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Human machine interface

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https://www.readbyqxmd.com/read/28931054/reconstruction-of-reaching-movement-trajectories-using-electrocorticographic-signals-in-humans
#1
Omid Talakoub, Cesar Marquez-Chin, Milos R Popovic, Jessie Navarro, Erich T Fonoff, Clement Hamani, Willy Wong
In this study, we used electrocorticographic (ECoG) signals to extract the onset of arm movement as well as the velocity of the hand as a function of time. ECoG recordings were obtained from three individuals while they performed reaching tasks in the left, right and forward directions. The ECoG electrodes were placed over the motor cortex contralateral to the moving arm. Movement onset was detected from gamma activity with near perfect accuracy (> 98%), and a multiple linear regression model was used to predict the trajectory of the reaching task in three-dimensional space with an accuracy exceeding 85%...
2017: PloS One
https://www.readbyqxmd.com/read/28926388/opportunistic-use-of-ct-imaging-for-osteoporosis-screening-and-bone-density-assessment-a-qualitative-systematic-review
#2
REVIEW
Elizabeth B Gausden, Benedict U Nwachukwu, Joseph J Schreiber, Dean G Lorich, Joseph M Lane
BACKGROUND: The purpose of this study was to determine the clinical opportunities for the use of computed tomography (CT) imaging for inferring bone quality and to critically analyze the correlation between dual x-ray absorptiometry (DXA) and diagnostic CT as reported in the literature. METHODS: A systematic review of the MEDLINE database was performed in February 2016 using the PubMed interface. The inclusion criteria were English language, studies performed using living human subjects, studies pertaining to orthopaedics, use of conventional diagnostic CT scans, studies that measured cancellous bone, and studies that reported Hounsfield unit (HU) measurements directly rather than a computed bone mineral density...
September 20, 2017: Journal of Bone and Joint Surgery. American Volume
https://www.readbyqxmd.com/read/28914409/evaluation-of-contactless-human-machine-interface-for-robotic-surgical-training
#3
Fabien Despinoy, Nabil Zemiti, Germain Forestier, Alonso Sánchez, Pierre Jannin, Philippe Poignet
PURPOSE: Teleoperated robotic systems are nowadays routinely used for specific interventions. Benefits of robotic training courses have already been acknowledged by the community since manipulation of such systems requires dedicated training. However, robotic surgical simulators remain expensive and require a dedicated human-machine interface. METHODS: We present a low-cost contactless optical sensor, the Leap Motion, as a novel control device to manipulate the RAVEN-II robot...
September 15, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28872458/piezotronic-effect-tuned-algan-gan-high-electron-mobility-transistor
#4
Chunyan Jiang, Ting Liu, Chunhua Du, Xin Huang, Mengmeng Liu, Zhenfu Zhao, Linxuan Li, Xiong Pu, Junyi Zhai, Weiguo Hu, Zhong Lin Wang
The piezotronic effect is about utilizing strain-induced piezoelectric polarization charges to tune the carrier transportation across the interface/junction. We fabricated a high performance AlGaN/GaN High Electron Mobility Transistor (HEMT), and the transport property was proven to be enhanced by applying an external stress for the first time. The enhanced source-drain current was also observed at any gate voltage and the maximum enhancement of the saturation current was up to 21 % with 15 N applied stress (0...
September 5, 2017: Nanotechnology
https://www.readbyqxmd.com/read/28869537/an-adaptive-classification-strategy-for-reliable-locomotion-mode-recognition
#5
Ming Liu, Fan Zhang, He Helen Huang
Algorithms for locomotion mode recognition (LMR) based on surface electromyography and mechanical sensors have recently been developed and could be used for the neural control of powered prosthetic legs. However, the variations in input signals, caused by physical changes at the sensor interface and human physiological changes, may threaten the reliability of these algorithms. This study aimed to investigate the effectiveness of applying adaptive pattern classifiers for LMR. Three adaptive classifiers, i.e...
September 4, 2017: Sensors
https://www.readbyqxmd.com/read/28851391/surface-emg-signals-in-very-late-stage-of-duchenne-muscular-dystrophy-a-case-study
#6
Joan Lobo-Prat, Mariska M H P Janssen, Bart F J M Koopman, Arno H A Stienen, Imelda J M de Groot
BACKGROUND: Robotic arm supports aim at improving the quality of life for adults with Duchenne muscular dystrophy (DMD) by augmenting their residual functional abilities. A critical component of robotic arm supports is the control interface, as is it responsible for the human-machine interaction. Our previous studies showed the feasibility of using surface electromyography (sEMG) as a control interface to operate robotic arm supports in adults with DMD (22-24 years-old). However, in the biomedical engineering community there is an often raised skepticism on whether adults with DMD at the last stage of their disease have sEMG signals that can be measured and used for control...
August 29, 2017: Journal of Neuroengineering and Rehabilitation
https://www.readbyqxmd.com/read/28837553/data-driven-flexible-backbone-protein-design
#7
Mark G F Sun, Philip M Kim
Protein design remains an important problem in computational structural biology. Current computational protein design methods largely use physics-based methods, which make use of information from a single protein structure. This is despite the fact that multiple structures of many protein folds are now readily available in the PDB. While ensemble protein design methods can use multiple protein structures, they treat each structure independently. Here, we introduce a flexible backbone strategy, FlexiBaL-GP, which learns global protein backbone movements directly from multiple protein structures...
August 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/28832013/model-and-experiments-to-optimize-co-adaptation-in-a-simplified-myoelectric-control-system
#8
Mathilde Couraud, Daniel Cattaert, Florent Paclet, Pierre-Yves Oudeyer, Aymar de Rugy
OBJECTIVE: To compensate for a limb lost in an amputation, myoelectric prostheses use surface electromyography (EMG) from the remaining muscles to control the prosthesis. Despite considerable progress, myoelectric controls remain markedly different from the way we normally control movements, and require intense user adaptation. To overcome this, our goal is to explore concurrent machine co-adaptation techniques that are developed in the field of brain-machine interface, and that are beginning to be used in myoelectric controls...
August 23, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28821649/effector-invariant-movement-encoding-in-the-human-motor-system
#9
Shlomi Haar, Ilan Dinstein, Ilan Shelef, Opher Donchin
Ipsilateral motor areas of cerebral cortex are active during arm movements and even reliably predict movement direction. Is coding similar during ipsilateral and contralateral movements? If so, is it in extrinsic (world-centered) or intrinsic (joint-configuration) coordinates? We addressed these questions by examining the similarity of multi-voxel fMRI patterns in visuomotor cortical regions during unilateral reaching movements with both arms. The results of three complementary analyses revealed that fMRI response patterns were similar across right and left arm movements to identical targets (extrinsic coordinates) in visual cortices, and across movements with equivalent joint-angles (intrinsic coordinates) in motor cortices...
August 16, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/28814043/design-of-a-wearable-interface-for-lightweight-robotic-arm-for-people-with-mobility-impairments
#10
Tommaso Lisini Baldi, Giovanni Spagnoletti, Mihai Dragusanu, Domenico Prattichizzo
Many common activities of daily living like open a door or fill a glass of water, which most of us take for granted, could be an insuperable problem for people who have limited mobility or impairments. For years the unique alternative to overcame this limitation was asking for human help. Nowadays thanks to recent studies and technology developments, having an assistive devices to compensate the loss of mobility is becoming a real opportunity. Off-the-shelf assistive robotic manipulators have the capability to improve the life of people with motor impairments...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813959/-wink-to-grasp-comparing-eye-voice-emg-gesture-control-of-grasp-with-soft-robotic-gloves
#11
Bernardo Noronha, Sabine Dziemian, Giuseppe A Zito, Charalambos Konnaris, A Aldo Faisal
The ability of robotic rehabilitation devices to support paralysed end-users is ultimately limited by the degree to which human-machine-interaction is designed to be effective and efficient in translating user intention into robotic action. Specifically, we evaluate the novel possibility of binocular eye-tracking technology to detect voluntary winks from involuntary blink commands, to establish winks as a novel low-latency control signal to trigger robotic action. By wearing binocular eye-tracking glasses we enable users to directly observe their environment or the actuator and trigger movement actions, without having to interact with a visual display unit or user interface...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813929/soft-brain-machine-interfaces-for-assistive-robotics-a-novel-control-approach
#12
Lucia Schiatti, Jacopo Tessadori, Giacinto Barresi, Leonardo S Mattos, Arash Ajoudani
Robotic systems offer the possibility of improving the life quality of people with severe motor disabilities, enhancing the individual's degree of independence and interaction with the external environment. In this direction, the operator's residual functions must be exploited for the control of the robot movements and the underlying dynamic interaction through intuitive and effective human-robot interfaces. Towards this end, this work aims at exploring the potential of a novel Soft Brain-Machine Interface (BMI), suitable for dynamic execution of remote manipulation tasks for a wide range of patients...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813907/position-and-stiffness-modulation-of-a-wrist-haptic-device-using-myoelectric-interface
#13
Chris Wilson Antuvan, Lorenzo Masia
Modulation of stiffness provides a great deal of advantage in the way humans interact with the environment, and is very important in successfully performing activities of daily living. In the context of human-machine interactions, stiffness control could provide a safer interaction, especially when dealing with unpredictable environment. In this paper we propose a user-modulated stiffness and position control for the wrist flexion/extension degree of freedom while physically coupled to a haptic device. A virtual position tracking experiment in a varying external force field is designed in order to test the performance of the control strategy with and without co-contraction techniques...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813846/closed-loop-emg-informed-model-based-analysis-of-human-musculoskeletal-mechanics-on-rough-terrains
#14
C Varotto, Z Sawacha, L Gizzi, D Farina, M Sartori
This work aims at estimating the musculoskeletal forces acting in the human lower extremity during locomotion on rough terrains. We employ computational models of the human neuro-musculoskeletal system that are informed by multi-modal movement data including foot-ground reaction forces, 3D marker trajectories and lower extremity electromyograms (EMG). Data were recorded from one healthy subject locomoting on rough grounds realized using foam rubber blocks of different heights. Blocks arrangement was randomized across all locomotion trials to prevent adaptation to specific ground morphology...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28800892/peace-at-the-interface-of-human-and-machine
#15
EDITORIAL
James M Hammel
No abstract text is available yet for this article.
June 20, 2017: Journal of Thoracic and Cardiovascular Surgery
https://www.readbyqxmd.com/read/28783130/shear-bond-strength-and-remineralisation-effect-of-a-casein-phosphopeptide-amorphous-calcium-phosphate-modified-glass-ionomer-cement-on-artificial-caries-affected-dentine
#16
Irene Shuping Zhao, May Lei Mei, Zhuo Long Zhou, Michael Francis Burrow, Edward Chin-Man Lo, Chun-Hung Chu
This study investigated the effect of casein phosphopeptide-amorphous calcium phosphate (CPP-ACP)-modified glass ionomer cement (GIC) on shear bond strength (SBS) and remineralisation of artificial "caries-affected" dentine. Human dentine slices were demineralised and allocated to three groups: group 1, conventional GIC; group 2, CPP-ACP-modified GIC; and group 3, resin-modified GIC. The SBS was measured using a universal testing machine (n = 16 per group). Remaining samples (n = 8 per group) were subjected to pH-cycling for 28 days...
August 7, 2017: International Journal of Molecular Sciences
https://www.readbyqxmd.com/read/28782029/eye-motion-triggered-self-powered-mechnosensational-communication-system-using-triboelectric-nanogenerator
#17
Xianjie Pu, Hengyu Guo, Jie Chen, Xue Wang, Yi Xi, Chenguo Hu, Zhong Lin Wang
Mechnosensational human-machine interfaces (HMIs) can greatly extend communication channels between human and external devices in a natural way. The mechnosensational HMIs based on biopotential signals have been developing slowly owing to the low signal-to-noise ratio and poor stability. In eye motions, the corneal-retinal potential caused by hyperpolarization and depolarization is very weak. However, the mechanical micromotion of the skin around the corners of eyes has never been considered as a good trigger signal source...
July 2017: Science Advances
https://www.readbyqxmd.com/read/28769776/affective-aspects-of-perceived-loss-of-control-and-potential-implications-for-brain-computer-interfaces
#18
Sebastian Grissmann, Thorsten O Zander, Josef Faller, Jonas Brönstrup, Augustin Kelava, Klaus Gramann, Peter Gerjets
Most brain-computer interfaces (BCIs) focus on detecting single aspects of user states (e.g., motor imagery) in the electroencephalogram (EEG) in order to use these aspects as control input for external systems. This communication can be effective, but unaccounted mental processes can interfere with signals used for classification and thereby introduce changes in the signal properties which could potentially impede BCI classification performance. To improve BCI performance, we propose deploying an approach that potentially allows to describe different mental states that could influence BCI performance...
2017: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/28769747/movement-related-sensorimotor-high-gamma-activity-mainly-represents-somatosensory-feedback
#19
Seokyun Ryun, June S Kim, Eunjeong Jeon, Chun K Chung
Somatosensation plays pivotal roles in the everyday motor control of humans. During active movement, there exists a prominent high-gamma (HG >50 Hz) power increase in the primary somatosensory cortex (S1), and this provides an important feature in relation to the decoding of movement in a brain-machine interface (BMI). However, one concern of BMI researchers is the inflation of the decoding performance due to the activation of somatosensory feedback, which is not elicited in patients who have lost their sensorimotor function...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28767359/an-eog-based-human-machine-interface-for-wheelchair-control
#20
Qiyun Huang, Shenghong He, Qihong Wang, Zhenghui Gu, Nengneng Peng, Kai Li, Yuandong Zhang, Ming Shao, Yuanqing Li
OBJECTIVE: Non-manual human-machine interfaces (HMIs) have been studied for wheelchair control with the aim of helping severely paralyzed individuals regain some mobility. The challenge is to rapidly, accurately and sufficiently produce control commands, such as left and right turns, forward and backward motions, acceleration, deceleration, and stopping. In this paper, a novel electrooculogram (EOG)-based HMI is proposed for wheelchair control. METHODS: Thirteen flashing buttons are presented in the graphical user interface (GUI), and each of the buttons corresponds to a command...
July 27, 2017: IEEE Transactions on Bio-medical Engineering
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