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https://www.readbyqxmd.com/read/27910541/research-on-the-best-measurement-situation-between-optical-probe-and-tissue-surfaces-in-non-invasive-detection
#1
Xuyao Yu, Rong Liu, Hui Yu, Jiao Wang, Jun Wang, Kexin Xu
Near-infrared spectroscopy is often used for the non-invasive detection of composition in the human body, such as that of blood glucose and haemoglobin, due to its high penetration depth into tissues. Although it is feasible to position the optical probe precisely, contact situation between probe and human tissues is a difficult problem to determine because of physiological tremor and mechanical performance of bio-soft tissue. Here, we proposed a novel estimation method for the situation between the optical probe and tissue surfaces based on the dynamic auto-correlation matrix of two-dimensional correlation spectroscopy (2DCOS) and radar chart...
November 2016: Review of Scientific Instruments
https://www.readbyqxmd.com/read/27900947/continuous-decoding-of-human-grasp-kinematics-using-epidural-and-subdural-signals
#2
Robert D Flint, Joshua M Rosenow, Matthew C Tate, Marc W Slutzky
OBJECTIVE: Restoring or replacing function in paralyzed individuals will one day be achieved through the use of brain-machine interfaces. Regaining hand function is a major goal for paralyzed patients. Two competing prerequisites for the widespread adoption of any hand neuroprosthesis are accurate control over the fine details of movement, and minimized invasiveness. Here, we explore the interplay between these two goals by comparing our ability to decode hand movements with subdural and epidural field potentials (EFPs)...
November 30, 2016: Journal of Neural Engineering
https://www.readbyqxmd.com/read/27892836/comparison-of-internal-adaptation-in-class-ii-bulk-fill-composite-restorations-using-micro-ct
#3
S H Han, S H Park
PURPOSE: This study compared the internal adaptation of bulk-fill composite restorations in class II cavities and explored the relationship between internal adaptation and polymerization shrinkage or stress. METHODS AND MATERIALS: Standardized mesio-occluso-distal cavities were prepared in 40 extracted human third molars and randomly divided into five groups (n=8). After having been applied by total-etch XP bond (Dentsply Caulk, Milford, DE, USA) and light curing, the teeth were restored with the following resin composites: group 1, Filtek Z350 (3M ESPE, St...
November 28, 2016: Operative Dentistry
https://www.readbyqxmd.com/read/27886018/radiofrequency-activated-pmma-augmentation-through-cannulated-pedicle-screws-a-cadaver-study-to-determine-the-biomechanical-benefits-in-the-osteoporotic-spine
#4
T Karius, C Deborre, D C Wirtz, C Burger, A Prescher, A Fölsch, K Kabir, R Pflugmacher, H Goost
INTRODUCTION: PMMA-augmentation of pedicle screws strengthens the bone-screw-interface reducing cut-out risk. Injection of fluid cement bears a higher risk of extravasation, with difficulty of application because of inconsistent viscosity and limited injection time. OBJECTIVE: To test a new method of cement augmentation of pedicle screws using radiofrequency-activated PMMA, which is suspected to be easier to apply and have less extravasations. METHODS: Twenty-seven fresh-frozen human cadaver lumbar spines were divided into 18 osteoporotic (BMD ≤ 0...
November 18, 2016: Technology and Health Care: Official Journal of the European Society for Engineering and Medicine
https://www.readbyqxmd.com/read/27881721/using-noise-to-shape-motor-learning
#5
Elias B Thorp, Konrad P Kording, Ferdinando A Mussa-Ivaldi
Each of our movements is selected from any number of alternative movements. Some studies have shown evidence that the central nervous system (CNS) chooses to make the specific movements that are least affected by motor noise. Previous results that the CNS has the natural tendency to minimize the effects of noise make the direct prediction that if the relationship between movements and noise were to change, the specific movements people learn to make would also change in a predictable manner. Indeed, this has been shown for well-practiced movements such as reaching...
November 23, 2016: Journal of Neurophysiology
https://www.readbyqxmd.com/read/27875232/a-novel-algorithm-for-learning-sparse-spatio-spectral-patterns-for-event-related-potentials
#6
Chaohua Wu, Ke Lin, Wei Wu, Xiaorong Gao
Recent years have witnessed brain-computer interface (BCI) as a promising technology for integrating human intelligence and machine intelligence. Currently, event-related potential (ERP)-based BCI is an important branch of noninvasive electroencephalogram (EEG)-based BCIs. Extracting ERPs from a limited number of trials remains challenging due to their low signal-to-noise ratio (SNR) and low spatial resolution caused by volume conduction. In this paper, we propose a probabilistic model for trial-by-trial concatenated EEG, in which the concatenated ERPs are expressed as a linear combination of a set of discrete sine and cosine bases...
November 17, 2016: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/27855780/decoding-gripping-force-based-on-local-field-potentials-recorded-from-subthalamic-nucleus-in-humans
#7
Huiling Tan, Alek Pogosyan, Keyoumars Ashkan, Alexander L Green, Tipu Aziz, Thomas Foltynie, Patricia Limousin, Ludvic Zrinzo, Marwan Hariz, Peter Brown
The basal ganglia are known to be involved in the planning, execution and control of gripping force and movement vigour. Here we aim to define the nature of the basal ganglia control signal for force and to decode gripping force based on local field potential (LFP) activities recorded from the subthalamic nucleus (STN) in patients with deep brain stimulation (DBS) electrodes. We found that STN LFP activities in the gamma (55-90 Hz) and beta (13-30 Hz) bands were most informative about gripping force, and that a first order dynamic linear model with these STN LFP features as inputs can be used to decode the temporal profile of gripping force...
November 18, 2016: ELife
https://www.readbyqxmd.com/read/27855415/instrumented-trail-making-task-to-differentiate-persons-with-no-cognitive-impairment-amnestic-mild-cognitive-impairment-and-alzheimer-disease-a-proof-of-concept-study
#8
He Zhou, Marwan Sabbagh, Rachel Wyman, Carolyn Liebsack, Mark E Kunik, Bijan Najafi
BACKGROUND: Objective and time-effective tools are needed to identify motor-cognitive impairment and facilitate early intervention. OBJECTIVE: We examined the feasibility, accuracy, and reliability of an instrumented trail-making task (iTMT) using a wearable sensor to identify motor-cognitive impairment among older adults. METHODS: Thirty subjects (age = 82.2 + 6.1 years, body mass index = 25.7 + 4.8, female = 43.3%) in 3 age-matched groups, 11 healthy, 10 with amnestic mild cognitive impairment (aMCI), and 9 with Alzheimer disease (AD), were recruited...
November 18, 2016: Gerontology
https://www.readbyqxmd.com/read/27846630/a-first-evaluation-of-omni%C3%A2-a-new-device-for-continuous-renal-replacement-therapy
#9
Pierre Schläpfer, Jean-Daniel Durovray, Valery Plouhinec, Cristiano Chiappa, Rinaldo Bellomo, Antoine Schneider
BACKGROUND: Omni® (B. Braun, Germany) is a new-generation, continuous renal replacement therapy (CRRT) machine designed to improve user interface, minimize downtime and optimize renal dose delivery. It was never tested in humans. METHODS: We used Omni® to provide CRRT in 10 critically ill patients. We collected therapy data, metabolic parameters and evaluated user's satisfaction with a survey. RESULTS: CRRT was delivered using Omni® in CVVH-heparin (6 patients) and CVVHD-citrate (4 patients) modes for a total duration of 617...
November 16, 2016: Blood Purification
https://www.readbyqxmd.com/read/27833725/prediction-of-endocrine-system-affectation-in-fisher-344-rats-by-food-intake-exposed-with-malathion-applying-na%C3%A3-ve-bayes-classifier-and-genetic-algorithms
#10
Juan David Sandino Mora, Darío Amaya Hurtado, Olga Lucía Ramos Sandoval
BACKGROUND: Reported cases of uncontrolled use of pesticides and its produced effects by direct or indirect exposition, represent a high risk for human health. Therefore, in this paper, it is shown the results of the development and execution of an algorithm that predicts the possible effects in endocrine system in Fisher 344 (F344) rats, occasioned by ingestion of malathion. METHODS: It was referred to ToxRefDB database in which different case studies in F344 rats exposed to malathion were collected...
2016: International Journal of Preventive Medicine
https://www.readbyqxmd.com/read/27833542/adaptive-automation-triggered-by-eeg-based-mental-workload-index-a-passive-brain-computer-interface-application-in-realistic-air-traffic-control-environment
#11
Pietro Aricò, Gianluca Borghini, Gianluca Di Flumeri, Alfredo Colosimo, Stefano Bonelli, Alessia Golfetti, Simone Pozzi, Jean-Paul Imbert, Géraud Granger, Raïlane Benhacene, Fabio Babiloni
Adaptive Automation (AA) is a promising approach to keep the task workload demand within appropriate levels in order to avoid both the under- and over-load conditions, hence enhancing the overall performance and safety of the human-machine system. The main issue on the use of AA is how to trigger the AA solutions without affecting the operative task. In this regard, passive Brain-Computer Interface (pBCI) systems are a good candidate to activate automation, since they are able to gather information about the covert behavior (e...
2016: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/27820693/relined-fiberglass-post-effect-of-luting-length-resin-cement-and-cyclic-loading-on-the-bond-to-weakened-root-dentin
#12
N C de Souza, M L Marcondes, Dff da Silva, G A Borges, Lh Burnett Júnior, A M Spohr
This study evaluated the effects of luting length of the post, the resin cement, and cyclic loading on pull-out bond strength of fiberglass posts relined with composite resin in weakened roots. The canals of 80 bovine incisors were endodontically treated and weakened with diamond burs. The teeth were randomly divided into eight groups (n=10) according to the luting procedures of the relined fiberglass post (RFP): In groups 1, 2, 3, and 4, the RFPs were luted with RelyX ARC, and in groups 5, 6, 7, and 8 they were luted with RelyX U200...
November 2016: Operative Dentistry
https://www.readbyqxmd.com/read/27802344/independent-mobility-achieved-through-a-wireless-brain-machine-interface
#13
Camilo Libedinsky, Rosa So, Zhiming Xu, Toe K Kyar, Duncun Ho, Clement Lim, Louiza Chan, Yuanwei Chua, Lei Yao, Jia Hao Cheong, Jung Hyup Lee, Kulkarni Vinayak Vishal, Yongxin Guo, Zhi Ning Chen, Lay K Lim, Peng Li, Lei Liu, Xiaodan Zou, Kai K Ang, Yuan Gao, Wai Hoe Ng, Boon Siew Han, Keefe Chng, Cuntai Guan, Minkyu Je, Shih-Cheng Yen
Individuals with tetraplegia lack independent mobility, making them highly dependent on others to move from one place to another. Here, we describe how two macaques were able to use a wireless integrated system to control a robotic platform, over which they were sitting, to achieve independent mobility using the neuronal activity in their motor cortices. The activity of populations of single neurons was recorded using multiple electrode arrays implanted in the arm region of primary motor cortex, and decoded to achieve brain control of the platform...
2016: PloS One
https://www.readbyqxmd.com/read/27774099/improving-eye-motion-sequence-recognition-using-electrooculography-based-on-context-dependent-hmm
#14
Fuming Fang, Takahiro Shinozaki, Yasuo Horiuchi, Shingo Kuroiwa, Sadaoki Furui, Toshimitsu Musha
Eye motion-based human-machine interfaces are used to provide a means of communication for those who can move nothing but their eyes because of injury or disease. To detect eye motions, electrooculography (EOG) is used. For efficient communication, the input speed is critical. However, it is difficult for conventional EOG recognition methods to accurately recognize fast, sequentially input eye motions because adjacent eye motions influence each other. In this paper, we propose a context-dependent hidden Markov model- (HMM-) based EOG modeling approach that uses separate models for identical eye motions with different contexts...
2016: Computational Intelligence and Neuroscience
https://www.readbyqxmd.com/read/27766844/one-piece-triboelectric-nanosensor-for-self-triggered-alarm-system-and-latent-fingerprint-detection
#15
Yang Jie, Huarui Zhu, Xia Cao, Yue Zhang, Ning Wang, Liqun Zhang, Zhong Lin Wang
Tactile sensing is of great importance in developing human-machine interface, remote control and security systems. Here, a self-triggered alarm system based on the one-piece triboelectric nanosensor (TENS) is reported. By using nitrocellulose (NC) membrane as the triboelectric material, the as-designed TENS can not only sensitively respond to physical contacts in a self-triggered mode, but also securely detect the third-level details of latent fingerprint. The self-triggered idea based on the triboelectric nanogenerator is compatible with intelligent interactive interface...
October 21, 2016: ACS Nano
https://www.readbyqxmd.com/read/27751984/building-a-national-neighborhood-dataset-from-geotagged-twitter-data-for-indicators-of-happiness-diet-and-physical-activity
#16
Quynh C Nguyen, Dapeng Li, Hsien-Wen Meng, Suraj Kath, Elaine Nsoesie, Feifei Li, Ming Wen
BACKGROUND: Studies suggest that where people live, play, and work can influence health and well-being. However, the dearth of neighborhood data, especially data that is timely and consistent across geographies, hinders understanding of the effects of neighborhoods on health. Social media data represents a possible new data resource for neighborhood research. OBJECTIVE: The aim of this study was to build, from geotagged Twitter data, a national neighborhood database with area-level indicators of well-being and health behaviors...
October 17, 2016: JMIR Public Health and Surveillance
https://www.readbyqxmd.com/read/27698035/big-data-need-big-theory-too
#17
REVIEW
Peter V Coveney, Edward R Dougherty, Roger R Highfield
The current interest in big data, machine learning and data analytics has generated the widespread impression that such methods are capable of solving most problems without the need for conventional scientific methods of inquiry. Interest in these methods is intensifying, accelerated by the ease with which digitized data can be acquired in virtually all fields of endeavour, from science, healthcare and cybersecurity to economics, social sciences and the humanities. In multiscale modelling, machine learning appears to provide a shortcut to reveal correlations of arbitrary complexity between processes at the atomic, molecular, meso- and macroscales...
November 13, 2016: Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
https://www.readbyqxmd.com/read/27692555/matrix-metalloproteinase-inhibitor-modulates-esterase-catalyzed-degradation-of-resin-dentin-interfaces
#18
Kyle B Serkies, Reena Garcha, Laura E Tam, Grace M De Souza, Yoav Finer
OBJECTIVE: Assess the modulating effect of matrix metalloproteinase (MMP) inhibition on simulated human salivary enzyme (SHSE)-catalyzed degradation of interfacial fracture-toughness (FT) of self-etched and total-etched resin-dentin interfaces. METHODS: Miniature short-rod FT specimens (N=10/group) containing a resin composite bonded to human dentin, using a self-etch (Easy Bond, EB) or a total-etch (Scotchbond, SB) adhesives, were prepared with and without application of an MMP inhibitor (galardin)...
December 2016: Dental Materials: Official Publication of the Academy of Dental Materials
https://www.readbyqxmd.com/read/27690199/electronic-cigarette-aerosol-induces-significantly-less-cytotoxicity-than-tobacco-smoke
#19
David Azzopardi, Kharishma Patel, Tomasz Jaunky, Simone Santopietro, Oscar M Camacho, John McAughey, Marianna Gaça
Electronic cigarettes (E-cigarettes) are a potential means of addressing the harm to public health caused by tobacco smoking by offering smokers a less harmful means of receiving nicotine. As e-cigarettes are a relatively new phenomenon, there are limited scientific data on the longer-term health effects of their use. This study describes a robust in vitro method for assessing the cytotoxic response of e-cigarette aerosols that can be effectively compared with conventional cigarette smoke. This was measured using the regulatory accepted Neutral Red Uptake assay modified for air-liquid interface (ALI) exposures...
July 2016: Toxicology Mechanisms and Methods
https://www.readbyqxmd.com/read/27669247/relieff-based-eeg-sensor-selection-methods-for-emotion-recognition
#20
Jianhai Zhang, Ming Chen, Shaokai Zhao, Sanqing Hu, Zhiguo Shi, Yu Cao
Electroencephalogram (EEG) signals recorded from sensor electrodes on the scalp can directly detect the brain dynamics in response to different emotional states. Emotion recognition from EEG signals has attracted broad attention, partly due to the rapid development of wearable computing and the needs of a more immersive human-computer interface (HCI) environment. To improve the recognition performance, multi-channel EEG signals are usually used. A large set of EEG sensor channels will add to the computational complexity and cause users inconvenience...
2016: Sensors
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