认知训练及脑波检测系统的设计与实现
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摘要
系统科学地训练方法能够有效改善认知功能缺陷,认知训练系统是一个为提高有认知缺陷障碍患者的认知能力而开发的系统。随着最近几年脑机接口技术的发展,将脑波技术应用到常规的认知训练系统取得可观成效,通过脑机接口BCI技术可以更加直观地检测、评估患者的认知能力,有针对性地训练受试者的认知弱项,从而更加有效地帮助认知障碍儿童。该文通过结合脑机接口技术,开发认知训练及其脑波检测系统,在进行认知训练项目时准确、实时获取脑波参数,直观反馈受试者的大脑运行状况,并根据脑波参数为受试者开出针对性的训练方案,更有效的提高认知能力障碍患者的认知能力。
Systematic scientific training methods can effectively improve the cognitive deficits. The cognitive training system is a system developed to improve the cognitive ability of patients with cognitive impairment. With the development of brain-computer interface technology in recent years, the application of brain wave technology to conventional cognitive training systems has very good results.Through the brain-computer interface BCI technology, the cognitive ability of patients can be more intuitively detected and evaluated.Targeted training of the subject's cognitive weaknesses helps children with cognitive impairments more effectively. This paper combines brain-computer interface technology to develop cognitive training and brainwave detection systems. It can acquire brainwave parameters accurately and in real time during cognitive training projects, intuitively feedback the subject's brain operating conditions, and according to the brain The wave parameters for the subjects out of targeted training programs, more effective to improve the cognitive ability of patients with cognitive impairment.
Systematic scientific training methods can effectively improve the cognitive deficits. The cognitive training system is a system developed to improve the cognitive ability of patients with cognitive impairment. With the development of brain-computer interface technology in recent years, the application of brain wave technology to conventional cognitive training systems has very good results.Through the brain-computer interface BCI technology, the cognitive ability of patients can be more intuitively detected and evaluated.Targeted training of the subject's cognitive weaknesses helps children with cognitive impairments more effectively. This paper combines brain-computer interface technology to develop cognitive training and brainwave detection systems. It can acquire brainwave parameters accurately and in real time during cognitive training projects, intuitively feedback the subject's brain operating conditions, and according to the brain The wave parameters for the subjects out of targeted training programs, more effective to improve the cognitive ability of patients with cognitive impairment.
引文
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[2]Birbaumer N,Ghanayim N,Hinterberger T,et al.A spelling device for the paralysed[J].Nature,1999,398(6725):297-298.
[3]Nicolelis M A L.Brain-machine interfaces to restore motor function and probe neural circuits[J].Nature Reviews Neuroscience,2003,4(5):417-422.
[4]Pfurtscheller G,Müller G R,Pfurtscheller J,et al.‘Thought’-control of functional electrical stimulation to restore hand grasp in a patient with tetraplegia[J].Neuroscience letters,2003,351(1):33-36.
[5]Maye A,Zhang D,Wang Y,et al.Multimodal brain-computer interfaces[J].Tsinghua Science&Technology,2011,16(2):133-139.
[6]程明,任宇鹏,高小榕,等.脑电信号控制康复机器人的关键技术[J].机器人技术与应用,2003(4):45-48.
[7]王思.猴子意念控制机械手[N].文汇日报,2012-02-22(003).
[8]叶建军.认知矫正治疗对慢性精神分裂症患者临床症状和社会功能的影响[J].养生保健指南:医药研究,2015(13):59.
[9]谢波,康德智,郑建民,等.计算机辅助认知障碍康复训练系统联合多奈哌齐治疗脑外伤认知障碍的临床研究[J].临床神经外科杂志,2011,8(3):150-152.
[10]陈丽函,赵志红,陈树标,等.言语认知训练系统对脑卒中失语症患者早期康复治疗的应用研究[J].汕头大学医学院学报,2014,4:017.