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Design and development of an affordable multi-mode small animal ventilator. [PDF]

Sci Rep
Dzierzawski P, Flamm B, Hegele V, Spassov S, Wenzel C, Schumann S, Lozano-Zahonero S.   +6 more
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Comparative Analysis of Wearable A-Mode Ultrasound and sEMG for Muscle-Computer Interface

IEEE Transactions on Biomedical Engineering, 2020
While surface electromyography (sEMG) is still dominant in the field of muscle-computer interface, ultrasound (US) sensing has been regarded as a promising alternative to sEMG, owing to its ability to precisely monitor muscle deformations. Among different US modalities, A-mode US is more compact and cost-effective for wearable applications against its ...
Xingchen Yang, Jipeng Yan, Honghai Liu
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Efficient Mode Based Computational Approach for Jointed Structures: Joint Interface Modes

AIAA Journal, 2009
The mechanical response of complex elastic structures that are assembled of substructures is significantly influenced by joints such as bolted joints, spot-welded seams, adhesive-glued joints, and others. In this respect, computational techniques, which are based on the direct finite element method or on classical modal reduction procedures ...
Wolfgang Witteveen, Hans Irschik
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A Music Playback System based on Multi-mode Hybrid Brain-computer Interface

2020 IEEE 5th International Conference on Signal and Image Processing (ICSIP), 2020
This paper aims at the problem of designing a music playback system based on multi-mode hybrid Brain-Computer Interface (hBCI), which provides a way of the entertainment for stroke patients to improve the mental living standard. The asynchronous mode by using Alpha waves is applied to the procedure of the music playback system design, which allows ...
Zhou Tianyue, Yang Yuna, Li Mingliang, Gao Nuo   +3 more
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Sinusoidal Signal Assisted Multivariate Empirical Mode Decomposition for Brain–Computer Interfaces

IEEE Journal of Biomedical and Health Informatics, 2018
A brain-computer interface (BCI) is a communication approach that permits cerebral activity to control computers or external devices. Brain electrical activity recorded with electroencephalography (EEG) is most commonly used for BCI. Noise-assisted multivariate empirical mode decomposition (NA-MEMD) is a data-driven time-frequency analysis method that ...
Sheng Ge, Hai-Xian Wang, Wen-Ming Zheng, Yan-Hua Shi, Rui-Min Wang, Pan Lin, Jun-Feng Gao, Gao-Peng Sun, Keiji Iramina, Yuan-Kui Yang, Yue Leng   +10 more
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Empirical mode decomposition of EEG signals for brain computer interface

SoutheastCon 2017, 2017
Motor imagery (MI) based brain-computer interface (BCI) systems show potential applications in neural rehabilitation. In MI-BCI systems, the brain signals from movement imagination, without actual movement of limbs, can be acquired, processed and characterized to translate into actionable signals that can be used to activate external devices.
MD Erfanul Alam, Biswanath Samanta
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Idle Mode Detection for Somatosensory-Based Brain-Computer Interface

2015
Objective. Idle mode detection is a vital problem to be solved in self-paced asynchronized BCI, because patients need to control the BCI system whenever he or she wants, rather than output commands according to the system cues which is essentially different between self-paced and synchronized BCIs.
Xiaokang Shu, Lin Yao, Xinjun Sheng, Dingguo Zhang, Xiangyang Zhu   +4 more
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The challenge of analog mix-mode integrated circuit design for brain computer interface

Extended Abstracts of the 2003 International Conference on Solid State Devices and Materials, 2003
The requirement of IC for the brain computer interface (BCI) is discussed. An analog-digital mixmode IC used for cochlear implant is designed using CMOS process. Index Terms — low power IC, brain computer interface, brain machine interface.
Zhihua Wang, Chun Zhang, Dongmei Li
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Study on the Interactive Mode of Eye Control Mode in Human–Computer Interface

2019
The ergonomic experiment of human-computer interaction mode of eye movement control is carried out for efficient and precise interaction requirements of the human-machine interface. Based on eye movement behavior, operational performance and subjective feeling data, the advantages and disadvantages of eye movement control behaviors such as eye gaze and
Yingwei Zhou, Ning Li, Bei Zhang, Tuoyang Zhou, Kaili Yin, Jinshou Shi   +5 more
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