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https://www.readbyqxmd.com/read/28644795/a-novel-short-term-event-extraction-algorithm-for-biomedical-signals
#1
Sasan Yazdani, Sibylle Fallet, Jean-Marc Vesin
In this paper we propose a fast novel non-linear filtering method named Relative-Energy (Rel-En), for robust short-term event extraction from biomedical signals. We developed an algorithm that extracts short- and long-term energies in a signal and provides a coefficient vector with which the signal is multiplied, heightening events of interest. This algorithm is thoroughly assessed on benchmark datasets in three different biomedical applications namely, ECG QRS-complex detection, EEG K-complex detection, and imaging photoplethysmography (iPPG) peak detection...
June 21, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28570056/intensity-independent-noise-filtering-in-ft-ms-and-ft-ms-ms-spectra-for-shotgun-lipidomics
#2
Kai Schuhmann, Henrik Thomas, Jacobo Miranda Ackerman, Konstantin O Nagornov, Yury O Tsybin, Andrej Shevchenko
Shotgun lipidomics relies on the direct infusion of total lipid extracts into a high resolution tandem mass spectrometer. A single shotgun analysis produces several hundred of densely populated FT MS and FT MS/MS spectra, each of which might comprise thousands of peaks although a very small percentage of those belong to lipids. Eliminating noise by adjusting a minimal peak intensity threshold is biased and inefficient since lipid species and classes vary in their natural abundance and ionization capacity. We developed a method of peak intensity-independent noise filtering in shotgun FT MS and FT MS/MS spectra that capitalizes on a stable composition of the infused analyte leading to consistent time-independent detection of its bona fide components...
June 15, 2017: Analytical Chemistry
https://www.readbyqxmd.com/read/28567128/noninvasive-fetal-electrocardiography-part-i-pan-tompkins-algorithm-adaptation-to-fetal-r-peak-identification
#3
Angela Agostinelli, Ilaria Marcantoni, Elisa Moretti, Agnese Sbrollini, Sandro Fioretti, Francesco Di Nardo, Laura Burattini
BACKGROUND: Indirect fetal electrocardiography is preferable to direct fetal electrocardiography because of being noninvasive and is applicable also during the end of pregnancy, besides labor. Still, the former is strongly affected by noise so that even R-peak detection (which is essential for fetal heart-rate evaluations and subsequent processing procedures) is challenging. Some fetal studies have applied the Pan-Tompkins' algorithm that, however, was originally designed for adult applications...
2017: Open Biomedical Engineering Journal
https://www.readbyqxmd.com/read/28559848/efficient-fetal-maternal-ecg-signal-separation-from-two-channel-maternal-abdominal-ecg-via-diffusion-based-channel-selection
#4
Ruilin Li, Martin G Frasch, Hau-Tieng Wu
There is a need for affordable, widely deployable maternal-fetal ECG monitors to improve maternal and fetal health during pregnancy and delivery. Based on the diffusion-based channel selection, here we present the mathematical formalism and clinical validation of an algorithm capable of accurate separation of maternal and fetal ECG from a two channel signal acquired over maternal abdomen. The proposed algorithm is the first algorithm, to the best of the authors' knowledge, focusing on the fetal ECG analysis based on two channel maternal abdominal ECG signal, and we apply it to two publicly available databases, the PhysioNet non-invasive fECG database (adfecgdb) and the 2013 PhysioNet/Computing in Cardiology Challenge (CinC2013), to validate the algorithm...
2017: Frontiers in Physiology
https://www.readbyqxmd.com/read/28504936/wave-mode-discrimination-of-coded-ultrasonic-guided-waves-using-two-dimensional-compressed-pulse-analysis
#5
Sergio Malo, Sina Fateri, Makis Livadas, Cristinel Mares, Tat-Hean Gan
Ultrasonic guided waves testing is a technique successfully used in many industrial scenarios worldwide. For many complex applications, the dispersive nature and multimode behavior of the technique still poses a challenge for correct defect detection capabilities. In order to improve the performance of the guided waves a 2-D compressed pulse analysis is presented in this paper. This novel technique combines the use of pulse compression and dispersion compensation in order to improve the signal-tonoise ratio and temporal-spatial resolution of the signals...
May 11, 2017: IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
https://www.readbyqxmd.com/read/28495007/a-lightweight-qrs-detector-for-single-lead-ecg-signals-using-a-max-min-difference-algorithm
#6
Diptangshu Pandit, Li Zhang, Chengyu Liu, Samiran Chattopadhyay, Nauman Aslam, Chee Peng Lim
BACKGROUND AND OBJECTIVES: Detection of the R-peak pertaining to the QRS complex of an ECG signal plays an important role for the diagnosis of a patient's heart condition. To accurately identify the QRS locations from the acquired raw ECG signals, we need to handle a number of challenges, which include noise, baseline wander, varying peak amplitudes, and signal abnormality. This research aims to address these challenges by developing an efficient lightweight algorithm for QRS (i.e., R-peak) detection from raw ECG signals...
June 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28494427/on-line-detection-of-escherichia-coli-intrusion-in-a-pilot-scale-drinking-water-distribution-system
#7
Jenni Ikonen, Tarja Pitkänen, Pascal Kosse, Robert Ciszek, Mikko Kolehmainen, Ilkka T Miettinen
Improvements in microbial drinking water quality monitoring are needed for the better control of drinking water distribution systems and for public health protection. Conventional water quality monitoring programmes are not always able to detect a microbial contamination of drinking water. In the drinking water production chain, in addition to the vulnerability of source waters, the distribution networks are prone to contamination. In this study, a pilot-scale drinking-water distribution network with an on-line monitoring system was utilized for detecting bacterial intrusion...
May 8, 2017: Journal of Environmental Management
https://www.readbyqxmd.com/read/28420215/a-phonocardiographic-based-fiber-optic-sensor-and-adaptive-filtering-system-for-noninvasive-continuous-fetal-heart-rate-monitoring
#8
Radek Martinek, Jan Nedoma, Marcel Fajkus, Radana Kahankova, Jaromir Konecny, Petr Janku, Stanislav Kepak, Petr Bilik, Homer Nazeran
This paper focuses on the design, realization, and verification of a novel phonocardiographic- based fiber-optic sensor and adaptive signal processing system for noninvasive continuous fetal heart rate (fHR) monitoring. Our proposed system utilizes two Mach-Zehnder interferometeric sensors. Based on the analysis of real measurement data, we developed a simplified dynamic model for the generation and distribution of heart sounds throughout the human body. Building on this signal model, we then designed, implemented, and verified our adaptive signal processing system by implementing two stochastic gradient-based algorithms: the Least Mean Square Algorithm (LMS), and the Normalized Least Mean Square (NLMS) Algorithm...
April 18, 2017: Sensors
https://www.readbyqxmd.com/read/28388939/auto-detection-and-segmentation-of-daily-living-activities-during-a-timed-up-and-go-task-in-people-with-parkinson-s-disease-using-multiple-inertial-sensors
#9
Hung Nguyen, Karina Lebel, Patrick Boissy, Sarah Bogard, Etienne Goubault, Christian Duval
BACKGROUND: Wearable sensors have the potential to provide clinicians with access to motor performance of people with movement disorder as they undergo intervention. However, sensor data often have to be manually classified and segmented before they can be processed into clinical metrics. This process can be time consuming. We recently proposed detection and segmentation algorithms based on peak detection using Inertial Measurement Units (IMUs) to automatically identify and isolate common activities during daily living such as standing up, walking, turning, and sitting down...
April 7, 2017: Journal of Neuroengineering and Rehabilitation
https://www.readbyqxmd.com/read/28380601/genome-wide-association-study-in-an-f2-duroc-x-pietrain-resource-population-for-economically-important-meat-quality-and-carcass-traits
#10
S Casiró, D Velez-Irizarry, C W Ernst, N E Raney, R O Bates, M G Charles, J P Steibel
Meat quality is essential for consumer acceptance, it ultimately impacts pork production profitability and it is subject to genetic control. The objective of this study was to map genomic regions associated with economically important meat quality and carcass traits. We performed a genome-wide association (GWA) analysis to map regions associated with 38 meat quality and carcass traits recorded for 948 F2 pigs from the Michigan State University Duroc × Pietrain resource population. The F0, F1, and 336 F2 pigs were genotyped with the Illumina Porcine SNP60 BeadChip, while the remaining F2 pigs were genotyped with the GeneSeek Genomic Profiler for Porcine Low Desnisty (LD) chip, and imputed with high accuracy ( = 0...
February 2017: Journal of Animal Science
https://www.readbyqxmd.com/read/28370326/probabilistic-peak-detection-in-ce-lif-for-str-dna-typing
#11
Michael Woldegebriel, Arian van Asten, Ate Kloosterman, Gabriel Vivó-Truyols
In this work we present a novel probabilistic peak detection algorithm based on a Bayesian framework for forensic DNA analysis. The proposed method aims at an exhaustive use of raw electropherogram (epg) data from a laser induced fluorescence multi-capillary electrophoresis (CE-LIF) system. As the raw-data is informative up to a single data point, the conventional threshold-based approaches discard relevant forensic information early in the data analysis pipeline. Our proposed method assigns a posterior probability reflecting the data point's relevance with respect to peak detection criteria...
March 31, 2017: Electrophoresis
https://www.readbyqxmd.com/read/28346883/identification-and-characterization-of-a-thermally-cleaved-fragment-of-monoclonal-antibody-a-detected-by-sodium-dodecyl-sulfate-capillary-gel-electrophoresis
#12
Kei Kubota, Naoki Kobayashi, Masayuki Yabuta, Motomu Ohara, Toyohiro Naito, Takuya Kubo, Koji Otsuka
This report describes a novel, comprehensive approach to identifying a fragment peak of monoclonal antibody-A (mAb-A), detected by sodium dodecyl sulfate-capillary gel electrophoresis (SDS-cGE). The fragment migrated close to the internal standard (10kDa marker) of SDS-cGE and increased about 0.5% under a 25°C condition for 6 months. Generally, identification of fragments observed in SDS-cGE is challenging to carry out due to the difficulty of collecting analytical amounts of fractionations from the capillary...
June 5, 2017: Journal of Pharmaceutical and Biomedical Analysis
https://www.readbyqxmd.com/read/28325916/automatic-time-shift-alignment-method-for-chromatographic-data-analysis
#13
Qing-Xia Zheng, Hai-Yan Fu, He-Dong Li, Bing Wang, Cui-Hua Peng, Sheng Wang, Jun-Lan Cai, Shao-Feng Liu, Xiao-Bing Zhang, Yong-Jie Yu
Time shift among samples remains a significant challenge in data analysis, such as quality control of natural plant extracts and metabolic profiling analysis, because this phenomenon may lead to invalid conclusions. In this work, we propose a new time shift alignment method, namely, automatic time-shift alignment (ATSA), for complicated chromatographic data analysis. This technique comprised the following alignment stages: (1) automatic baseline correction and peak detection stage for providing useful chromatographic information; (2) preliminary alignment stage through adaptive segment partition to correct alignment for the entire chromatogram; and (3) precise alignment stage based on test chromatographic peak information to accurately align time shift...
March 21, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28269048/an-algorithm-for-rotor-tracking-in-atrial-fibrillation-using-graph-search-based-periodic-peak-detection
#14
Rupin Dalvi, Adrian Suszko, Vijay S Chauhan
Rotors are rotating electrical waves that may sustain atrial fibrillation (AF); thereby providing therapeutic targets for catheter ablation. We propose a method for identifying rotors from circular catheter recordings of bipolar intracardiac electrograms (EGM) during AF. We use dominant frequency-based periodicity detection along with a graph search algorithm to identify the most dominant periodic activations or peaks of interest in each bipolar EGM recorded by a multipolar circular catheter. We then track the activations across catheter bipoles to determine whether they conform to the rotational pattern of a rotor...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268871/automatic-annotation-of-peaks-in-seismocardiogram-for-systolic-time-intervals
#15
Ghufran Shafiq, Sivanagaraja Tatinati, Kalyana C Veluvolu
Siemocardiography is a non-invasive technique for cardiomechanical assessment by analyzing the local vibrations on chest surface which can be readily acquired from cost-effective accelerometers. The peaks in siesmocardiogram (SCG) signal correspond to underlying mechanical events in heart cycle and have numerious potential clinical and health-awareness applications. However, utilization of SCG signal requires annotation of these peaks that is challenging due to variations in inter-subject morphology and noise prone characteristics of SCG signal...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227263/an-algorithm-for-rotor-tracking-in-atrial-fibrillation-using-graph-search-based-periodic-peak-detection
#16
Rupin Dalvi, Adrian Suszko, Vijay S Chauhan, Rupin Dalvi, Adrian Suszko, Vijay S Chauhan, Rupin Dalvi, Adrian Suszko, Vijay S Chauhan
Rotors are rotating electrical waves that may sustain atrial fibrillation (AF); thereby providing therapeutic targets for catheter ablation. We propose a method for identifying rotors from circular catheter recordings of bipolar intracardiac electrograms (EGM) during AF. We use dominant frequency-based periodicity detection along with a graph search algorithm to identify the most dominant periodic activations or peaks of interest in each bipolar EGM recorded by a multipolar circular catheter. We then track the activations across catheter bipoles to determine whether they conform to the rotational pattern of a rotor...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227069/automatic-annotation-of-peaks-in-seismocardiogram-for-systolic-time-intervals
#17
Ghufran Shafiq, Sivanagaraja Tatinati, Kalyana C Veluvolu, Ghufran Shafiq, Sivanagaraja Tatinati, Kalyana C Veluvolu, Kalyana C Veluvolu, Sivanagaraja Tatinati, Ghufran Shafiq
Siemocardiography is a non-invasive technique for cardiomechanical assessment by analyzing the local vibrations on chest surface which can be readily acquired from cost-effective accelerometers. The peaks in siesmocardiogram (SCG) signal correspond to underlying mechanical events in heart cycle and have numerious potential clinical and health-awareness applications. However, utilization of SCG signal requires annotation of these peaks that is challenging due to variations in inter-subject morphology and noise prone characteristics of SCG signal...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28225594/mass-spectral-feature-list-optimizer-ms-flo-a-tool-to-minimize-false-positive-peak-reports-in-untargeted-liquid-chromatography-mass-spectroscopy-lc-ms-data-processing
#18
Brian C DeFelice, Sajjan Singh Mehta, Stephanie Samra, Tomáš Čajka, Benjamin Wancewicz, Johannes F Fahrmann, Oliver Fiehn
Untargeted metabolomics by liquid chromatography-mass spectrometry generates data-rich chromatograms in the form of m/z-retention time features. Managing such datasets is a bottleneck. Many popular data processing tools, including XCMS-online and MZmine2, yield numerous false-positive peak detections. Flagging and removing such false peaks manually is a time-consuming task and prone to human error. We present a web application, Mass Spectral Feature List Optimizer (MS-FLO), to improve the quality of feature lists after initial processing to expedite the process of data curation...
March 6, 2017: Analytical Chemistry
https://www.readbyqxmd.com/read/28210934/adarri-a-novel-method-to-detect-spurious-r-peaks-in-the-electrocardiogram-for-heart-rate-variability-analysis-in-the-intensive-care-unit
#19
Dennis J Rebergen, Sunil B Nagaraj, Eric S Rosenthal, Matt T Bianchi, Michel J A M van Putten, M Brandon Westover
We developed a simple and fully automated method for detecting artifacts in the R-R interval (RRI) time series of the ECG that is tailored to the intensive care unit (ICU) setting. From ECG recordings of 50 adult ICU-subjects we selected 60 epochs with valid R-peak detections and 60 epochs containing artifacts leading to missed or false positive R-peak detections. Next, we calculated the absolute value of the difference between two adjacent RRIs (adRRI), and obtained the empirical probability distributions of adRRI values for valid R-peaks and artifacts...
February 16, 2017: Journal of Clinical Monitoring and Computing
https://www.readbyqxmd.com/read/28143631/automatic-biological-cell-counting-using-a-modified-gradient-hough-transform
#20
Emmanuel Denimal, Ambroise Marin, Stéphane Guyot, Ludovic Journaux, Paul Molin
We present a computational method for pseudo-circular object detection and quantitative characterization in digital images, using the gradient accumulation matrix as a basic tool. This Gradient Accumulation Transform (GAT) was first introduced in 1992 by Kierkegaard and recently used by Kaytanli & Valentine. In the present article, we modify the approach by using the phase coding studied by Cicconet, and by adding a "local contributor list" (LCL) as well as a "used contributor matrix" (UCM), which allow for accurate peak detection and exploitation...
February 1, 2017: Microscopy and Microanalysis
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