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https://www.readbyqxmd.com/read/29417328/identification-of-small-proteins-and-peptides-in-the-differentiation-of-patients-with-intraductal-mucinous-neoplasms-of-the-pancreas-chronic-pancreatitis-and-pancreatic-adenocarcinoma
#1
Chiara Fania, Raffaele Pezzilli, Gianvico Melzi d'Eril, Cecilia Gelfi, Alessandra Barassi
BACKGROUND: There are a limited number of studies investigating the type of serum proteins capable of differentiating intraductal papillary mucinous neoplasms from benign or malignant diseases of the pancreas. AIMS: To select proteins able to differentiate intraductal papillary mucinous neoplasms from benign and malignant pancreatic disease using semiquantitative proteomics. METHODS: Serum samples were obtained from 74 patients (19 with type II intraductal papillary mucinous neoplasms, 8 with type I/III intraductal papillary mucinous neoplasms, 24 with chronic pancreatitis, 23 with pancreatic ductal adenocarcinomas) and 21 healthy subjects...
February 8, 2018: Digestive Diseases and Sciences
https://www.readbyqxmd.com/read/29411400/cebr3-scintillators-for-4-he-prompt-gamma-spectroscopy-results-from-a-monte-carlo-optimization-study
#2
Riccardo Dal Bello, Joao Seco, Paulo Magalhaes Martins
PURPOSE: Range uncertainties limit the potential of charged particle therapy. In vivo and online range verification techniques could increase the confidence in the dose delivery distribution and lead to more conformal treatments. Prompt gamma imaging and prompt gamma spectroscopy (PGS) have been demonstrated for such purpose. The successful application of these techniques requires the development of a dedicated detector system optimized to the radiation energy ranges and the intensity...
February 7, 2018: Medical Physics
https://www.readbyqxmd.com/read/29363089/extracting-knowledge-from-ms-clinical-metabolomic-data-processing-and-analysis-strategies
#3
Julien Boccard, Serge Rudaz
Assessing potential alterations of metabolic pathways using large-scale approaches today plays a central role in clinical research. Because several thousands of mass features can be measured for each sample with separation techniques hyphenated to mass spectrometry (MS) detection, adapted strategies should be implemented to detect altered pathways and help to elucidate the mechanisms of pathologies. These procedures include peak detection, sample alignment, normalization, statistical analysis, and metabolite annotation...
2018: Methods in Molecular Biology
https://www.readbyqxmd.com/read/29360497/metabolomics-based-mechanisms-exploration-of-huang-lian-jie-du-decoction-on-cerebral-ischemia-via-uplc-q-tof-ms-analysis-on-rat-serum
#4
Baojie Zhu, Huiting Cao, Limin Sun, Bo Li, Liwei Guo, Jinao Duan, Huaxu Zhu, Qichun Zhang
ETHNOPHARMACOLOGICAL RELEVANCE: Huang-Lian Jie-Du decoction (HLJDD), a traditional formula of Chinese medicine constituted with Rhizoma Coptidis, RadixScutellariae, CortexPhellodendri amurensis and Fructus Gardeniae, exhibits unambiguous therapeutic effect on cerebral ischemia via multi-targets action. Further investigation, however, is still required to explore the relationship between those mechanisms and targets through system approaches. MATERIALS AND METHODS: Rats of cerebral ischemia were completed by middle cerebral artery occlusion (MCAO) with reperfusion...
January 19, 2018: Journal of Ethnopharmacology
https://www.readbyqxmd.com/read/29357113/toward-a-reliable-automated-method-of-individual-alpha-frequency-iaf-quantification
#5
Andrew W Corcoran, Phillip M Alday, Matthias Schlesewsky, Ina Bornkessel-Schlesewsky
Individual alpha frequency (IAF) is a promising electrophysiological marker of interindividual differences in cognitive function. IAF has been linked with trait-like differences in information processing and general intelligence, and provides an empirical basis for the definition of individualized frequency bands. Despite its widespread application, however, there is little consensus on the optimal method for estimating IAF, and many common approaches are prone to bias and inconsistency. Here, we describe an automated strategy for deriving two of the most prevalent IAF estimators in the literature: peak alpha frequency (PAF) and center of gravity (CoG)...
January 21, 2018: Psychophysiology
https://www.readbyqxmd.com/read/29346327/enhanced-isotopic-ratio-outlier-analysis-iroa-peak-detection-and-identification-with-ultra-high-resolution-gc-orbitrap-ms-potential-application-for-investigation-of-model-organism-metabolomes
#6
Yunping Qiu, Robyn D Moir, Ian M Willis, Suresh Seethapathy, Robert C Biniakewitz, Irwin J Kurland
Identifying non-annotated peaks may have a significant impact on the understanding of biological systems. In silico methodologies have focused on ESI LC/MS/MS for identifying non-annotated MS peaks. In this study, we employed in silico methodology to develop an Isotopic Ratio Outlier Analysis (IROA) workflow using enhanced mass spectrometric data acquired with the ultra-high resolution GC-Orbitrap/MS to determine the identity of non-annotated metabolites. The higher resolution of the GC-Orbitrap/MS, together with its wide dynamic range, resulted in more IROA peak pairs detected, and increased reliability of chemical formulae generation (CFG)...
January 18, 2018: Metabolites
https://www.readbyqxmd.com/read/29316636/segmentation-of-gait-sequences-in-sensor-based-movement-analysis-a-comparison-of-methods-in-parkinson-s-disease
#7
Nooshin Haji Ghassemi, Julius Hannink, Christine F Martindale, Heiko Gaßner, Meinard Müller, Jochen Klucken, Björn M Eskofier
Robust gait segmentation is the basis for mobile gait analysis. A range of methods have been applied and evaluated for gait segmentation of healthy and pathological gait bouts. However, a unified evaluation of gait segmentation methods in Parkinson's disease (PD) is missing. In this paper, we compare four prevalent gait segmentation methods in order to reveal their strengths and drawbacks in gait processing. We considered peak detection from event-based methods, two variations of dynamic time warping from template matching methods, and hierarchical hidden Markov models (hHMMs) from machine learning methods...
January 6, 2018: Sensors
https://www.readbyqxmd.com/read/29250135/a-hybrid-wavelet-based-method-for-the-peak-detection-of-photoplethysmography-signals
#8
Suyi Li, Shanqing Jiang, Shan Jiang, Jiang Wu, Wenji Xiong, Shu Diao
The noninvasive peripheral oxygen saturation (SpO2) and the pulse rate can be extracted from photoplethysmography (PPG) signals. However, the accuracy of the extraction is directly affected by the quality of the signal obtained and the peak of the signal identified; therefore, a hybrid wavelet-based method is proposed in this study. Firstly, we suppressed the partial motion artifacts and corrected the baseline drift by using a wavelet method based on the principle of wavelet multiresolution. And then, we designed a quadratic spline wavelet modulus maximum algorithm to identify the PPG peaks automatically...
2017: Computational and Mathematical Methods in Medicine
https://www.readbyqxmd.com/read/29245769/blind-modulation-format-identification-using-nonlinear-power-transformation
#9
Gengchen Liu, Roberto Proietti, Kaiqi Zhang, Hongbo Lu, S J Ben Yoo
This paper proposes and experimentally demonstrates a blind modulation format identification (MFI) method delivering high accuracy (> 99%) even in a low OSNR regime (< 10 dB). By using nonlinear power transformation and peak detection, the proposed MFI can recognize whether the signal modulation format is BPSK, QPSK, 8-PSK or 16-QAM. Experimental results demonstrate that the proposed MFI can achieve a successful identification rate as high as 99% when the incoming signal OSNR is 7 dB. Key parameters, such as FFT length and laser phase noise tolerance of the proposed method, have been characterized...
December 11, 2017: Optics Express
https://www.readbyqxmd.com/read/29156685/whole-genome-and-transcriptome-analysis-reveal-maldi-tof-ms-and-sds-page-have-limited-performance-for-the-detection-of-the-key-outer-membrane-protein-in-carbapenem-resistant-klebsiella-pneumoniae-isolates
#10
Naina Adren Pinto, Roshan D'Souza, In Sik Hwang, Jongrak Choi, Yong Ha In, Hyung Soon Park, Choong-Min Ryu, Dongeun Yong, Kyungwon Lee
To detect the outer membrane protein (OMP), which plays a key role in carbapenem resistance, whole-genome and transcriptome analysis of the clinical carbapenem-resistant Klebsiella pneumoniae was carried out. The index strain lacked both OmpK35 and OmpK36, whereas the other strains lacked only OmpK35. After SDS-PAGE, the putative OMP bands were excised and identified as OmpA and OmpK36. MALDI-TOF MS showed peaks at ∼36 and ∼38 kDa that corresponded to OmpA and OmpK36, respectively. In all the strains except YMC2014/03/P345, the ∼38 kDa peaks were present...
October 17, 2017: Oncotarget
https://www.readbyqxmd.com/read/29104745/an-adaptive-and-time-efficient-ecg-r-peak-detection-algorithm
#11
Qin Qin, Jianqing Li, Yinggao Yue, Chengyu Liu
R-peak detection is crucial in electrocardiogram (ECG) signal analysis. This study proposed an adaptive and time-efficient R-peak detection algorithm for ECG processing. First, wavelet multiresolution analysis was applied to enhance the ECG signal representation. Then, ECG was mirrored to convert large negative R-peaks to positive ones. After that, local maximums were calculated by the first-order forward differential approach and were truncated by the amplitude and time interval thresholds to locate the R-peaks...
2017: Journal of Healthcare Engineering
https://www.readbyqxmd.com/read/29103622/a-new-multi-stage-combined-kernel-filtering-approach-for-ecg-noise-removal
#12
Mazhar B Tayel, Ahmed S Eltrass, Abeer I Ammar
Electrocardiogram (ECG) signals are contaminated with different artifacts and noise sources which increase the difficulty in analyzing the ECG signals and obtaining accurate diagnosis of heart diseases. In this paper, a new multi-stage combined adaptive filtering design based on Kernel Recursive Least Squares Tracker (KRLST) and Kernel Recursive Least Squares with Approximate Linear Dependency (ALDKRLS) algorithms is proposed for removing artifacts and noise sources, while preserving the low frequency components and the tiny features of the ECG signal...
October 18, 2017: Journal of Electrocardiology
https://www.readbyqxmd.com/read/29080869/-metabolomic-profiling-in-culture-media-of-day-5-human-embryos
#13
I M Zorina, C M Eldarov, S A Yarigina, N P Makarova, D Yu Trofimov, V Yu Smolnikova, E A Kalinina, M Yu Bobrov
The aim of this study was to determine the changes of metabolomic profiles in embryonic culture media (ECM) for the evaluation of quality and implantation potential of human embryos. ECM (n=163) were collected on day 5 before transfer or cryopreservation. Some embryos were used in preimplantation genetic screening for detection of aneuploidy karyotypes. Samples were subdivided into groups according to embryo morphological classification (by Gardner), genetic analysis and implantation data. ECM were extracted with methanol, precipitates were separated by centrifugation and metabolite production of individual embryo was analysed by LC-MS (the positive ion mode)...
October 2017: Biomedit︠s︡inskai︠a︡ Khimii︠a︡
https://www.readbyqxmd.com/read/29065613/r-peak-detection-method-using-wavelet-transform-and-modified-shannon-energy-envelope
#14
Jeong-Seon Park, Sang-Woong Lee, Unsang Park
Rapid automatic detection of the fiducial points-namely, the P wave, QRS complex, and T wave-is necessary for early detection of cardiovascular diseases (CVDs). In this paper, we present an R peak detection method using the wavelet transform (WT) and a modified Shannon energy envelope (SEE) for rapid ECG analysis. The proposed WTSEE algorithm performs a wavelet transform to reduce the size and noise of ECG signals and creates SEE after first-order differentiation and amplitude normalization. Subsequently, the peak energy envelope (PEE) is extracted from the SEE...
2017: Journal of Healthcare Engineering
https://www.readbyqxmd.com/read/29060794/modified-automatic-r-peak-detection-algorithm-for-patients-with-epilepsy-using-a-portable-electrocardiogram-recorder
#15
J Jeppesen, S Beniczky, A Fuglsang Frederiksen, P Sidenius, P Johansen
Earlier studies have shown that short term heart rate variability (HRV) analysis of ECG seems promising for detection of epileptic seizures. A precise and accurate automatic R-peak detection algorithm is a necessity in a real-time, continuous measurement of HRV, in a portable ECG device. We used the portable CE marked ePatch® heart monitor to record the ECG of 14 patients, who were enrolled in the videoEEG long term monitoring unit for clinical workup of epilepsy. Recordings of the first 7 patients were used as training set of data for the R-peak detection algorithm and the recordings of the last 7 patients (467...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060769/automatic-atrial-fibrillation-detection-a-novel-approach-using-discrete-wavelet-transform-and-heart-rate-variability
#16
Iben H Bruun, Semira M S Hissabu, Erik S Poulsen, Sadasivan Puthusserypady
Early detection of Atrial Fibrillation (AF) is crucial in order to prevent acute and chronic cardiac rhythm disorders. In this study, a novel method for robust automatic AF detection (AAFD) is proposed by combining atrial activity (AA) and heart rate variability (HRV), which could potentially be used as a screening tool for patients suspected to have AF. The method includes an automatic peak detection prior to the feature extraction, as well as a noise cancellation technique followed by a bagged tree classification...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060652/adaptive-fourier-decomposition-based-r-peak-detection-for-noisy-ecg-signals
#17
Ze Wang, Chi Man Wong, Feng Wan
An adaptive Fourier decomposition (AFD) based R-peak detection method is proposed for noisy ECG signals. Although lots of QRS detection methods have been proposed in literature, most detection methods require high signal quality. The proposed method extracts the R waves from the energy domain using the AFD and determines the R-peak locations based on the key decomposition parameters, achieving the denoising and the R-peak detection at the same time. Validated by clinical ECG signals in the MIT-BIH Arrhythmia Database, the proposed method shows better performance than the Pan-Tompkin (PT) algorithm in both situations of a native PT and the PT with a denoising process...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060491/non-contact-acquisition-of-respiration-and-heart-rates-using-doppler-radar-with-time-domain-peak-detection-algorithm
#18
Xiaofeng Yang, Guanghao Sun, Koichiro Ishibashi
The non-contact measurement of the respiration rate (RR) and heart rate (HR) using a Doppler radar has attracted more attention in the field of home healthcare monitoring, due to the extremely low burden on patients, unconsciousness and unconstraint. Most of the previous studies have performed the frequency-domain analysis of radar signals to detect the respiration and heartbeat frequency. However, these procedures required long period time (approximately 30 s) windows to obtain a high-resolution spectrum. In this study, we propose a time-domain peak detection algorithm for the fast acquisition of the RR and HR within a breathing cycle (approximately 5 s), including inhalation and exhalation...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29059822/a-novel-method-for-accurate-estimation-of-hrv-from-smartwatch-ppg-signals
#19
Tanmoy Bhowmik, Jishnu Dey, Vijay Narayan Tiwari
Photoplethysmography(PPG) as a non-invasive tool for monitoring various cardiovascular parameters, has become popular due to the ease of wearable integration and pervasive nature. Due to unobtrusive nature of sensor placement at wrist, smartwatches and wrist based fitness bands have gained popularity. However, any movement of the wrist along with frequent loose contacts significantly corrupts the PPG signal. Reliable peak detection from the corrupted PPG signal is essential for any further processing, as many physiological quantities such as heart rate variability (HRV) depends on the peak-to-peak distances in the PPG signal, known as the RR Series...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29048394/photoplethysmography-signal-analysis-for-optimal-region-of-interest-determination-in-video-imaging-on-a-built-in-smartphone-under-different-conditions
#20
Yunyoung Nam, Yun-Cheol Nam
Smartphones and tablets are widely used in medical fields, which can improve healthcare and reduce healthcare costs. Many medical applications for smartphones and tablets have already been developed and widely used by both health professionals and patients. Specifically, video recordings of fingertips made using a smartphone camera contain a pulsatile component caused by the cardiac pulse equivalent to that present in a photoplethysmographic signal. By performing peak detection on the pulsatile signal, it is possible to estimate a continuous heart rate and a respiratory rate...
October 19, 2017: Sensors
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