{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,8]],"date-time":"2025-11-08T12:17:59Z","timestamp":1762604279942,"version":"build-2065373602"},"reference-count":29,"publisher":"MDPI AG","issue":"16","license":[{"start":{"date-parts":[[2021,8,4]],"date-time":"2021-08-04T00:00:00Z","timestamp":1628035200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["31771069","31800824"],"award-info":[{"award-number":["31771069","31800824"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100011933","name":"Chongqing Science and Technology Foundation","doi-asserted-by":"publisher","award":["cstc2018jcyjAX0390"],"award-info":[{"award-number":["cstc2018jcyjAX0390"]}],"id":[{"id":"10.13039\/501100011933","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Action observation (AO)-based brain-computer interface (BCI) is an important technology in stroke rehabilitation training. It has the advantage of simultaneously inducing steady-state motion visual evoked potential (SSMVEP) and activating sensorimotor rhythm. Moreover, SSMVEP could be utilized to perform classification. However, SSMVEP is composed of complex modulation frequencies. Traditional canonical correlation analysis (CCA) suffers from poor recognition performance in identifying those modulation frequencies at short stimulus duration. To address this issue, task-related component analysis (TRCA) was utilized to deal with SSMVEP for the first time. An interesting phenomenon was found: different modulated frequencies in SSMVEP distributed in different task-related components. On this basis, a multi-component TRCA method was proposed. All the significant task-related components were utilized to construct multiple spatial filters to enhance the detection of SSMVEP. Further, a combination of TRCA and CCA was proposed to utilize both advantages. Results showed that the accuracies using the proposed methods were significant higher than that using CCA at all window lengths and significantly higher than that using ensemble-TRCA at short window lengths (\u22642 s). Therefore, the proposed methods further validate the induced modulation frequencies and will speed up the application of the AO-based BCI in rehabilitation.<\/jats:p>","DOI":"10.3390\/s21165269","type":"journal-article","created":{"date-parts":[[2021,8,4]],"date-time":"2021-08-04T21:44:24Z","timestamp":1628113464000},"page":"5269","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Enhancing Detection of SSMVEP Induced by Action Observation Stimuli Based on Task-Related Component Analysis"],"prefix":"10.3390","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0827-6605","authenticated-orcid":false,"given":"Xin","family":"Zhang","sequence":"first","affiliation":[{"name":"Bioengineering College, Chongqing University, Chongqing 400044, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wensheng","family":"Hou","sequence":"additional","affiliation":[{"name":"Bioengineering College, Chongqing University, Chongqing 400044, China"},{"name":"Key Laboratory of Biorheological Science and Technology, Ministry of Education, Bioengineering College, Chongqing University, Chongqing 400044, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaoying","family":"Wu","sequence":"additional","affiliation":[{"name":"Bioengineering College, Chongqing University, Chongqing 400044, China"},{"name":"Key Laboratory of Biorheological Science and Technology, Ministry of Education, Bioengineering College, Chongqing University, Chongqing 400044, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lin","family":"Chen","sequence":"additional","affiliation":[{"name":"Bioengineering College, Chongqing University, Chongqing 400044, China"},{"name":"Key Laboratory of Biorheological Science and Technology, Ministry of Education, Bioengineering College, Chongqing University, Chongqing 400044, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ning","family":"Jiang","sequence":"additional","affiliation":[{"name":"The Department of Systems Design Engineering, University of Waterloo, Waterloo, ON N2L3G1, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,8,4]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1016\/j.pmr.2009.07.003","article-title":"Neural Interface Technology for Rehabilitation: Exploiting and Promoting Neuroplasticity","volume":"21","author":"Wang","year":"2010","journal-title":"Phys. Med. Rehabil. Clin. N. Am."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"655","DOI":"10.1152\/physrev.00009.2013","article-title":"Cortical mechanisms underlying the organization of goal-directed actions and mirror neuron-based action understanding","volume":"94","author":"Rizzolatti","year":"2014","journal-title":"Physiol. Rev."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1016\/j.neures.2017.10.002","article-title":"Action observation facilitates motor cortical activity in patients with stroke and hemiplegia","volume":"133","author":"Tani","year":"2018","journal-title":"Neurosci. Res."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1407","DOI":"10.1109\/TNSRE.2019.2919194","article-title":"Action Observation of Own Hand Movement Enhances Event-Related Desynchronization","volume":"27","author":"Nagai","year":"2019","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"164","DOI":"10.1109\/TRE.2000.847807","article-title":"Brain-computer interface technology: A review of the first international meeting","volume":"8","author":"Wolpaw","year":"2000","journal-title":"IEEE Trans. Rehabil. Eng."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"139","DOI":"10.5626\/JCSE.2013.7.2.139","article-title":"Brain-computer interface in stroke rehabilitation","volume":"7","author":"Ang","year":"2013","journal-title":"J. Comput. Sci. Eng."},{"key":"ref_7","first-page":"907","article-title":"Mental chronometry and mental rotation abilities in stroke patients with different degrees of sensory deficit","volume":"34","author":"Liepert","year":"2016","journal-title":"Restor. Neurol. Neurosci."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"2290","DOI":"10.1109\/TNSRE.2018.2878249","article-title":"A Brain-Computer Interface-Based Action Observation Game That Enhances Mu Suppression","volume":"26","author":"Lim","year":"2018","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"35001","DOI":"10.1088\/1741-2552\/ab85b2","article-title":"Can a highly accurate multi-class SSMVEP BCI induce sensory-motor rhythm in the sensorimotor area?","volume":"18","author":"Zhang","year":"2021","journal-title":"J. Neural Eng."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Xie, J., Xu, G., Wang, J., Zhang, F., and Zhang, Y. (2012). Steady-State Motion Visual Evoked Potentials Produced by Oscillating Newton\u2019s Rings: Implications for Brain-Computer Interfaces. PLoS ONE, 7.","DOI":"10.1371\/journal.pone.0039707"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1696","DOI":"10.1109\/TBME.2017.2762690","article-title":"Four novel motion paradigms based on steady-state motion visual evoked potential","volume":"65","author":"Yan","year":"2018","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Zhang, X., Xu, G., Xie, J., and Zhang, X. (2017). Brain response to luminance-based and motion-based stimulation using inter-modulation frequencies. PLoS ONE, 12.","DOI":"10.1371\/journal.pone.0188073"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Mannan, M.M.N., Kamran, M.A., Kang, S., Choi, H.S., and Jeong, M.Y. (2020). A Hybrid Speller Design Using Eye Tracking and SSVEP Brain\u2013Computer Interface. Sensors, 20.","DOI":"10.3390\/s20030891"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1181","DOI":"10.1109\/TBME.2002.803536","article-title":"Design and implementation of a brain-computer interface with high transfer rates","volume":"49","author":"Cheng","year":"2002","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"2610","DOI":"10.1109\/TBME.2006.886577","article-title":"Frequency recognition based on canonical correlation analysis for SSVEP-based BCIs","volume":"53","author":"Lin","year":"2006","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"ref_16","first-page":"287","article-title":"Multiway canonical correlation analysis for frequency components recognition in SSVEP-based BCIs","volume":"Volume 7062 LNCS","author":"Zhang","year":"2011","journal-title":"International Conference on Neural Information Processing, Shanghai, China, 13\u201317 November 2011"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"1450019","DOI":"10.1142\/S0129065714500191","article-title":"A high-speed brain speller using steady-state visual evoked potentials","volume":"24","author":"Nakanishi","year":"2014","journal-title":"Int. J. Neural Syst."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"887","DOI":"10.1109\/TNSRE.2013.2279680","article-title":"L1-regularized multiway canonical correlation analysis for SSVEP-based BCI","volume":"21","author":"Zhang","year":"2013","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"046008","DOI":"10.1088\/1741-2560\/12\/4\/046008","article-title":"Filter bank canonical correlation analysis for implementing a high-speed SSVEP-based brain-computer interface","volume":"12","author":"Chen","year":"2015","journal-title":"J. Neural Eng."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"104","DOI":"10.1109\/TBME.2017.2694818","article-title":"Enhancing detection of SSVEPs for a high-speed brain speller using task-related component analysis","volume":"65","author":"Nakanishi","year":"2018","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"337","DOI":"10.3389\/fnhum.2018.00377","article-title":"A Light Spot Humanoid Motion Paradigm Modulated by the Change of Brightness to Recognize the Stride Motion Frequency","volume":"12","author":"Zhang","year":"2018","journal-title":"Front. Hum. Neurosci."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"E6058","DOI":"10.1073\/pnas.1508080112","article-title":"High-speed spelling with a noninvasive brain\u2013computer interface","volume":"112","author":"Chen","year":"2015","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"308","DOI":"10.1016\/j.neuroimage.2012.08.044","article-title":"Task-related component analysis for functional neuroimaging and application to near-infrared spectroscopy data","volume":"64","author":"Tanaka","year":"2013","journal-title":"Neuroimage"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1002\/sim.3784","article-title":"False discovery rate and permutation test: An evaluation in ERP data analysis","volume":"29","year":"2010","journal-title":"Stat. Med."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1167\/9.7.8","article-title":"Assessing direction-specific adaptation using the steady-state visual evoked potential: Results from EEG source imaging","volume":"9","author":"Ales","year":"2009","journal-title":"J. Vis."},{"key":"ref_26","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"Hinton","year":"2008","journal-title":"J. Mach. Learn. Res."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1088\/0967-3334\/27\/1\/006","article-title":"A novel multiple frequency stimulation method for steady state VEP based brain computer interfaces","volume":"27","author":"Jaganathan","year":"2006","journal-title":"Physiol. Meas."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1016\/j.neulet.2010.07.043","article-title":"Dual-frequency steady-state visual evoked potential for brain computer interface","volume":"483","author":"Shyu","year":"2010","journal-title":"Neurosci. Lett."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"1380","DOI":"10.1016\/j.clinph.2013.11.016","article-title":"An amplitude-modulated visual stimulation for reducing eye fatigue in SSVEP-based brain-computer interfaces","volume":"125","author":"Chang","year":"2014","journal-title":"Clin. Neurophysiol."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/21\/16\/5269\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T06:40:30Z","timestamp":1760164830000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/21\/16\/5269"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8,4]]},"references-count":29,"journal-issue":{"issue":"16","published-online":{"date-parts":[[2021,8]]}},"alternative-id":["s21165269"],"URL":"https:\/\/doi.org\/10.3390\/s21165269","relation":{},"ISSN":["1424-8220"],"issn-type":[{"type":"electronic","value":"1424-8220"}],"subject":[],"published":{"date-parts":[[2021,8,4]]}}}