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https://www.readbyqxmd.com/read/28325008/feasibility-of-an-ultra-low-power-digital-signal-processor-platform-as-a-basis-for-a-fully-implantable-brain-computer-interface-system
#1
Po T Wang, Keulanna Gandasetiawan, Colin M McCrimmon, Alireza Karimi-Bidhendi, Charles Y Liu, Payam Heydari, Zoran Nenadic, An H Do
A fully implantable brain-computer interface (BCI) can be a practical tool to restore independence to those affected by spinal cord injury. We envision that such a BCI system will invasively acquire brain signals (e.g. electrocorticogram) and translate them into control commands for external prostheses. The feasibility of such a system was tested by implementing its benchtop analogue, centered around a commercial, ultra-low power (ULP) digital signal processor (DSP, TMS320C5517, Texas Instruments). A suite of signal processing and BCI algorithms, including (de)multiplexing, Fast Fourier Transform, power spectral density, principal component analysis, linear discriminant analysis, Bayes rule, and finite state machine was implemented and tested in the DSP...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28315750/fun-cube-based-brain-gym-cognitive-function-assessment-system
#2
Tao Zhang, Chung-Chih Lin, Tsang-Chu Yu, Jing Sun, Wen-Chuin Hsu, Alice May-Kuen Wong
The aim of this study is to design and develop a fun cube (FC) based brain gym (BG) cognitive function assessment system using the wireless sensor network and multimedia technologies. The system comprised (1) interaction devices, FCs and a workstation used as interactive tools for collecting and transferring data to the server, (2) a BG information management system responsible for managing the cognitive games and storing test results, and (3) a feedback system used for conducting the analysis of cognitive functions to assist caregivers in screening high risk groups with mild cognitive impairment...
March 3, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28283691/-modulation-of-the-intestinal-microbiota-by-nutritional-interventions
#3
S Derer, H Lehnert, C Sina, A E Wagner
Humans live in symbiosis with billions of commensal bacteria. The so-called microbiota live on different biological interfaces such as the skin, the urogenital tract and the gastrointestinal tract. Commensal bacteria replace potentially pathogenic microbes, synthesize vitamins and ferment dietary fibre. An imbalance in the bacterial composition of the intestinal microbiota has been associated with various diseases including gut-associated disorders such as inflammatory bowel diseases, colorectal cancer and nonalcoholic fatty liver disease...
March 10, 2017: Der Internist
https://www.readbyqxmd.com/read/28281337/recent-advancements-in-flexible-and-stretchable-electrodes-for-electromechanical-sensors-strategies-materials-and-features
#4
Songfang Zhao, Jinhui Li, Duxia Cao, Guoping Zhang, Jia Li, Kui Li, Yang Yang, Wei Wang, Yufeng Jin, Rong Sun, Ching-Ping Wong
Stretchable and flexible sensors attached onto the surface of human body can perceive external stimuli, thus attracting extensive attention due to their lightweight, low modulus, low cost, high flexibility, and stretchability. Recently, a myriad of efforts have been devoted to improve the performance and functionality of wearable sensors. Herein, this reviews focuses on recent remarkable advancements in the development of flexible and stretchable sensors. Multifunction of these wearable sensors is realized by incorporating some desired features (e...
March 10, 2017: ACS Applied Materials & Interfaces
https://www.readbyqxmd.com/read/28269380/hand-motion-recognition-based-on-forearm-deformation-measured-with-a-distance-sensor-array
#5
Sung-Gwi Cho, Masahiro Yoshikawa, Kohei Baba, Kazunori Ogawa, Jun Takamatsu, Tsukasa Ogasawara
Studies of upper limb motion analysis using surface electromyogram (sEMG) signals measured from the forearm plays an important role in various applications, such as human interfaces for controlling robotic exoskeletons, prosthetic hands, and evaluation of body functions. Though the sEMG signals have a lot of information about the activities of the muscles, the signals do not have the activities of the deep layer muscles. We focused on forearm deformation, since hand motion brings the muscles, tendons, and skeletons under the skin...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269298/skills-based-evaluation-of-alternative-input-methods-to-command-a-semi-autonomous-electric-wheelchair
#6
Mario Rojas, Pedro Ponce, Arturo Molina
This paper presents the evaluation, under standardized metrics, of alternative input methods to steer and maneuver a semi-autonomous electric wheelchair. The Human-Machine Interface (HMI), which includes a virtual joystick, head movements and speech recognition controls, was designed to facilitate mobility skills for severely disabled people. Thirteen tasks, which are common to all the wheelchair users, were attempted five times by controlling it with the virtual joystick and the hands-free interfaces in different areas for disabled and non-disabled people...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268958/reward-value-is-encoded-in-primary-somatosensory-cortex-and-can-be-decoded-from-neural-activity-during-performance-of-a-psychophysical-task
#7
David B McNiel, John S Choi, John P Hessburg, Joseph T Francis
Encoding of reward valence has been shown in various brain regions, including deep structures such as the substantia nigra as well as cortical structures such as the orbitofrontal cortex. While the correlation between these signals and reward valence have been shown in aggregated data comprised of many trials, little work has been done investigating the feasibility of decoding reward valence on a single trial basis. Towards this goal, one non-human primate (macaca radiata) was trained to grip and hold a target level of force in order to earn zero, one, two, or three juice rewards...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268892/eeg-based-single-trial-detection-of-errors-from-multiple-error-related-brain-activity
#8
Guofa Shou, Lei Ding
A key ability of the human brain is to monitor erroneous events and adjust behaviors accordingly. Electrophysiological and neuroimaging studies have demonstrated different brain activities related to errors. Meanwhile, the recognition of error-related brain activity as one aspect of performance monitoring has been reported for potential applications in clinical neuroscience and brain-machine interface, where single-trial analysis and classification would provide novel insights on dynamic brain responses to errors...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268891/hybrid-bci-approach-to-control-an-artificial-tibio-femoral-joint
#9
Luis Mercado, Angel Rodriguez-Linan, Luis M Torres-Trevino, G Quiroz
Brain-Computer Interfaces (BCIs) for disabled people should allow them to use their remaining functionalities as control possibilities. BCIs connect the brain with external devices to perform the volition or intent of movement, regardless if that individual is unable to perform the task due to body impairments. In this work we fuse electromyographic (EMG) with electroencephalographic (EEG) activity in a framework called "Hybrid-BCI" (hBCI) approach to control the movement of a simulated tibio-femoral joint...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268643/properties-of-primary-motor-cortical-local-field-potentials-in-the-leg-and-trunk-representations-during-arm-movements
#10
Adil A Tobaa, Matthew D Best, Karthikeyan Balasubramanian, Kazutaka Takahashi, Nicholas G Hatsopoulos
Large, spatially-distributed populations of motor cortical neurons are recruited during upper limb movements. Here, we examined how beta attenuation, a mesoscopic reflection of unit engagement, varies across a spatially expansive sampling of primary motor cortex in a non-human primate (macaca mulatta). We found that electrodes in both the trunk and leg representation of motor cortex exhibit qualitatively similar behavior to electrodes in the arm representation during a planar reaching task, despite the fact that there were no overt movements of the trunk or leg...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268618/decoding-speech-using-the-timing-of-neural-signal-modulation
#11
Werner Jiang, Tejaswy Pailla, Benjamin Dichter, Edward F Chang, Vikash Gilja
Brain-machine interfaces (BMIs) have great potential for applications that restore and assist communication for paralyzed individuals. Recently, BMIs decoding speech have gained considerable attention due to their potential for high information transfer rates. In this study, we propose a novel decoding approach based on hidden Markov models (HMMs) that uses the timing of neural signal changes to decode speech. We tested the decoder's performance by predicting vowels from electrocorticographic (ECoG) data of three human subjects...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268615/soft-drink-effects-on-sensorimotor-rhythm-brain-computer-interface-performance-and-resting-state-spectral-power
#12
John Mundahl, Jianjun Meng, Jeffrey He, Bin He
Brain-computer interface (BCI) systems allow users to directly control computers and other machines by modulating their brain waves. In the present study, we investigated the effect of soft drinks on resting state (RS) EEG signals and BCI control. Eight healthy human volunteers each participated in three sessions of BCI cursor tasks and resting state EEG. During each session, the subjects drank an unlabeled soft drink with either sugar, caffeine, or neither ingredient. A comparison of resting state spectral power shows a substantial decrease in alpha and beta power after caffeine consumption relative to control...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268444/support-vectors-machine-classification-of-surface-electromyography-for-non-invasive-naturally-controlled-hand-prostheses
#13
Karina O A Moura, Gabriela W Favieiro, Alexandre Balbinot
The scientific researches in human rehabilitation techniques have continually evolved to offer again the mobility and freedom lost to disability. Many systems managed by myoelectric signals intended to mimic the movement of the human arm still have results considered partial, which makes it subject of many researches. The use of Natural Interfaces Signal Processing methods makes possible to design systems capable of offering prosthesis in a more natural and intuitive way. This paper presents a study investigating the use of forearm surface electromyography (sEMG) signals for classification of specific movements of hand using 12 sEMG channels and support vector machine (SVM)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28260370/mimicking-neurotransmitter-release-in-chemical-synapses-via-hysteresis-engineering-in-mos2-transistors
#14
Andrew Joseph Arnold, Ali Razavieh, Joseph R Nasr, Daniel S Schulman, Chad M Eichfeld, Saptarshi Das
Neurotransmitter release in chemical synapses is fundamental to diverse brain functions like motor action, learning, cognition, emotion, perception and consciousness. Moreover, improper functioning or abnormal release of neurotransmitter is associated with numerous neurological disorders like epilepsy, sclerosis, schizophrenia, Alzheimer's disease and Parkinson's disease. We have utilized hysteresis engineering in a back gated MoS2 field effect transistor (FETs) in order to mimic such neurotransmitter release dynamics in chemical synapses...
March 4, 2017: ACS Nano
https://www.readbyqxmd.com/read/28253189/microleakage-and-shear-bond-strength-of-a-new-sealant-containing-prereacted-glass-ionomer-particles
#15
Samuel N Durham, Erik J Meyers, Clifton W Bailey, Kraig S Vandewalle
A new fluoride-releasing sealant system is claimed to allow easier and faster placement while providing high bond strengths without the need for phosphoric acid etching. A study was designed to compare the microleakage and shear bond strength of a self-etching, Giomer-based sealant system with those of a traditional resin sealant. Group 1 received traditional sealant applied after use of a 35% phosphoric acid etchant; group 2 received Giomer sealant after use of a self-etching primer; and group 3 received Giomer sealant after the addition of an initial phosphoric acid etching step and placement of the primer...
March 2017: General Dentistry
https://www.readbyqxmd.com/read/28252933/lightweight-open-cell-scaffolds-from-sea-urchin-spines-with-superior-material-properties-for-bone-defect-repair
#16
Lei Cao, Xiaokang Li, Xiaoshu Zhou, Yong Li, Kenneth S Vecchio, Lina Yang, Wei Cui, Rui Yang, Yue Zhu, Zheng Guo, Xing Zhang
Sea urchin spines (Heterocentrotus mammillatus), with a hierarchical open-cell structure similar to that of human trabecular bone and superior mechanical property (compressive strength ∼43.4 MPa) suitable for machining to shape, were explored for potential applications of bone defect repair. Finite element analyses reveal that the compressive stress concentrates along the dense growth rings and dissipates through strut structures of the stereoms, indicating that the exquisite mesostructures play an important role in high strength-to-weight ratios...
March 22, 2017: ACS Applied Materials & Interfaces
https://www.readbyqxmd.com/read/28227623/hand-motion-recognition-based-on-forearm-deformation-measured-with-a-distance-sensor-array
#17
Sung-Gwi Cho, Masahiro Yoshikawa, Kohei Baba, Kazunori Ogawa, Jun Takamatsu, Tsukasa Ogasawara, Sung-Gwi Cho, Masahiro Yoshikawa, Kohei Baba, Kazunori Ogawa, Jun Takamatsu, Tsukasa Ogasawara, Sung-Gwi Cho, Jun Takamatsu, Masahiro Yoshikawa, Kazunori Ogawa, Tsukasa Ogasawara, Kohei Baba
Studies of upper limb motion analysis using surface electromyogram (sEMG) signals measured from the forearm plays an important role in various applications, such as human interfaces for controlling robotic exoskeletons, prosthetic hands, and evaluation of body functions. Though the sEMG signals have a lot of information about the activities of the muscles, the signals do not have the activities of the deep layer muscles. We focused on forearm deformation, since hand motion brings the muscles, tendons, and skeletons under the skin...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227535/skills-based-evaluation-of-alternative-input-methods-to-command-a-semi-autonomous-electric-wheelchair
#18
Mario Rojas, Pedro Ponce, Arturo Molina, Mario Rojas, Pedro Ponce, Arturo Molina, Pedro Ponce, Mario Rojas, Arturo Molina
This paper presents the evaluation, under standardized metrics, of alternative input methods to steer and maneuver a semi-autonomous electric wheelchair. The Human-Machine Interface (HMI), which includes a virtual joystick, head movements and speech recognition controls, was designed to facilitate mobility skills for severely disabled people. Thirteen tasks, which are common to all the wheelchair users, were attempted five times by controlling it with the virtual joystick and the hands-free interfaces in different areas for disabled and non-disabled people...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227510/feasibility-of-an-ultra-low-power-digital-signal-processor-platform-as-a-basis-for-a-fully-implantable-brain-computer-interface-system
#19
Po T Wang, Keulanna Gandasetiawan, Colin M McCrimmon, Alireza Karimi-Bidhendi, Charles Y Liu, Payam Heydari, Zoran Nenadic, An H Do, Po T Wang, Keulanna Gandasetiawan, Colin M McCrimmon, Alireza Karimi-Bidhendi, Charles Y Liu, Payam Heydari, Zoran Nenadic, An H Do, An H Do, Zoran Nenadic, Colin M McCrimmon, Keulanna Gandasetiawan, Payam Heydari, Alireza Karimi-Bidhendi, Po T Wang, Charles Y Liu
A fully implantable brain-computer interface (BCI) can be a practical tool to restore independence to those affected by spinal cord injury. We envision that such a BCI system will invasively acquire brain signals (e.g. electrocorticogram) and translate them into control commands for external prostheses. The feasibility of such a system was tested by implementing its benchtop analogue, centered around a commercial, ultra-low power (ULP) digital signal processor (DSP, TMS320C5517, Texas Instruments). A suite of signal processing and BCI algorithms, including (de)multiplexing, Fast Fourier Transform, power spectral density, principal component analysis, linear discriminant analysis, Bayes rule, and finite state machine was implemented and tested in the DSP...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227165/reward-value-is-encoded-in-primary-somatosensory-cortex-and-can-be-decoded-from-neural-activity-during-performance-of-a-psychophysical-task
#20
David B McNiel, John S Choi, John P Hessburg, Joseph T Francis, David B McNiel, John S Choi, John P Hessburg, Joseph T Francis, John P Hessburg, Joseph T Francis, John S Choi, David B McNiel
Encoding of reward valence has been shown in various brain regions, including deep structures such as the substantia nigra as well as cortical structures such as the orbitofrontal cortex. While the correlation between these signals and reward valence have been shown in aggregated data comprised of many trials, little work has been done investigating the feasibility of decoding reward valence on a single trial basis. Towards this goal, one non-human primate (macaca radiata) was trained to grip and hold a target level of force in order to earn zero, one, two, or three juice rewards...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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