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Biomedical applications

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https://www.readbyqxmd.com/read/28231035/biologically-relevant-heterogeneity-metrics-and-practical-insights
#1
Albert Gough, Andrew M Stern, John Maier, Timothy Lezon, Tong-Ying Shun, Chakra Chennubhotla, Mark E Schurdak, Steven A Haney, D Lansing Taylor
Heterogeneity is a fundamental property of biological systems at all scales that must be addressed in a wide range of biomedical applications, including basic biomedical research, drug discovery, diagnostics, and the implementation of precision medicine. There are a number of published approaches to characterizing heterogeneity in cells in vitro and in tissue sections. However, there are no generally accepted approaches for the detection and quantitation of heterogeneity that can be applied in a relatively high-throughput workflow...
March 2017: SLAS Discov
https://www.readbyqxmd.com/read/28229486/biomineralization-from-material-tactics-to-biological-strategy
#2
REVIEW
Shasha Yao, Biao Jin, Zhaoming Liu, Changyu Shao, Ruibo Zhao, Xiaoyu Wang, Ruikang Tang
Biomineralization is an important tactic by which biological organisms produce hierarchically structured minerals with marvellous functions. Biomineralization studies typically focus on the mediation function of organic matrices on inorganic minerals, which helps scientists to design and synthesize bioinspired functional materials. However, the presence of inorganic minerals may also alter the native behaviours of organic matrices and even biological organisms. This progress report discusses the latest achievements relating to biomineralization mechanisms, the manufacturing of biomimetic materials and relevant applications in biological and biomedical fields...
February 23, 2017: Advanced Materials
https://www.readbyqxmd.com/read/28228077/antioxidant-nanoplatforms-for-dermal-delivery-melatonin
#3
Aroha Belen Sánchez Milán, Ana C Calpena Campmany, Beatriz Clares Naveros
Melatonin (MLT) is emerging as a promising therapeutic agent, mainly due to its role as antioxidant. Substantial evidences show that melatonin is potentially effective on a variety of diseases as cancer, inflammation and neurodegenerative diseases. The excellent antioxidant capacity with pharmacokinetics characteristics and the emerging search for new pharmaceutical nanotechnology based systems, make it particularly attractive to elaborate nanoplatforms based on MLT for biomedical or cosmetic dermal applications...
February 22, 2017: Current Drug Metabolism
https://www.readbyqxmd.com/read/28228012/investigation-of-thermally-induced-cellular-ablation-and-heat-response-triggered-by-planar-mos2-based-nanocomposite
#4
Shinya Ariyasu, Jing Mu, Xiao Zhang, Ying Huang, Edwin K L Yeow, Hua Zhang, Bengang Xing
In comparison to conventional tumor treatment methods, photothermal therapy (PTT) is one of the innovative therapeutic strategies that employs light to produce the localized heat for targeted ablation of cancer cells. Among various kinds of heat generation nanomaterials, transition metal dichalcogenide nanosheets, especially-molybdenum disulfide (MoS2) have recently been investigated as one of the promising PTT candidates because of their strong absorbance in the near-infrared (NIR) tissue transparency window and excellent photothermal conversion capability...
February 23, 2017: Bioconjugate Chemistry
https://www.readbyqxmd.com/read/28227935/heart-sound-segmentation-using-fractal-decomposition
#5
Rijil Thomas, Ling Lieng Hsi, Soh Cheong Boon, Erry Gunawan, Rijil Thomas, Ling Lieng Hsi, Soh Cheong Boon, Erry Gunawan
In order to assist cardiac diagnosis by phonocardiography, the automated identification of fundamental heart sounds for heart beat segmentation in a cardiac cycle plays a significant role in signal processing. Recent advancements in signal processing have also shown the potential of multifractality in biomedical applications. Hence, in this paper, the multifractal property of heart sounds is utilized to identify first and second heart sounds. The root mean square (rms) fluctuation used to obtain multifractal/singularity spectrum is used to decompose the heart sound into its own fractally-important components in time domain along with simultaneous Gaussianity test to filter out fundamental components...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227856/multiquadric-spline-based-interactive-segmentation-of-vascular-networks
#6
Sachin Meena, V B Surya Prasath, Yasmin M Kassim, Richard J Maude, Olga V Glinskii, Vladislav V Glinsky, Virginia H Huxley, Kannappan Palaniappan, Sachin Meena, V B Surya Prasath, Yasmin M Kassim, Richard J Maude, Olga V Glinskii, Vladislav V Glinsky, Virginia H Huxley, Kannappan Palaniappan, Virginia H Huxley, Yasmin M Kassim, Sachin Meena, Kannappan Palaniappan, Vladislav V Glinsky, Olga V Glinskii, Richard J Maude, V B Surya Prasath
Commonly used drawing tools for interactive image segmentation and labeling include active contours or boundaries, scribbles, rectangles and other shapes. Thin vessel shapes in images of vascular networks are difficult to segment using automatic or interactive methods. This paper introduces the novel use of a sparse set of user-defined seed points (supervised labels) for precisely, quickly and robustly segmenting complex biomedical images. A multiquadric spline-based binary classifier is proposed as a unique approach for interactive segmentation using as features color values and the location of seed points...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227676/initial-experiments-of-a-128-channel-fpga-and-pc-based-ultrasound-imaging-system-for-teaching-and-research-activities
#7
Amauri Amorin Assef, Joaquim Miguel Maia, Eduardo Tavares Costa, Amauri Amorin Assef, Joaquim Miguel Maia, Eduardo Tavares Costa, Amauri Amorin Assef, Joaquim Miguel Maia, Eduardo Tavares Costa
Although widely employed in medical diagnostic applications, most of the available commercial ultrasound (US) scanners do not always fit the needs of research users. Access to raw US data, portability, flexibility and advanced user control are essential features to explore alternative biomedical signal and imaging processing algorithms. In this paper, we present the initial results of a reconfigurable, cost-effective and modular 128-channel FPGA and PC-based US system, specifically designed for teaching and medical imaging research...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227441/novel-ti-nb-alloys-with-improved-wear-resistance-for-biomedical-implant-application
#8
Praveen Chapala, Swati Ghosh Acharyya, S M Shariff, Ganesh Naik, Praveen Chapala, Swati Ghosh Acharyya, S M Shariff, Ganesh Naik, Ganesh Naik, S M Shariff, Praveen Chapala, Swati Ghosh Acharyya
The present study involved fabrication of titanium niobium based alloys having elastic modulus close to that of human bone and subsequently determining the wear resistance of these alloys for biomedical application. In the present study three beta stabilized titanium niobium alloys having composition Ti-24Nb-4Zr-8Sn, Ti-35Nb-4Sn and Ti-29Nb-13Ta-7Zr were made by vacuum arc melting. The alloys were then aged at 1000 C for 6 hours in an argon atmosphere. Detailed microstructural characterization and phase identification was carried out using scanning electron microscopy and x-ray diffraction respectively...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227434/electrospinning-of-gelatin-and-smpu-with-carbon-nanotubes-for-tissue-engineering-scaffolds
#9
Monica A Mejia, Lina M Hoyos, Jenniffer Zapata, Luz M Restrepo, Maria E Moneada, Monica A Mejia, Lina M Hoyos, Jenniffer Zapata, Luz M Restrepo, Maria E Moneada, Lina M Hoyos, Jenniffer Zapata, Monica A Mejia, Luz M Restrepo
The nanofibres created by electrospinning technique are currently used for a variety of applications in tissue engineering; and Gelatin and Polyurethane Shape-Memory (SMPU) have important results in biomedicine. Similarly, carbon nanotubes combined with other biomaterials change important properties, opening new opportunities for biomedical applications. In this work, we constructed scaffold using electrospinning technique based in bovine-hide gelatin, SMPU and both materials hybrid with carbon nanotube. Morphology and cytotoxicity were evaluated and mechanical properties for two materials were obtained in scaffold building...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227396/supervised-multimodal-fusion-and-its-application-in-searching-joint-neuromarkers-of-working-memory-deficits-in-schizophrenia
#10
Shile Qi, Vince D Calhoun, Theo G M van Erp, Eswar Damaraju, Juan Bustillo, Yuhui Du, Jessica A Turner, Daniel H Mathalon, Judith M Ford, James Voyvodic, Bryon A Mueller, Aysenil Belger, Sarah Mc Ewen, Steven G Potkin, Adrian Preda, F Birn, Tianzi Jiang, Jing Sui, Shile Qi, Vince D Calhoun, Theo G M van Erp, Eswar Damaraju, Juan Bustillo, Yuhui Du, Jessica A Turner, Daniel H Mathalon, Judith M Ford, James Voyvodic, Bryon A Mueller, Aysenil Belger, Sarah McEwen, Steven G Potkin, Adrian Preda, F Birn, Tianzi Jiang, Jing Sui
Multimodal fusion is an effective approach to better understand brain disease. To date, most current fusion approaches are unsupervised; there is need for a multivariate method that can adopt prior information to guide multimodal fusion. Here we proposed a novel supervised fusion model, called "MCCAR+jICA", which enables both identification of multimodal co-alterations and linking the covarying brain regions with a specific reference signal, e.g., cognitive scores. The proposed method has been validated on both simulated and real human brain data...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227287/identification-and-annotation-of-multiple-periodic-pulse-trains-using-dominant-frequency-and-graph-search-applications-in-atrial-fibrillation-rotor-detection
#11
Rupin Dalvi, Adrian Suszko, Vijay S Chauhan, Rupin Dalvi, Adrian Suszko, Vijay S Chauhan, Rupin Dalvi, Adrian Suszko, Vijay S Chauhan
Biological signals, such as intracardiac electrograms during atrial fibrillation (AF), can contain multiple periodic components or peaks. We propose a method for identifying individual periodic peak trains in signals containing multiple such periodic sequences. We use dominant frequency-based periodicity detection along with a graph search algorithm to identify the most dominant periodic activation set or peaks of interest. We then remove these peaks and iterate until all periodic sequences are identified. The proposed method is tested on simulated AF intra-cardiac electrograms with periodic activation trains of three distinct frequencies corrupted by noise and complex aperiodic signal features...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227232/itk-snap-an-interactive-tool-for-semi-automatic-segmentation-of-multi-modality-biomedical-images
#12
Paul A Yushkevich, Yang Gao, Guido Gerig, Paul A Yushkevich, Yang Gao, Guido Gerig, Yang Gao, Paul A Yushkevich, Guido Gerig
Obtaining quantitative measures from biomedical images often requires segmentation, i.e., finding and outlining the structures of interest. Multi-modality imaging datasets, in which multiple imaging measures are available at each spatial location, are increasingly common, particularly in MRI. In applications where fully automatic segmentation algorithms are unavailable or fail to perform at desired levels of accuracy, semi-automatic segmentation can be a time-saving alternative to manual segmentation, allowing the human expert to guide segmentation, while minimizing the effort expended by the expert on repetitive tasks that can be automated...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227056/method-for-seamless-unlock-function-for-mobile-applications
#13
Ihor Vasyltsov, Changgyu Bak, Ihor Vasyltsov, Changgyu Bak, Changgyu Bak, Ihor Vasyltsov
In this paper there is proposed an approach for seamless unlock security function for mobile application. The method combines the biomedical signals measured from human body and motion signals acquired from the devices. For this purpose a wearable device and a mobile device can be securely synchronized. It is shown that entropy extracted from biomedical ECG signal is comparable to the strength of the PIN-code security, the same time giving the easiness, flexibility, and seamlessness of the usage to the user...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227052/an-empirical-study-on-the-effect-of-imbalanced-data-on-bleeding-detection-in-endoscopic-video
#14
Farah Deeba, Shahed K Mohammed, Francis M Bui, Khan A Wahid, Farah Deeba, Shahed K Mohammed, Francis M Bui, Khan A Wahid, Shahed K Mohammed, Francis M Bui, Khan A Wahid, Farah Deeba
In biomedical applications including classification of endoscopic videos, class imbalance is a common problem arising from the significant difference between the prior probabilities of different classes. In this paper, we investigate the performance of different classifiers for varying training data distribution in case of bleeding detection problem through three experiments. In the first experiment, we analyze the classifier performance for different class distribution with a fixed sized training dataset. The experiment provides the indication of the required class distribution for optimum classification performance...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226894/optimal-resonance-configuration-for-ultrasonic-wireless-power-transmission-to-millimeter-sized-biomedical-implants
#15
Miao Meng, Mehdi Kiani, Miao Meng, Mehdi Kiani, Miao Meng, Mehdi Kiani
In order to achieve efficient wireless power transmission (WPT) to biomedical implants with millimeter (mm) dimensions, ultrasonic WPT links have recently been proposed. Operating both transmitter (Tx) and receiver (Rx) ultrasonic transducers at their resonance frequency (fr) is key in improving power transmission efficiency (PTE). In this paper, different resonance configurations for Tx and Rx transducers, including series and parallel resonance, have been studied to help the designers of ultrasonic WPT links to choose the optimal resonance configuration for Tx and Rx that maximizes PTE...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226666/optimal-causal-filtering-for-1-f-%C3%AE-type-noise-in-single-electrode-eeg-signals
#16
Alan Paris, George Atia, Azadeh Vosoughi, Stephen A Berman, Alan Paris, George Atia, Azadeh Vosoughi, Stephen A Berman, Alan Paris, Azadeh Vosoughi, Stephen A Berman, George Atia
Understanding the mode of generation and the statistical structure of neurological noise is one of the central problems of biomedical signal processing. We have developed a broad class of abstract biological noise sources we call hidden simplicial tissues. In the simplest cases, such tissue emits what we have named generalized van der Ziel-McWhorter (GVZM) noise which has a roughly 1/f(α) spectral roll-off. Our previous work focused on the statistical structure of GVZM frequency spectra. However, causality of processing operations (i...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226661/optimal-weighted-averaging-of-event-related-activity-from-acquisitions-with-artifacts
#17
Luca Vollero, Sara Petrichella, Giulio Innello, Luca Vollero, Sara Petrichella, Giulio Innello, Luca Vollero, Sara Petrichella, Giulio Innello
In several biomedical applications that require the signal processing of biological data, the starting procedure for noise reduction is the ensemble averaging of multiple repeated acquisitions (trials). This method is based on the assumption that each trial is composed of two additive components: (i) a time-locked activity related to some sensitive/stimulation phenomenon (ERA, Event Related Activity in the following) and (ii) a sum of several other non time-locked background activities. The averaging aims at estimating the ERA activity under very low Signal to Noise and Interference Ratio (SNIR)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226618/eeg-based-driver-fatigue-detection-using-hybrid-deep-generic-model
#18
Phyo Phyo San, Sai Ho Ling, Rifai Chai, Yvonne Tran, Ashley Craig, Hung Nguyen, Phyo Phyo San, Sai Ho Ling, Rifai Chai, Yvonne Tran, Ashley Craig, Hung Nguyen, Ashley Craig, Sai Ho Ling, Hung Nguyen, Phyo Phyo San, Yvonne Tran, Rifai Chai
Classification of electroencephalography (EEG)-based application is one of the important process for biomedical engineering. Driver fatigue is a major case of traffic accidents worldwide and considered as a significant problem in recent decades. In this paper, a hybrid deep generic model (DGM)-based support vector machine is proposed for accurate detection of driver fatigue. Traditionally, a probabilistic DGM with deep architecture is quite good at learning invariant features, but it is not always optimal for classification due to its trainable parameters are in the middle layer...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226496/nano-fabricated-memristive-biosensors-for-biomedical-applications-with-liquid-and-dried-samples
#19
I Tzouvadaki, X Lu, G De Micheli, S Ingebrandt, S Carrara, I Tzouvadaki, X Lu, G De Micheli, S Ingebrandt, S Carrara, I Tzouvadaki, X Lu, S Ingebrandt, G De Micheli, S Carrara
Nanowire based platforms are widely reported for sensing applications and for their potential in the bio-detection field. In the present work, memristive nanowire devices are implemented for label-free sensing in liquid samples as well as in dried samples via leveraging the modification of the hysteresis in the devices electrical response as a consequence of the surface modification. First, pH sensing in liquid conditions is demonstrated. In addition, the memristive devices are bio-functionalized using antibodies for Prostate Specific Antigen (PSA) as case of study...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226472/statistical-approach-for-lightweight-detection-of-anomalies-in-ecg
#20
Ihor Vasyltsov, Changgyu Bak, Jiseung Jeong, Ihor Vasyltsov, Changgyu Bak, Jiseung Jeong, Changgyu Bak, Ihor Vasyltsov, Jiseung Jeong
In this paper the application of statistical approach for anomaly detection in a wearable ECG monitor has been considered. The method is based on the usage of the pre-defined expected behavior of the monitored biomedical signal and its on-line comparison with real-time measurements. Such comparison can be implemented based on the statistical model of ECG signal. To test the accuracy of the proposed method a ProSim 8 simulator was used to generate ECG signals. Our experiments showed that critical anomalies in ECG, such as Cardiac Failure, different types of Arrhythmia, and ST-segment deviations can be detected with high precision (96~100%), while false positive rate over typical NSR signal is low (<;4%)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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