Continuous 2D trajectory decoding from attempted movement: across-session performance in able-bodied and feasibility in a spinal cord injured participant

解码方法 物理医学与康复 运动(音乐) 脊髓损伤 任务(项目管理) 心理学 计算机科学 会话(web分析) 脊髓 神经科学 医学 哲学 电信 管理 万维网 经济 美学
作者
Hannah Pulferer,Brynja Ásgeirsdóttir,Valeria Mondini,Andreea Ioana Sburlea,Gernot Müller-Putz
出处
期刊:Journal of Neural Engineering [IOP Publishing]
卷期号:19 (3): 036005-036005 被引量:17
标识
DOI:10.1088/1741-2552/ac689f
摘要

Abstract Objective . In people with a cervical spinal cord injury (SCI) or degenerative diseases leading to limited motor function, restoration of upper limb movement has been a goal of the brain-computer interface field for decades. Recently, research from our group investigated non-invasive and real-time decoding of continuous movement in able-bodied participants from low-frequency brain signals during a target-tracking task. To advance our setup towards motor-impaired end users, we consequently chose a new paradigm based on attempted movement. Approach . Here, we present the results of two studies. During the first study, data of ten able-bodied participants completing a target-tracking/shape-tracing task on-screen were investigated in terms of improvements in decoding performance due to user training. In a second study, a spinal cord injured participant underwent the same tasks. To investigate the merit of employing attempted movement in end users with SCI, data of the spinal cord injured participant were recorded twice; once within an observation-only condition, and once while simultaneously attempting movement. Main results . We observed mean correlations well above chance level for continuous motor decoding based on attempted movement in able-bodied participants. Additionally, no global improvement over three sessions within five days, both in sensor and in source space, could be observed across all participants and movement parameters. In the participant with SCI, decoding performance well above chance was found. Significance . No presence of a learning effect in continuous attempted movement decoding in able-bodied participants could be observed. In contrast, non-significantly varying decoding patterns may promote the use of source space decoding in terms of generalized decoders utilizing transfer learning. Furthermore, above-chance correlations for attempted movement decoding ranging between those of observation only and executed movement were seen in one spinal cord injured participant, suggesting attempted movement decoding as a possible link between feasibility studies in able-bodied and actual applications in motor impaired end users.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
1秒前
3秒前
Jasper应助Bonnenult采纳,获得10
4秒前
4秒前
Owen应助Qianwy采纳,获得10
5秒前
默默的板栗完成签到 ,获得积分10
5秒前
白杨发布了新的文献求助10
7秒前
Akim应助曹志毅采纳,获得10
7秒前
泠月完成签到,获得积分10
8秒前
玛卡巴卡完成签到 ,获得积分10
9秒前
自由灵安发布了新的文献求助10
10秒前
半夏发布了新的文献求助10
10秒前
JC完成签到,获得积分10
11秒前
14秒前
14秒前
ding应助拂晨柳絮采纳,获得10
16秒前
16秒前
科目三应助顺心的匪采纳,获得10
16秒前
聪明蛋完成签到 ,获得积分10
18秒前
曹志毅发布了新的文献求助10
18秒前
小古发布了新的文献求助10
18秒前
bkagyin应助姚yao采纳,获得10
20秒前
ming2026完成签到,获得积分10
21秒前
21秒前
远看寒山完成签到,获得积分10
22秒前
雪山飞龙发布了新的文献求助10
22秒前
JamesPei应助自由灵安采纳,获得10
23秒前
曹志毅完成签到,获得积分10
24秒前
杨xh关注了科研通微信公众号
24秒前
细腻的书琴完成签到 ,获得积分10
25秒前
Hello应助远山千霖采纳,获得10
25秒前
小陈小陈完成签到,获得积分10
26秒前
27秒前
封疆大吏发布了新的文献求助10
28秒前
。。完成签到,获得积分10
28秒前
池皓泽完成签到 ,获得积分10
29秒前
31秒前
31秒前
柳叶小弯刀完成签到,获得积分10
33秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
48V Low-voltage Power Distribution Network (PDN) Architecture Industry Report, 2024 800
ズームレンズの光学設計に関する研究 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7300083
求助须知:如何正确求助?哪些是违规求助? 8918453
关于积分的说明 18887358
捐赠科研通 6965054
什么是DOI,文献DOI怎么找? 3211029
关于科研通互助平台的介绍 2380338
邀请新用户注册赠送积分活动 2187769