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https://www.readbyqxmd.com/read/28227623/hand-motion-recognition-based-on-forearm-deformation-measured-with-a-distance-sensor-array
#1
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
#2
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
#3
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
#4
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
https://www.readbyqxmd.com/read/28227092/eeg-based-single-trial-detection-of-errors-from-multiple-error-related-brain-activity
#5
Guofa Shou, Lei Ding, Guofa Shou, Lei Ding, 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/28227091/hybrid-bci-approach-to-control-an-artificial-tibio-femoral-joint
#6
Luis Mercado, Angel Rodriguez-Linan, Luis M Torres-Trevino, G Quiroz, Luis Mercado, Angel Rodriguez-Linan, Luis M Torres-Trevino, G Quiroz, 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/28226823/properties-of-primary-motor-cortical-local-field-potentials-in-the-leg-and-trunk-representations-during-arm-movements
#7
Adil A Tobaa, Matthew D Best, Karthikeyan Balasubramanian, Kazutaka Takahashi, Nicholas G Hatsopoulos, Adil A Tobaa, Matthew D Best, Karthikeyan Balasubramanian, Kazutaka Takahashi, Nicholas G Hatsopoulos, 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/28226798/decoding-speech-using-the-timing-of-neural-signal-modulation
#8
Werner Jiang, Tejaswy Pailla, Benjamin Dichter, Edward F Chang, Vikash Gilja, Werner Jiang, Tejaswy Pailla, Benjamin Dichter, Edward F Chang, Vikash Gilja, Vikash Gilja, Werner Jiang, Tejaswy Pailla, Benjamin Dichter, Edward F Chang
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/28226795/soft-drink-effects-on-sensorimotor-rhythm-brain-computer-interface-performance-and-resting-state-spectral-power
#9
John Mundahl, Jianjun Meng, Jeffrey He, Bin He, John Mundahl, Jianjun Meng, Jeffrey He, Bin He, Jeffrey He, Jianjun Meng, John Mundahl, 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/28226615/support-vectors-machine-classification-of-surface-electromyography-for-non-invasive-naturally-controlled-hand-prostheses
#10
Karina O A Moura, Gabriela W Favieiro, Alexandre Balbinot, Karina O A Moura, Gabriela W Favieiro, Alexandre Balbinot, 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/28224783/a-highly-stretchable-potentiometric-ph-sensor-fabricated-via-direct-laser-writing-machining-of-carbon-polyaniline-composite
#11
Rahim Rahimi, Manuel Ochoa, Ali Tamayol, Shahla Khalili, Ali Khademhosseini, Babak Ziaie
Development of stretchable sensors has recently attracted considerable attention. These sensors have been used in wearable and robotics applications such as personalized health-monitoring, motion detection, and human-machine interfaces. Herein, we report on a highly stretchable electrochemical pH sensor for wearable point-of-care applications that consists of a pH sensitive working and a liquid-junction-free reference electrode, in which the stretchable conductive interconnections are fabricated by laser carbonizing and micromachining of a polyimide sheet bonded to an Ecoflex substrate...
February 22, 2017: ACS Applied Materials & Interfaces
https://www.readbyqxmd.com/read/28218797/ultrasensitive-2d-zno-piezotronic-transistor-array-for-high-resolution-tactile-imaging
#12
Shuhai Liu, Longfei Wang, Xiaolong Feng, Zheng Wang, Qi Xu, Suo Bai, Yong Qin, Zhong Lin Wang
In this paper, a new kind of 2D piezotronic transistor (PT) with the highest sensitivity till date has been designed and demonstrated, and the 2DPT array with ultrahigh spatial resolution has been developed through assembling ZnO nanoplatelets into ordered nanoplatelet array. As active sensors by directly converting applied mechanical actuations into electrical control signals without applying gate voltage, the ZnO 2DPT array has a great advantage as a fundamental component of piezotronics. The 2DPT array paves the way for a large-scale and integrated production of two terminal vertical transistors, which will contribute to its application in many fields such as human-machine interfacing, smart sensor, and processor systems...
February 20, 2017: Advanced Materials
https://www.readbyqxmd.com/read/28185229/the-time-course-of-intentional-binding
#13
Miriam Ruess, Roland Thomaschke, Andrea Kiesel
Stimuli caused by actions (i.e., effects) are perceived earlier than stimuli not caused by actions. This phenomenon is termed intentional binding (IB) and serves as implicit measure of sense of agency. We investigated the influence of effect delay and temporal predictability on IB, operationalized as the bias to perceive the effect as temporally shifted toward the action. For short delays, IB increased with delay (Experiment 1: 200 ms, 250 ms, 300 ms). The initial increase declined for longer delays (Experiment 2: 100 ms, 250 ms, 400 ms)...
February 9, 2017: Attention, Perception & Psychophysics
https://www.readbyqxmd.com/read/28152485/soft-conformal-bioelectronics-for-a-wireless-human-wheelchair-interface
#14
Saswat Mishra, James J S Norton, Yongkuk Lee, Dong Sup Lee, Nicolas Agee, Yanfei Chen, Youngjae Chun, Woon-Hong Yeo
There are more than 3 million people in the world whose mobility relies on wheelchairs. Recent advancement on engineering technology enables more intuitive, easy-to-use rehabilitation systems. A human-machine interface that uses non-invasive, electrophysiological signals can allow a systematic interaction between human and devices; for example, eye movement-based wheelchair control. However, the existing machine-interface platforms are obtrusive, uncomfortable, and often cause skin irritations as they require a metal electrode affixed to the skin with a gel and acrylic pad...
May 15, 2017: Biosensors & Bioelectronics
https://www.readbyqxmd.com/read/28141525/e-o-a-brain-controlled-lower-limb-exoskeleton-for-rhesus-macaques
#15
Tristan Vouga, Katie Zhuang, Jeremy Olivier, Mikhail Lebedev, Miguel Nicolelis, Mohamed Bouri, Hannes Bleuler
Recent advances in the field of brain-machine interfaces (BMIs) have demonstrated enormous potential to shape the future of rehabilitation and prosthetic devices. Here, a lower-limb exoskeleton controlled by the intracortical activity of an awake, behaving rhesus macaque is presented as a proof-of-concept for a locomotor BMI. A detailed description of the mechanical device, including its innovative features and first experimental results, is provided. During operation, BMI-decoded position and velocity are directly mapped onto the bipedal exoskeleton's motions, which then move the monkey's legs as the monkey remains physically passive...
January 26, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28138529/epidermal-mechano-acoustic-sensing-electronics-for-cardiovascular-diagnostics-and-human-machine-interfaces
#16
Yuhao Liu, James J S Norton, Raza Qazi, Zhanan Zou, Kaitlyn R Ammann, Hank Liu, Lingqing Yan, Phat L Tran, Kyung-In Jang, Jung Woo Lee, Douglas Zhang, Kristopher A Kilian, Sung Hee Jung, Timothy Bretl, Jianliang Xiao, Marvin J Slepian, Yonggang Huang, Jae-Woong Jeong, John A Rogers
Physiological mechano-acoustic signals, often with frequencies and intensities that are beyond those associated with the audible range, provide information of great clinical utility. Stethoscopes and digital accelerometers in conventional packages can capture some relevant data, but neither is suitable for use in a continuous, wearable mode, and both have shortcomings associated with mechanical transduction of signals through the skin. We report a soft, conformal class of device configured specifically for mechano-acoustic recording from the skin, capable of being used on nearly any part of the body, in forms that maximize detectable signals and allow for multimodal operation, such as electrophysiological recording...
November 2016: Science Advances
https://www.readbyqxmd.com/read/28120886/soft-nanocomposite-based-multi-point-multi-directional-strain-mapping-sensor-using-anisotropic-electrical-impedance-tomography
#17
Hyosang Lee, Donguk Kwon, Haedo Cho, Inkyu Park, Jung Kim
The practical utilization of soft nanocomposites as a strain mapping sensor in tactile sensors and artificial skins requires robustness for various contact conditions as well as low-cost fabrication process for large three dimensional surfaces. In this work, we propose a multi-point and multi-directional strain mapping sensor based on multiwall carbon nanotube (MWCNT)-silicone elastomer nanocomposites and anisotropic electrical impedance tomography (aEIT). Based on the anisotropic resistivity of the sensor, aEIT technique can reconstruct anisotropic resistivity distributions using electrodes around the sensor boundary...
January 25, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28115645/evaluating-the-toxicity-of-cigarette-whole-smoke-solutions-in-an-air-liquid-interface-human-in-vitro-airway-tissue-model
#18
Xuefei Cao, Levan Muskhelishvili, John Latendresse, Patricia Richter, Robert H Heflich
Exposure to cigarette smoke causes a multitude of pathological changes leading to tissue damage and disease. Quantifying such changes in highly differentiated in vitro human tissue models may assist in evaluating the toxicity of tobacco products. In this methods development study, well-differentiated human air-liquid-interface (ALI) in vitro airway tissue models were used to assess toxicological endpoints relevant to tobacco smoke exposure. Whole mainstream smoke solutions (WSSs) were prepared from two commercial cigarettes (R60 and S60) that differ in smoke constituents when machine-smoked under International Organization for Standardization (ISO) conditions...
January 23, 2017: Toxicological Sciences: An Official Journal of the Society of Toxicology
https://www.readbyqxmd.com/read/28113511/a-novel-emg-interface-for-individuals-with-tetraplegia-to-pilot-robot-hand-grasping
#19
Wafa Tigra, Benjamin Navarro, Andrea Cherubini, Xavier Gorron, Anthony Gelis, Charles Fattal, David Guiraud, Christine Azevedo-Coste
This article introduces a new human-machine interface for individuals with tetraplegia. We investigated the feasibility of piloting an assistive device by processing supra-lesional muscle responses online. The ability to voluntarily contract a set of selected muscles was assessed in five spinal cord-injured subjects through electromyographic (EMG) analysis. Two subjects were also asked to use the EMG interface to control palmar and lateral grasping of a robot hand. The use of different muscles and control modalities was also assessed...
September 14, 2016: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28113323/brain-machine-interface-control-algorithms
#20
Maryam M Shanechi
Motor brain-machine interfaces (BMI) allow subjects to control external devices by modulating their neural activity. BMIs record the neural activity, use a mathematical algorithm to estimate the subject's intended movement, actuate an external device, and provide visual feedback of the generated movement to the subject. A critical component of a BMI system is the control algorithm, termed decoder. Significant progress has been made in the design of BMI decoders in recent years resulting in proficient control in non-human primates and humans...
December 14, 2016: IEEE Transactions on Neural Systems and Rehabilitation Engineering
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