SmartRolling: A human–machine interface for wheelchair control using EEG and smart sensing techniques     

《Information processing & management》2023,60(3):103262

Smart wheelchairs based on brain–computer interface (BCI) have been widely utilized recently to address certain mobility problems for people with disability. In this paper, we present SmartRolling, an intuitive human–machine interaction approach for the direct control of robotic wheelchair that jointly leverages EEG signals and motion sensing techniques. Specifically, SmartRolling offers two wheelchair-actuation modes for users with different physical conditions: (1) head motion only — people who are severely disabled but able to do basic tasks using eyes and head, and (2) head and hands motion — in addition to type 1, people who can use functioning hands/arms for extra tasks. The system issues operation commands by recognizing different EEG patterns elicited by motor execution (ME) tasks including eye blink, jaw clench, and fist open/close, while at the same time estimates users’ steering intentions based on their facing direction by leveraging inertial measurements and computer vision techniques. The experiment results demonstrate that the proposed system is robust and effective to meets the individual’s needs and has great potential to promote better health.  相似文献   

Synthesized Multi-Method to Detect and Classify Epileptic Waves in EEG     

万柏坤  毕卡诗  綦宏志  赵丽 《天津大学学报(英文版)》2004,10(4):247-251

In order to sufficiently exploit the advantages of different signal processing methods, such as wavelet transformation (WT), artificial neural networks (ANN) and expert rules (ER), a synthesized multi-method was introduced to detect and classify the epileptic waves in the EEG data. Using this method, at first, the epileptic waves were detected from pre-processed EEG data at different scales by WT, then the characteristic parameters of the chosen candidates of epileptic waves were extracted and sent into the well-trained ANN to identify and classify the true epileptic waves,and at last, the detected epileptic waves were certificated by ER. The statistic results of detection and classification show that, the synthesized multi-method has a good capacity to extract signal features and to shield the signals from the random noise. This method is especially fit for the analysis of the biomedical signals in biomedical engineering which are usually non-placid and nonlinear.  相似文献   

Differences of math anxiety groups based on two measurements,MASS and EEG     

Sang S. Choi-Koh  Byeong G. Ryoo 《教育心理学》2019,39(5):659-677

This article investigated how mathematic anxiety (MA) of Korean middle school students could be reduced by comparing analytically their cognitive neuroscience and questionnaire results. We developed a three-hour Complex Treatment Program (CTP) on quadratic functions for the study. In the summer of 2016, we collected data of the pre and post MA questionnaires by Mathematics Anxiety Scale for Students (MASS), the percent of correct answers (PCA) and reaction time (RT) by E-prime program, and also brain-imaging data of the event related potentials (ERP) by Electroencephalograph (EEG) using computer-based functional F-G model. The result indicated the CTP to be effective with the group with higher math anxiety and the group with higher achievement respectively. The MASS result was verified with the better performance of PCA on type G, which was measured by E-prime program. Some interesting patterns were revealed on brain-imaging data by EEG, indicating more brain activities with the MA groups.  相似文献   

Adding immersive virtual reality to a science lab simulation causes more presence but less learning     

《Learning and Instruction》2019

Virtual reality (VR) is predicted to create a paradigm shift in education and training, but there is little empirical evidence of its educational value. The main objectives of this study were to determine the consequences of adding immersive VR to virtual learning simulations, and to investigate whether the principles of multimedia learning generalize to immersive VR. Furthermore, electroencephalogram (EEG) was used to obtain a direct measure of cognitive processing during learning. A sample of 52 university students participated in a 2 × 2 experimental cross-panel design wherein students learned from a science simulation via a desktop display (PC) or a head-mounted display (VR); and the simulations contained on-screen text or on-screen text with narration. Across both text versions, students reported being more present in the VR condition (d = 1.30); but they learned less (d = 0.80), and had significantly higher cognitive load based on the EEG measure (d = 0.59). In spite of its motivating properties (as reflected in presence ratings), learning science in VR may overload and distract the learner (as reflected in EEG measures of cognitive load), resulting in less opportunity to build learning outcomes (as reflected in poorer learning outcome test performance).  相似文献   

Sleep quality in athletes under normobaric hypoxia equivalent to 1500 m altitude: A polysomnographic study     

《European Journal of Sport Science》2013,13(3):191-198

Abstract

In the present study, we evaluated the duration of slow-wave sleep (Stage 3 and 4) and total delta power (< 3Hz) in all-night non-rapid eye movement (NREM) sleep electroencephalograms (EEGs) of athletes during normobaric hypoxia at simulated altitudes of 1500 m. Seven male athletes slept for two nights in a normoxic condition and one night in an hypoxic condition equivalent to an altitude of 1500 m. Whole-night polysomnographic recordings, thoracic and abdominal motion, nasal and oral airflow, and blood oxygen saturation (SpO₂) were recorded. Visual sleep stage scoring and fast Fourier transformation analyses of EEG were performed using 30-s epochs. Mean and minimum SpO₂ decreased significantly during sleep in the hypoxic condition. Between groups, changes in heart rate, respiratory disturbance measures including apnoea and hypopnoea, slow-wave sleep and total delta power of the all-night NREM sleep EEG were small and non-significant for the hypoxic condition_. However, individual difference in time at an SpO₂ below 90% were large in the hypoxic condition, and both slow-wave sleep and total delta power of all-night NREM sleep EEG decreased in three participants who spent a prolonged time below 90% SpO₂. The present results suggest that monitoring time below 90% SpO₂ is recommended when studying individuals' living-high schedule even under hypoxic conditions equivalent to an altitude of 1500 m.  相似文献   

优秀游泳运动员的脑波涨落图特征   总被引：1，自引：0，他引：1  

南开 《天津体育学院学报》2009,24(3):274-276

研究目的:研究游泳运动员的腩波涨落图的特征,以探讨游泳运动与运动员脑波涨落图特征的相关性.研究方法:采用实验研究法,数理统计法,运用脑波涨落网技术,采集国家级游泳运动员脑电信息与对照组比较.结果:游泳运动员的脑涨落图S谱线中S1,系、S11系与S13系多项指标有特异性变化.结论:游泳运动员脑内某些神经递质含量与对照不同,表现为抑制水平较低.这些特征可能是由于游泳运动的训练环境、呼吸方式及体位的特殊性造成的.  相似文献   

改变音乐节拍对脑电功率谱变异的影响及其心理意义     

张德乾  刘健  林梦 《绵阳师范学院学报》2014,(2):56-62

目的旨在探索音乐节拍对大脑活动主要区域信息加工过程中的脑电波谱变异.方法采用自编的音乐播放软件给被试分别播放(42、65、120 BPM)3种音乐节拍的65 dB音乐,每种节拍曲目播放5 min,并采集16脑区的脑电信号进行离线分析.结果 (1)与安静状态相比播放音乐时被试在7个波段的脑电波谱功率显著降低;播放音乐时脑电波谱重心频率向低频段移动,表明疲劳程度增加;(2)改变音乐节拍显著降低α1波频段的功率而增加α2波频段的功率;(3)从频段功率占比看,加快音乐节拍节奏增加高频段脑电波活动,降低节拍节奏增加低频段活动而降低高频段脑电波活动.结论音乐节拍显著影响脑电波谱功率变异,65 BPM的中等节奏音乐有利于注意力集中和放松休息,120 BPM快节奏音乐有利于激活唤醒水平,加快运动,改变音乐节拍增加注意负荷,消耗更多的心理加工资源,其意义有待于进一步探索.  相似文献   

运动想象机制研究     

刘燕  穆振东 《科技广场》2011,(1):38-41

运动想象已被广泛地应用在BCI系统上。传统对脑电信号分析主要集中在特征提取和分类上,本文分别从左右想象脑电信号的频域、时域和脑地形图上进行分析,从而获取左右想象脑电信号的特征。  相似文献   

上海女子气手枪运动员击发和收枪时脑电相干性分析          下载免费PDF全文

安燕  郑樊慧 《体育科研》2016,(6):83-87

通过脑电相干性分析,探讨运动员射击中击发和收枪两种不同运动表现时各脑区间的沟通差异。采用64导脑电测试系统记录12名女子气手枪运动员击发与收枪时的脑电,将两种不同表现击发前的脑电分为4个时间段（每段1 000 ms）,分别计算低-alpha频段（8~10 Hz）、高-alpha频段（11~13 Hz）、低-beta频段（14~22 Hz ）中前额区（Fz）与其他脑区间(额区、中央区、顶区、枕区和颞区)的相干性。结果发现,在低-alpha频段,与收枪时相比,运动员击发时大脑信息沟通较少,表明击发时运动员只需要较低的皮层唤醒和注意努力。左脑脑波相干性显著低于右脑,表明大脑半球不同功能体现在了运动员射击过程中,运动员射击时右半球交流多,注意力转移以视觉空间为主。不同表现过程中不同时间点显示了不同高低的脑波相干性,故推断稳定的大脑皮质活动与较好的运动表现有关。  相似文献   

EEG闪光刺激诱发试验对运动员神经疲劳评定的研究   总被引：1，自引：0，他引：1  

张振民  李风素  郭丹华 《体育科学》1995,(6)

本文常规EEG诊断运动疲劳的阳性率为54.54％,应用间歇性节律闪光刺激诱发试验同步记录的EEG结果表明:有运动疲劳的运动员组Alpha波幅下降29％(P<0.05),随着闪光刺激频率的加快产生节律同化的频度逐渐下降、无节律同化的阳性率上升到72.73％(P<0.001),潜伏期和恢复期时间不正常的阳性率分别为74.56％和85.46％(G<0.001),比常规EEG诊断运动疲劳的阳性率明显高。  相似文献