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https://www.readbyqxmd.com/read/28741028/transfer-of-time-based-task-expectancy-across-different-timing-environments
#1
Stefanie Aufschnaiter, Andrea Kiesel, Roland Thomaschke
Recent research on time-based expectancy has shown that humans base their expectancies for responses on representations of temporal relations (e.g., shorter vs. longer duration), rather than on representations of absolute durations (e.g., 500 vs. 1000 ms). In the present study, we investigated whether this holds also true for time-based expectancy of tasks instead of responses. Using a combination of the time-event correlation paradigm and the standard task-switching paradigm, participants learned to associate two different time intervals with two different tasks in a learning phase...
July 24, 2017: Psychological Research
https://www.readbyqxmd.com/read/28740869/comparing-sequencing-assays-and-human-machine-analyses-in-actionable-genomics-for-glioblastoma
#2
Kazimierz O Wrzeszczynski, Mayu O Frank, Takahiko Koyama, Kahn Rhrissorrakrai, Nicolas Robine, Filippo Utro, Anne-Katrin Emde, Bo-Juen Chen, Kanika Arora, Minita Shah, Vladimir Vacic, Raquel Norel, Erhan Bilal, Ewa A Bergmann, Julia L Moore Vogel, Jeffrey N Bruce, Andrew B Lassman, Peter Canoll, Christian Grommes, Steve Harvey, Laxmi Parida, Vanessa V Michelini, Michael C Zody, Vaidehi Jobanputra, Ajay K Royyuru, Robert B Darnell
OBJECTIVE: To analyze a glioblastoma tumor specimen with 3 different platforms and compare potentially actionable calls from each. METHODS: Tumor DNA was analyzed by a commercial targeted panel. In addition, tumor-normal DNA was analyzed by whole-genome sequencing (WGS) and tumor RNA was analyzed by RNA sequencing (RNA-seq). The WGS and RNA-seq data were analyzed by a team of bioinformaticians and cancer oncologists, and separately by IBM Watson Genomic Analytics (WGA), an automated system for prioritizing somatic variants and identifying drugs...
August 2017: Neurology. Genetics
https://www.readbyqxmd.com/read/28740505/object-extraction-in-cluttered-environments-via-a-p300-based-ifce
#3
Xiaoqian Mao, Wei Li, Huidong He, Bin Xian, Ming Zeng, Huihui Zhou, Linwei Niu, Genshe Chen
One of the fundamental issues for robot navigation is to extract an object of interest from an image. The biggest challenges for extracting objects of interest are how to use a machine to model the objects in which a human is interested and extract them quickly and reliably under varying illumination conditions. This article develops a novel method for segmenting an object of interest in a cluttered environment by combining a P300-based brain computer interface (BCI) and an improved fuzzy color extractor (IFCE)...
2017: Computational Intelligence and Neuroscience
https://www.readbyqxmd.com/read/28738675/transparent-and-flexible-triboelectric-sensing-array-for-touch-security-applications
#4
Zuqing Yuan, Tao Zhou, Yingying Yin, Ran Cao, Congju Li, Zhong Lin Wang
Tactile sensor with large-scale array and high sensitivity is essential for human-machine interaction, smart wearable devices and mobile network. Here, a transparent and flexible triboelectric sensing array (TSA) with fingertip-sized pixels is demonstrated by integrating ITO electrodes, FEP film and signal-transmission circuits on an undivided palm-sized PET substrate. The sensing pixels can be triggered by the corresponding external contact to induce the electrostatic potential in the transparent electrodes without power consumption, which is individually recognized by the sensor...
July 24, 2017: ACS Nano
https://www.readbyqxmd.com/read/28737748/inflammation-free-gas-permeable-lightweight-stretchable-on-skin-electronics-with-nanomeshes
#5
Akihito Miyamoto, Sungwon Lee, Nawalage Florence Cooray, Sunghoon Lee, Mami Mori, Naoji Matsuhisa, Hanbit Jin, Leona Yoda, Tomoyuki Yokota, Akira Itoh, Masaki Sekino, Hiroshi Kawasaki, Tamotsu Ebihara, Masayuki Amagai, Takao Someya
Thin-film electronic devices can be integrated with skin for health monitoring and/or for interfacing with machines. Minimal invasiveness is highly desirable when applying wearable electronics directly onto human skin. However, manufacturing such on-skin electronics on planar substrates results in limited gas permeability. Therefore, it is necessary to systematically investigate their long-term physiological and psychological effects. As a demonstration of substrate-free electronics, here we show the successful fabrication of inflammation-free, highly gas-permeable, ultrathin, lightweight and stretchable sensors that can be directly laminated onto human skin for long periods of time, realized with a conductive nanomesh structure...
July 17, 2017: Nature Nanotechnology
https://www.readbyqxmd.com/read/28730995/decoding-human-mental-states-by-whole-head-eeg-fnirs-during-category-fluency-task-performance
#6
Ahmet Omurtag, Haleh Aghajani, Hasan Onur Keles
Concurrent scalp electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS), which we refer to as EEG+fNIRS, promises greater accuracy than the individual modalities while remaining nearly as convenient as EEG. We sought to quantify the hybrid system's ability to decode mental states and compare it with its unimodal components. Approach. We recorded from healthy volunteers taking the category fluency test and applied machine learning techniques to the data. Main results...
July 21, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28727414/graphene-based-three-dimensional-capacitive-touch-sensor-for-wearable-electronics
#7
Minpyo Kang, Jejung Kim, Bongkyun Jang, Youngcheol Chae, Jae-Hyun Kim, Jong-Hyun Ahn
The development of input device technology in a conformal and stretchable format is important for the advancement of various wearable electronics. Herein, we report a capacitive touch sensor with good sensing capabilities in both contact and noncontact modes, enabled by the use of graphene and a thin device geometry. This device can be integrated with highly deformable areas of the human body, such as the forearms and palms. This touch sensor detects multiple touch signals in acute recordings and recognizes the distance and shape of the approaching objects before direct contact is made...
July 24, 2017: ACS Nano
https://www.readbyqxmd.com/read/28716627/membrane-proteins-structures-a-review-on-computational-modeling-tools
#8
REVIEW
Jose G Almeida, Antonio J Preto, Panagiotis I Koukos, Alexandre M J J Bonvin, Irina S Moreira
BACKGROUND: Membrane proteins (MPs) play diverse and important functions in living organisms. They constitute 20% to 30% of the known bacterial, archaean and eukaryotic organisms' genomes. In humans, their importance is emphasized as they represent 50% of all known drug targets. Nevertheless, experimental determination of their three-dimensional (3D) structure has proven to be both time consuming and rather expensive, which has led to the development of computational algorithms to complement the available experimental methods and provide valuable insights...
July 15, 2017: Biochimica et Biophysica Acta
https://www.readbyqxmd.com/read/28713235/connecting-the-brain-to-itself-through-an-emulation
#9
Mijail D Serruya
Pilot clinical trials of human patients implanted with devices that can chronically record and stimulate ensembles of hundreds to thousands of individual neurons offer the possibility of expanding the substrate of cognition. Parallel trains of firing rate activity can be delivered in real-time to an array of intermediate external modules that in turn can trigger parallel trains of stimulation back into the brain. These modules may be built in software, VLSI firmware, or biological tissue as in vitro culture preparations or in vivo ectopic construct organoids...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28711988/emotion-recognition-based-on-eeg-features-in-movie-clips-with-channel-selection
#10
Mehmet Siraç Özerdem, Hasan Polat
Emotion plays an important role in human interaction. People can explain their emotions in terms of word, voice intonation, facial expression, and body language. However, brain-computer interface (BCI) systems have not reached the desired level to interpret emotions. Automatic emotion recognition based on BCI systems has been a topic of great research in the last few decades. Electroencephalogram (EEG) signals are one of the most crucial resources for these systems. The main advantage of using EEG signals is that it reflects real emotion and can easily be processed by computer systems...
July 15, 2017: Brain Informatics
https://www.readbyqxmd.com/read/28706725/avatars-and-virtual-agents-relationship-interfaces-for-the-elderly
#11
REVIEW
Nava A Shaked
In the Digital Era, the authors witness a change in the relationship between the patient and the care-giver or Health Maintenance Organization's providing the health services. Another fact is the use of various technologies to increase the effectiveness and quality of health services across all primary and secondary users. These technologies range from telemedicine systems, decision making tools, online and self-services applications and virtual agents; all providing information and assistance. The common thread between all these digital implementations, is they all require human machine interfaces...
June 2017: Healthcare Technology Letters
https://www.readbyqxmd.com/read/28704032/transparent-flexible-strain-sensor-based-on-a-solution-processed-carbon-nanotube-network
#12
Jieun Lee, Meehyun Lim, Jinsu Yoon, Min Seong Kim, Bongsik Choi, Dong Myong Kim, Dae Hwan Kim, Inkyu Park, Sung-Jin Choi
The demands for transparent, flexible electronic devices are continuously increasing due to their potential applications to the human body. In particular, skin-like, transparent, flexible strain sensors have been developed to realize multifunctional human-machine interfaces. Here, we report a sandwich-like structured strain sensor with excellent optical transparency based on highly purified, solution-processed, 99% metallic CNT-polydimethylsiloxane (PDMS) composite thin films. Our CNT-PDMS composite strain sensors are mechanically compliant, physically robust, and easily fabricated...
July 25, 2017: ACS Applied Materials & Interfaces
https://www.readbyqxmd.com/read/28701169/comparison-between-semg-and-force-as-control-interfaces-to-support-planar-arm-movements-in-adults-with-duchenne-a-feasibility-study
#13
Joan Lobo-Prat, Kostas Nizamis, Mariska M H P Janssen, Arvid Q L Keemink, Peter H Veltink, Bart F J M Koopman, Arno H A Stienen
BACKGROUND: Adults with Duchenne muscular dystrophy (DMD) can benefit from devices that actively support their arm function. A critical component of such devices is the control interface as it is responsible for the human-machine interaction. Our previous work indicated that surface electromyography (sEMG) and force-based control with active gravity and joint-stiffness compensation were feasible solutions for the support of elbow movements (one degree of freedom). In this paper, we extend the evaluation of sEMG- and force-based control interfaces to simultaneous and proportional control of planar arm movements (two degrees of freedom)...
July 12, 2017: Journal of Neuroengineering and Rehabilitation
https://www.readbyqxmd.com/read/28676734/fuzzy-decision-making-fuser-fdmf-for-integrating-human-machine-autonomous-hma-systems-with-adaptive-evidence-sources
#14
Yu-Ting Liu, Nikhil R Pal, Amar R Marathe, Yu-Kai Wang, Chin-Teng Lin
A brain-computer interface (BCI) creates a direct communication pathway between the human brain and an external device or system. In contrast to patient-oriented BCIs, which are intended to restore inoperative or malfunctioning aspects of the nervous system, a growing number of BCI studies focus on designing auxiliary systems that are intended for everyday use. The goal of building these BCIs is to provide capabilities that augment existing intact physical and mental capabilities. However, a key challenge to BCI research is human variability; factors such as fatigue, inattention, and stress vary both across different individuals and for the same individual over time...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28665438/crumpled-sheets-of-reduced-graphene-oxide-as-a-highly-sensitive-robust-and-versatile-strain-pressure-sensor
#15
Subhajit Kundu, Rammohan Sriramdas, Kazi Rafsanjani Amin, Aveek Bid, Rudra Pratap, Narayanan Ravishankar
Sensing of mechanical stimuli forms an important communication pathway between humans/environment and machines. The progress in such sensing technology has possible impacts on the functioning of automated systems, human machine interfacing, health-care monitoring, prosthetics and safety systems. The challenges in this field range from attaining high sensitivity to extreme robustness. In this article, sensing of complex mechanical stimuli with a patch of taped crumpled reduced graphene oxide (rGO) has been reported which can typically be assembled under household conditions...
July 13, 2017: Nanoscale
https://www.readbyqxmd.com/read/28665058/decoding-saccadic-directions-using-epidural-ecog-in-non-human-primates
#16
Jeyeon Lee, Hoseok Choi, Seho Lee, Baek Hwan Cho, Kyoung Ha Ahn, In Young Kim, Kyoung Min Lee, Dong Pyo Jang
A brain-computer interface (BCI) can be used to restore some communication as an alternative interface for patients suffering from locked-in syndrome. However, most BCI systems are based on SSVEP, P300, or motor imagery, and a diversity of BCI protocols would be needed for various types of patients. In this paper, we trained the choice saccade (CS) task in 2 non-human primate monkeys and recorded the brain signal using an epidural electrocorticogram (eECoG) to predict eye movement direction. We successfully predicted the direction of the upcoming eye movement using a support vector machine (SVM) with the brain signals after the directional cue onset and before the saccade execution...
August 2017: Journal of Korean Medical Science
https://www.readbyqxmd.com/read/28644398/a-novel-wearable-forehead-eog-measurement-system-for-human-computer-interfaces
#17
Jeong Heo, Heenam Yoon, Kwang Suk Park
Amyotrophic lateral sclerosis (ALS) patients whose voluntary muscles are paralyzed commonly communicate with the outside world using eye movement. There have been many efforts to support this method of communication by tracking or detecting eye movement. An electrooculogram (EOG), an electro-physiological signal, is generated by eye movements and can be measured with electrodes placed around the eye. In this study, we proposed a new practical electrode position on the forehead to measure EOG signals, and we developed a wearable forehead EOG measurement system for use in Human Computer/Machine interfaces (HCIs/HMIs)...
June 23, 2017: Sensors
https://www.readbyqxmd.com/read/28641264/a-single-channel-eog-based-speller
#18
Shenghong He, Yuanqing Li
Electrooculography (EOG) signals, which can be used to infer the intentions of a user based on eye movements, are widely used in human-computer interface (HCI) systems. Most existing EOG-based HCI systems incorporate a limited number of commands because they generally associate different commands with a few different types of eye movements, such as looking up, down, left, or right. This paper presents a novel single-channel EOG-based HCI that allows users to spell asynchronously by only blinking. Forty buttons corresponding to 40 characters displayed to the user via a graphical user interface (GUI) are intensified in a random order...
June 15, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28632157/development-of-a-novel-transparent-flexible-capacitive-micromachined-ultrasonic-transducer
#19
Da-Chen Pang, Cheng-Min Chang
This paper presents the world's first transparent flexible capacitive micromachined ultrasonic transducer (CMUT) that was fabricated through a roll-lamination technique. This polymer-based CMUT has advantages of transparency, flexibility, and non-contacting detection which provide unique functions in display panel applications. Comprising an indium tin oxide-polyethylene terephthalate (ITO-PET) substrate, SU-8 sidewall and vibrating membranes, and silver nanowire transparent electrode, the transducer has visible-light transmittance exceeding 80% and can operate on curved surfaces with a 40 mm radius of curvature...
June 20, 2017: Sensors
https://www.readbyqxmd.com/read/28630937/high-precision-neural-decoding-of-complex-movement-trajectories-using-recursive-bayesian-estimation-with-dynamic-movement-primitives
#20
Guy Hotson, Ryan J Smith, Adam G Rouse, Marc H Schieber, Nitish V Thakor, Brock A Wester
Brain-machine interfaces (BMIs) are a rapidly progressing technology with the potential to restore function to victims of severe paralysis via neural control of robotic systems. Great strides have been made in directly mapping a user's cortical activity to control of the individual degrees of freedom of robotic end-effectors. While BMIs have yet to achieve the level of reliability desired for widespread clinical use, environmental sensors (e.g. RGB-D cameras for object detection) and prior knowledge of common movement trajectories hold great potential for improving system performance...
July 2016: IEEE Robotics and Automation Letters
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