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https://www.readbyqxmd.com/read/28231582/radiomics-in-head-and-neck-cancer-extracting-valuable-information-from-data-beyond-recognition
#1
Kathrin Scheckenbach, Lena Colter, Martin Wagenmann
In oncology, biomarkers that describe the characteristics of a malignancy on different levels (clinical, histological, molecular) and the patient's outcome and treatment response are increasingly integrated into the clinical routine. Extensive screening tools, "omics," offer incredible opportunities and vast amounts of data. During the last years, the field of "omics" gained a new promising partner, the "radiomics." Based on radiological imaging, multiple features can be extracted and linked to clinical, genomic, and histopathological data from other sources...
February 24, 2017: ORL; Journal for Oto-rhino-laryngology and its related Specialties
https://www.readbyqxmd.com/read/28231172/chemometrics-methods-for-specificity-authenticity-and-traceability-analysis-of-olive-oils-principles-classifications-and-applications
#2
REVIEW
Habib Messai, Muhammad Farman, Abir Sarraj-Laabidi, Asma Hammami-Semmar, Nabil Semmar
BACKGROUND: Olive oils (OOs) show high chemical variability due to several factors of genetic, environmental and anthropic types. Genetic and environmental factors are responsible for natural compositions and polymorphic diversification resulting in different varietal patterns and phenotypes. Anthropic factors, however, are at the origin of different blends' preparation leading to normative, labelled or adulterated commercial products. Control of complex OO samples requires their (i) characterization by specific markers; (ii) authentication by fingerprint patterns; and (iii) monitoring by traceability analysis...
November 17, 2016: Foods (Basel, Switzerland)
https://www.readbyqxmd.com/read/28230992/novel-design-of-heptad-amphiphiles-to-enhance-cell-selectivity-salt-resistance-anti-biofilm-properties-and-their-membrane-disruptive-mechanism
#3
Xiujing Dou, Xin Zhu, Jiajun Wang, Na Dong, Anshan Shan
Coiled-coil, a basic folding pattern of native proteins, was previously demonstrated to be associated with the specific spatial recognition, association, and dissociation of proteins and can be used to perfect engineering peptide model. Thus, in this study, a series of amphiphiles composed of heptads repeats with coiled-coil structures was constructed, and the designed peptides exhibited a broad spectrum of antimicrobial activities. Circular dichroism and biological assays showed that the heptad repeats and length of the linker between the heptads largely influenced the amphiphile's helical propensity and cell selectivity...
February 23, 2017: Journal of Medicinal Chemistry
https://www.readbyqxmd.com/read/28230860/carma2sh-and-ulk2-control-pathogen-associated-molecular-patterns-recognition-in-human-keratinocytes-psoriasis-linked-carma2sh-mutants-escape-ulk2-censorship
#4
Ivan Scudiero, Pellegrino Mazzone, Luca E D'Andrea, Angela Ferravante, Tiziana Zotti, Gianluca Telesio, Gabriele De Rubis, Carla Reale, Maddalena Pizzulo, Shanmugakonar Muralitharan, Pasquale Vito, Romania Stilo
The molecular complexes formed by specific members of the family of CARMA proteins, the CARD domain-containing adapter molecule BCL10 and MALT1 (CBM complex) represent a central hub in regulating activation of the pleiotropic transcription factor NF-κB. Recently, missense mutations in CARMA2sh have been shown to cause psoriasis in a dominant manner and with high penetrancy. Here, we demonstrate that in human keratinocytes CARMA2sh plays an essential role in the signal transduction pathway that connects pathogen-associated molecular patterns recognition to NF-κB activation...
February 23, 2017: Cell Death & Disease
https://www.readbyqxmd.com/read/28230847/building-better-biomarkers-brain-models-in-translational-neuroimaging
#5
REVIEW
Choong-Wan Woo, Luke J Chang, Martin A Lindquist, Tor D Wager
Despite its great promise, neuroimaging has yet to substantially impact clinical practice and public health. However, a developing synergy between emerging analysis techniques and data-sharing initiatives has the potential to transform the role of neuroimaging in clinical applications. We review the state of translational neuroimaging and outline an approach to developing brain signatures that can be shared, tested in multiple contexts and applied in clinical settings. The approach rests on three pillars: (i) the use of multivariate pattern-recognition techniques to develop brain signatures for clinical outcomes and relevant mental processes; (ii) assessment and optimization of their diagnostic value; and (iii) a program of broad exploration followed by increasingly rigorous assessment of generalizability across samples, research contexts and populations...
February 23, 2017: Nature Neuroscience
https://www.readbyqxmd.com/read/28230796/a-sensor-data-fusion-system-based-on-k-nearest-neighbor-pattern-classification-for-structural-health-monitoring-applications
#6
Jaime Vitola, Francesc Pozo, Diego A Tibaduiza, Maribel Anaya
Civil and military structures are susceptible and vulnerable to damage due to the environmental and operational conditions. Therefore, the implementation of technology to provide robust solutions in damage identification (by using signals acquired directly from the structure) is a requirement to reduce operational and maintenance costs. In this sense, the use of sensors permanently attached to the structures has demonstrated a great versatility and benefit since the inspection system can be automated. This automation is carried out with signal processing tasks with the aim of a pattern recognition analysis...
February 21, 2017: Sensors
https://www.readbyqxmd.com/read/28230394/the-onset-and-time-course-of-semantic-priming-during-rapid-recognition-of-visual-words
#7
Renske S Hoedemaker, Peter C Gordon
In 2 experiments, we assessed the effects of response latency and task-induced goals on the onset and time course of semantic priming during rapid processing of visual words as revealed by ocular response tasks. In Experiment 1 (ocular lexical decision task), participants performed a lexical decision task using eye movement responses on a sequence of 4 words. In Experiment 2, the same words were encoded for an episodic recognition memory task that did not require a metalinguistic judgment. For both tasks, survival analyses showed that the earliest observable effect (divergence point [DP]) of semantic priming on target-word reading times occurred at approximately 260 ms, and ex-Gaussian distribution fits revealed that the magnitude of the priming effect increased as a function of response time...
February 23, 2017: Journal of Experimental Psychology. Human Perception and Performance
https://www.readbyqxmd.com/read/28228750/evolutionary-roots-and-diversification-of-the-genus-aeromonas
#8
Ariadna Sanglas, Vicenta Albarral, Maribel Farfán, J G Lorén, M C Fusté
Despite the importance of diversification rates in the study of prokaryote evolution, they have not been quantitatively assessed for the majority of microorganism taxa. The investigation of evolutionary patterns in prokaryotes constitutes a challenge due to a very scarce fossil record, limited morphological differentiation and frequently complex taxonomic relationships, which make even species recognition difficult. Although the speciation models and speciation rates in eukaryotes have traditionally been established by analyzing the fossil record data, this is frequently incomplete, and not always available...
2017: Frontiers in Microbiology
https://www.readbyqxmd.com/read/28227976/user-intent-prediction-with-a-scaled-conjugate-gradient-trained-artificial-neural-network-for-lower-limb-amputees-using-a-powered-prosthesis
#9
Richard B Woodward, John A Spanias, Levi J Hargrove, Richard B Woodward, John A Spanias, Levi J Hargrove, John A Spanias, Richard B Woodward, Levi J Hargrove
Powered lower limb prostheses have the ability to provide greater mobility for amputee patients. Such prostheses often have pre-programmed modes which can allow activities such as climbing stairs and descending ramps, something which many amputees struggle with when using non-powered limbs. Previous literature has shown how pattern classification can allow seamless transitions between modes with a high accuracy and without any user interaction. Although accurate, training and testing each subject with their own dependent data is time consuming...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227968/limb-position-robust-classification-of-myoelectric-signals-for-prosthesis-control-using-sparse-representations
#10
Joseph L Betthauser, Christopher L Hunt, Luke E Osborn, Rahul R Kaliki, Nitish V Thakor, Joseph L Betthauser, Christopher L Hunt, Luke E Osborn, Rahul R Kaliki, Nitish V Thakor, Luke E Osborn, Christopher L Hunt, Nitish V Thakor, Rahul R Kaliki, Joseph L Betthauser
The fundamental objective in non-invasive myoelectric prosthesis control is to determine the user's intended movements from corresponding skin-surface recorded electromyographic (sEMG) activation signals as quickly and accurately as possible. Linear Discriminant Analysis (LDA) has emerged as the de facto standard for real-time movement classification due to its ease of use, calculation speed, and remarkable classification accuracy under controlled training conditions. However, performance of cluster-based methods like LDA for sEMG pattern recognition degrades significantly when real-world testing conditions do not resemble the trained conditions, limiting the utility of myoelectrically controlled prosthesis devices...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227896/intarsia-sensorized-band-and-textrodes-for-real-time-myoelectric-pattern-recognition
#11
Shannon Brown, Max Ortiz-Catalan, Joel Petersson, Kristian Rodby, Fernando Seoane, Shannon Brown, Max Ortiz-Catalan, Joel Petersson, Kristian Rodby, Fernando Seoane, Max Ortiz-Catalan, Fernando Seoane, Kristian Rodby, Shannon Brown, Joel Petersson
Surface Electromyography (sEMG) has applications in prosthetics, diagnostics and neuromuscular rehabilitation. Self-adhesive Ag/AgCl are the electrodes preferentially used to capture sEMG in short-term studies, however their long-term application is limited. In this study we designed and evaluated a fully integrated smart textile band with electrical connecting tracks knitted with intarsia techniques and knitted textile electrodes. Real-time myoelectric pattern recognition for motor volition and signal-to-noise ratio (SNR) were used to compare its sensing performance versus the conventional Ag-AgCl electrodes...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227773/whole-heart-modeling-spatiotemporal-dynamics-of-electrical-wave-conduction-and-propagation
#12
Hui Yang, Yun Chen, Fabio M Leonelli, Hui Yang, Yun Chen, Fabio M Leonelli, Hui Yang, Fabio M Leonelli, Yun Chen
Cardiac electrical activities are varying in both space and time. Human heart consists of a fractal network of muscle cells, Purkinje fibers, arteries and veins. Whole-heart modeling of electrical wave conduction and propagation involves a greater level of complexity. Our previous work developed a computer model of the anatomically realistic heart and simulated the electrical conduction with the use of cellular automata. However, simplistic assumptions and rules limit its ability to provide an accurate approximation of real-world dynamics on the complex heart surface, due to sensitive dependence of nonlinear dynamical systems on initial conditions...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227744/classification-of-non-weight-bearing-lower-limb-movements-towards-a-potential-treatment-for-phantom-limb-pain-based-on-myoelectric-pattern-recognition
#13
Eva Lendaro, Max Ortiz-Catalan, Eva Lendaro, Max Ortiz-Catalan, Max Ortiz-Catalan, Eva Lendaro
Research in myoelectric pattern recognition (MPR) for the prediction of motor volition has primarily focused on the upper limbs. Recent studies in the lower limbs have mainly concentrated on prosthetic control, while MPR for lower limb rehabilitation purposes has received little attention. In this work we investigated the viability of a MPR system for the prediction of four degrees of freedom controlled in a near natural or physiologically appropriate fashion. We explored three different electrode configurations for acquiring electromyographic (EMG) signals: two targeted (bipolar and monopolar) and one untargeted (electrodes equally spaced axially)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227717/audis-wear-a-smartwatch-based-assistive-device-for-ubiquitous-awareness-of-environmental-sounds
#14
Matthias Mielke, Rainer Bruck, Matthias Mielke, Rainer Bruck, Rainer Bruck, Matthias Mielke
A multitude of assistive devices is available for deaf people (i.e. deaf, deafened, and hard of hearing). Besides hearing and communication aids, devices to access environmental sounds are available commercially. But the devices have two major drawbacks: 1. they are targeted at indoor environments (e.g. home or work), and 2. only specific events are supported (e.g. the doorbell or telephone). Recent research shows that important sounds can occur in all contexts and that the interests in sounds are diverse. These drawbacks can be tackled by using modern information and communication technology that enables the development of new and improved assistive devices...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227654/preliminary-results-for-an-adaptive-pattern-recognition-system-for-novel-users-using-a-powered-lower-limb-prosthesis
#15
John A Spanias, Ann M Simon, Eric J Perreault, Levi J Hargrove, John A Spanias, Ann M Simon, Eric J Perreault, Levi J Hargrove, Eric J Perreault, John A Spanias, Ann M Simon, Levi J Hargrove
Powered prosthetic legs are capable of improving the gait of lower limb amputees. Pattern recognition systems for these devices allow amputees to transition between different locomotion modes in a way that is seamless and transparent to the user. However, the potential of these systems is diminished because they require large amounts of training data that is burdensome to collect. To reduce the effort required to acquire these data, we developed an adaptive pattern recognition system that automatically learns from subject-specific data as the user is ambulating...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227653/delaying-ambulation-mode-transitions-in-a-powered-knee-ankle-prosthesis
#16
Ann M Simon, John A Spanias, Kimberly A Ingraham, Levi J Hargrove, Ann M Simon, John A Spanias, Kimberly A Ingraham, Levi J Hargrove, John A Spanias, Ann M Simon, Kimberly A Ingraham, Levi J Hargrove
Powered knee and ankle prostheses have the potential to improve the mobility of individuals with a lower limb amputation. As the number of different ambulation modes the prosthesis can be configured for increases, so too does the challenge of how to best transition the prosthesis between these modes. Pattern recognition systems have been suggested as a means to provide seamless and natural transitions, although error rates need to be reduced for these systems to be clinical viable. Delaying mode transitions by a small window may be one way to reduce error rates and improve reliability...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227617/detection-of-chewing-from-piezoelectric-film-sensor-signals-using-ensemble-classifiers
#17
Muhammad Farooq, Edward Sazonov, Muhammad Farooq, Edward Sazonov, Muhammad Farooq, Edward Sazonov
Selection and use of pattern recognition algorithms is application dependent. In this work, we explored the use of several ensembles of weak classifiers to classify signals captured from a wearable sensor system to detect food intake based on chewing. Three sensor signals (Piezoelectric sensor, accelerometer, and hand to mouth gesture) were collected from 12 subjects in free-living conditions for 24 hrs. Sensor signals were divided into 10 seconds epochs and for each epoch combination of time and frequency domain features were computed...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227547/a-low-cost-open-source-compliant-hand-for-enabling-sensorimotor-control-for-people-with-transradial-amputations
#18
Aadeel Akhtar, Kyung Yun Choi, Michael Fatina, Jesse Cornman, Edward Wu, Joseph Sombeck, Chris Yim, Patrick Slade, Jason Lee, Jack Moore, Daniel Gonzales, Alvin Wu, Garrett Anderson, David Rotter, Cliff Shin, Timothy Bretl, Aadeel Akhtar, Kyung Yun Choi, Michael Fatina, Jesse Cornman, Edward Wu, Joseph Sombeck, Chris Yim, Patrick Slade, Jason Lee, Jack Moore, Daniel Gonzales, Alvin Wu, Garrett Anderson, David Rotter, Cliff Shin, Timothy Bretl, Kyung Yun Choi, Michael Fatina, Chris Yim, Jesse Cornman, Alvin Wu, Garrett Anderson, Jason Lee, Edward Wu, Daniel Gonzales, Aadeel Akhtar, David Rotter, Cliff Shin, Timothy Bretl, Patrick Slade, Jack Moore, Joseph Sombeck
In this paper, we describe the design and implementation of a low-cost, open-source prosthetic hand that enables both motor control and sensory feedback for people with transradial amputations. We integrate electromyographic pattern recognition for motor control along with contact reflexes and sensory substitution to provide feedback to the user. Compliant joints allow for robustness to impacts. The entire hand can be built for around $550. This low cost makes research and development of sensorimotor prosthetic hands more accessible to researchers worldwide, while also being affordable for people with amputations in developing nations...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227516/identification-of-emotion-associated-brain-functional-network-with-phase-locking-value
#19
V Gonuguntla, R Mallipeddi, K C Veluvolu, V Gonuguntla, R Mallipeddi, K C Veluvolu, V Gonuguntla, K C Veluvolu, R Mallipeddi
Recognition of discriminative brain functional network pattern and regions corresponding to emotions are important in understanding the neuron functional network underlying the human emotion process. Emotion models mapping onto brain is possible with the help of emotion-specific network patterns and its corresponding brain regions. This paper presents a method to identify emotion related functional connectivity pattern and their distinctive associated regions using EEG phase synchrony (phase locking value (PLV)) connectivity analysis...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227382/a-new-approach-for-the-detection-of-architectural-distortions-using-textural-analysis-of-surrounding-tissue
#20
Imad Zyout, Roberto Togneri, Imad Zyout, Roberto Togneri, Roberto Togneri, Imad Zyout
Aiming at improving the performance of computer-aided detection of architectural distortion (AD) in mammograms, this paper investigates whether textural patterns of AD surrounding tissue (ST) have the potential to detect AD signatures. More specifically, for characterizing the presence of AD; we investigated the application of textural analysis for discriminating between AD surrounding tissue and normal breast parenchyma. We evaluated the underlying hypothesis using a dataset of 2544 regions of interest (ROI) obtained from the Digital Database for Screening Mammography (DDSM)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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