Sadygov
Bioinformatics tools are used to estimate in vivo protein turnover rates from the LC-MS data of heavy water labeled samples in high throughput. The quantification includes peak detection and integration in the LC-MS domain of complex input data of the mammalian proteome, which requires the integration of results from different experiments. The existing software tools for the estimation of turnover rate use predefined, built-in, stringent filtering criteria to select well-fitted peptides and determine turnover rates for proteins...
October 25, 2023: International Journal of Molecular Sciences
https://read.qxmd.com/read/37944176/improved-t-wave-detection-in-electrocardiogram-signals-based-non-stationary-wavelet-transform-and-qrs-complex-cancellation-with-kurtosis-analysis
#40
JOURNAL ARTICLE
Neenu Sharma, Ramesh Kumar Sunkaria
The T-wave in electrocardiogram (ECG) signal has the potential to enumerate various cardiac dysfunctions in the cardiovascular system. The primary objective of this research is to develop an efficient method for detecting T-waves in ECG signals, with potential applications in clinical diagnosis and continuous patient monitoring. 
Approach: In this work, we propose a novel algorithm for T-wave peak detection, which relies on a Non-decimated stationary wavelet transform method (NSWT) and involves the cancellation of the QRS complex by utilizing its local extrema...
November 9, 2023: Physiological Measurement
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