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A Wearable Multimodal Assistive Interface for Virtual Cursor Control in Stroke Survivors with Upper-Limb Impairment.

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Τίτλος: A Wearable Multimodal Assistive Interface for Virtual Cursor Control in Stroke Survivors with Upper-Limb Impairment.
Συγγραφείς: Liang Y; School of Automation Science and Engineering, South China University of Technology, Guangzhou 510641, China.; Research Center for Brain-Computer Interface, Guangdong Laboratory of Artificial Intelligence and Digital Economy (Guangzhou), Guangzhou 510335, China., Zhang L; Department of Rehabilitation Medicine, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou 510630, China., Jiang Y; School of Automation Science and Engineering, South China University of Technology, Guangzhou 510641, China.; Research Center for Brain-Computer Interface, Guangdong Laboratory of Artificial Intelligence and Digital Economy (Guangzhou), Guangzhou 510335, China., Zhu J; School of Automation Science and Engineering, South China University of Technology, Guangzhou 510641, China.; South China Brain-Computer Interface Technology Co., Ltd., Guangzhou 510320, China., Zhao Y; Department of Rehabilitation Medicine, Guangzhou Dongsheng Hospital, Guangzhou 510500, China., Qin P; Research Center for Brain-Computer Interface, Guangdong Laboratory of Artificial Intelligence and Digital Economy (Guangzhou), Guangzhou 510335, China.; Guangdong Key Laboratory of Mental Health and Cognitive Science, Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, Center for Studies of Psychological Application, South China Normal University, Guangzhou 510631, China., Chen D; School of Automation Science and Engineering, South China University of Technology, Guangzhou 510641, China.; Research Center for Brain-Computer Interface, Guangdong Laboratory of Artificial Intelligence and Digital Economy (Guangzhou), Guangzhou 510335, China., Peng J; School of Computing and Data Science, The University of Hong Kong, Hong Kong 999077, China., Li Y; School of Automation Science and Engineering, South China University of Technology, Guangzhou 510641, China.; Research Center for Brain-Computer Interface, Guangdong Laboratory of Artificial Intelligence and Digital Economy (Guangzhou), Guangzhou 510335, China., Hu X; Department of Rehabilitation Medicine, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou 510630, China.
Πηγή: Sensors (Basel, Switzerland) [Sensors (Basel)] 2026 Aug 28; Vol. 26 (17). Date of Electronic Publication: 2026 Aug 28.
Τύπος έκδοσης: Journal Article
Γλώσσα: English
Στοιχεία περιοδικού: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE
Imprint Name(s): Original Publication: Basel, Switzerland : MDPI, c2000-
Ιατρικοί όροι (MeSH): Stroke*/physiopathology , Upper Extremity*/physiopathology , Stroke Rehabilitation*/methods , Wearable Electronic Devices* , User-Computer Interface*, Humans ; Female ; Male ; Electroencephalography ; Middle Aged ; Electrooculography ; Adult ; Survivors ; Aged
Περίληψη: Stroke survivors with upper-limb impairments often have difficulty using conventional computer interfaces, which limits their ability to perform daily computer-related activities independently. This study developed a wearable multimodal assistive interface that enables computer interaction through a virtual cursor. A lightweight headband equipped with electrooculography (EOG), electroencephalography (EEG), and an inertial measurement unit (IMU) was used to acquire multimodal signals for interaction control. EOG signals were processed to detect voluntary blinks to generate clicks, head movements were mapped to cursor movements through IMU-based control, and frontal EEG signals were used to estimate attention as an auxiliary mechanism for command verification. A rapid user-specific calibration procedure was introduced to adapt blink-detection thresholds to individual EOG characteristics without requiring extensive training. Thirty stroke patients with upper-limb impairments participated in experiments involving common computer tasks, including news reading, video playback, and character spelling. The system achieved an average operation accuracy of 87.53 ± 4.92%, an average operation time of 3.49 ± 0.49 s, and an information transfer rate of 62.04 ± 15.93 bits/min in the spelling task. The mean NASA-TLX score was 32.1 ± 5.4, indicating a moderate subjective workload during system use. These results demonstrate the feasibility of the proposed wearable multimodal assistive interface for supporting computer interaction in stroke survivors with upper-limb impairments.
References: Front Neurosci. 2023 Jul 12;17:1194554. (PMID: 37502681)
Sensors (Basel). 2025 Nov 05;25(21):. (PMID: 41229005)
Clin Nurs Res. 2021 Jul;30(6):883-891. (PMID: 33238717)
J Neuromuscul Dis. 2018;5(4):439-449. (PMID: 30282373)
J Biomed Inform. 2019 Aug;96:103249. (PMID: 31295624)
IEEE Trans Neural Syst Rehabil Eng. 2025;33:150-161. (PMID: 40030617)
Front Neuroeng. 2014 Nov 18;7:42. (PMID: 25477814)
Sensors (Basel). 2023 Jun 25;23(13):. (PMID: 37447718)
Neurorehabil Neural Repair. 2018 Aug;32(8):724-734. (PMID: 30043656)
Biol Psychol. 2003 Jul;63(3):237-51. (PMID: 12853169)
Neurorehabil Neural Repair. 2002 Sep;16(3):232-40. (PMID: 12234086)
Qual Life Res. 2018 Mar;27(3):597-607. (PMID: 29417427)
IEEE Trans Neural Syst Rehabil Eng. 2020 Feb;28(2):519-530. (PMID: 31870987)
Support Care Cancer. 2021 Dec;29(12):7975-7984. (PMID: 34215933)
Neurorehabil Neural Repair. 2002 Sep;16(3):241-8. (PMID: 12234087)
Am J Psychol. 1987 Fall-Winter;100(3-4):441-71. (PMID: 3322052)
Comput Intell Neurosci. 2019 Oct 8;2019:3807670. (PMID: 31687006)
IEEE Trans Biomed Eng. 2025 Feb;72(2):716-724. (PMID: 39320995)
J Intensive Care Med. 2015 Sep;30(6):311-7. (PMID: 24212598)
Annu Rev Biomed Eng. 2024 Jul;26(1):1-24. (PMID: 37832939)
Comput Methods Biomech Biomed Engin. 2026 Jun;29(8):1834-1842. (PMID: 39945188)
J Healthc Eng. 2022 Apr 18;2022:6894392. (PMID: 35480157)
Stroke. 2001 Jun;32(6):1279-84. (PMID: 11387487)
Clin EEG Neurosci. 2011 Oct;42(4):230-5. (PMID: 22208120)
Annu Int Conf IEEE Eng Med Biol Soc. 2015 Aug;2015:1067-70. (PMID: 26736449)
IEEE Trans Cybern. 2020 Jan;50(1):153-163. (PMID: 30188843)
Disabil Rehabil Assist Technol. 2014 Mar;9(2):121-7. (PMID: 23600732)
IEEE Trans Neural Syst Rehabil Eng. 2026;34:638-649. (PMID: 41525552)
Brain Inj. 2010;24(11):1372-8. (PMID: 20715900)
Ergonomics. 2012;55(5):526-37. (PMID: 22506483)
Sensors (Basel). 2024 Sep 19;24(18):. (PMID: 39338801)
Grant Information: 2022ZD0208900 STI 2030-Major Projects; 2018B030339001 the Key R&D Program of Guangdong Province, China; 202007030007 the Key Realm Research and Development Program of Guangzhou, China; 2024D02J0008 the Guangzhou Talent Plan; 32371098 National Natural Science Foundation of China
Contributed Indexing: Keywords: assistive technology; electroencephalography; electrooculography; human–computer interaction; inertial measurement unit; multimodal interaction; stroke rehabilitation; virtual cursor; wearable assistive interface
Entry Date(s): Date Created: 20260915 Date Completed: 20260915 Latest Revision: 20260916
Update Code: 20260916
PubMed Central ID: PMC13568087
DOI: 10.3390/s26175436
PMID: 42740056
Βάση Δεδομένων: MEDLINE
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  Data: A Wearable Multimodal Assistive Interface for Virtual Cursor Control in Stroke Survivors with Upper-Limb Impairment.
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  Data: <searchLink fieldCode="AU" term="%22Liang+Y%22">Liang Y</searchLink>; School of Automation Science and Engineering, South China University of Technology, Guangzhou 510641, China.; Research Center for Brain-Computer Interface, Guangdong Laboratory of Artificial Intelligence and Digital Economy (Guangzhou), Guangzhou 510335, China.<br /><searchLink fieldCode="AU" term="%22Zhang+L%22">Zhang L</searchLink>; Department of Rehabilitation Medicine, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou 510630, China.<br /><searchLink fieldCode="AU" term="%22Jiang+Y%22">Jiang Y</searchLink>; School of Automation Science and Engineering, South China University of Technology, Guangzhou 510641, China.; Research Center for Brain-Computer Interface, Guangdong Laboratory of Artificial Intelligence and Digital Economy (Guangzhou), Guangzhou 510335, China.<br /><searchLink fieldCode="AU" term="%22Zhu+J%22">Zhu J</searchLink>; School of Automation Science and Engineering, South China University of Technology, Guangzhou 510641, China.; South China Brain-Computer Interface Technology Co., Ltd., Guangzhou 510320, China.<br /><searchLink fieldCode="AU" term="%22Zhao+Y%22">Zhao Y</searchLink>; Department of Rehabilitation Medicine, Guangzhou Dongsheng Hospital, Guangzhou 510500, China.<br /><searchLink fieldCode="AU" term="%22Qin+P%22">Qin P</searchLink>; Research Center for Brain-Computer Interface, Guangdong Laboratory of Artificial Intelligence and Digital Economy (Guangzhou), Guangzhou 510335, China.; Guangdong Key Laboratory of Mental Health and Cognitive Science, Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, Center for Studies of Psychological Application, South China Normal University, Guangzhou 510631, China.<br /><searchLink fieldCode="AU" term="%22Chen+D%22">Chen D</searchLink>; School of Automation Science and Engineering, South China University of Technology, Guangzhou 510641, China.; Research Center for Brain-Computer Interface, Guangdong Laboratory of Artificial Intelligence and Digital Economy (Guangzhou), Guangzhou 510335, China.<br /><searchLink fieldCode="AU" term="%22Peng+J%22">Peng J</searchLink>; School of Computing and Data Science, The University of Hong Kong, Hong Kong 999077, China.<br /><searchLink fieldCode="AU" term="%22Li+Y%22">Li Y</searchLink>; School of Automation Science and Engineering, South China University of Technology, Guangzhou 510641, China.; Research Center for Brain-Computer Interface, Guangdong Laboratory of Artificial Intelligence and Digital Economy (Guangzhou), Guangzhou 510335, China.<br /><searchLink fieldCode="AU" term="%22Hu+X%22">Hu X</searchLink>; Department of Rehabilitation Medicine, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou 510630, China.
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  Label: Abstract
  Group: Ab
  Data: Stroke survivors with upper-limb impairments often have difficulty using conventional computer interfaces, which limits their ability to perform daily computer-related activities independently. This study developed a wearable multimodal assistive interface that enables computer interaction through a virtual cursor. A lightweight headband equipped with electrooculography (EOG), electroencephalography (EEG), and an inertial measurement unit (IMU) was used to acquire multimodal signals for interaction control. EOG signals were processed to detect voluntary blinks to generate clicks, head movements were mapped to cursor movements through IMU-based control, and frontal EEG signals were used to estimate attention as an auxiliary mechanism for command verification. A rapid user-specific calibration procedure was introduced to adapt blink-detection thresholds to individual EOG characteristics without requiring extensive training. Thirty stroke patients with upper-limb impairments participated in experiments involving common computer tasks, including news reading, video playback, and character spelling. The system achieved an average operation accuracy of 87.53 ± 4.92%, an average operation time of 3.49 ± 0.49 s, and an information transfer rate of 62.04 ± 15.93 bits/min in the spelling task. The mean NASA-TLX score was 32.1 ± 5.4, indicating a moderate subjective workload during system use. These results demonstrate the feasibility of the proposed wearable multimodal assistive interface for supporting computer interaction in stroke survivors with upper-limb impairments.
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  Label: References
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  Data: Front Neurosci. 2023 Jul 12;17:1194554. (PMID: <searchLink fieldCode="PM" term="%2237502681%22">37502681)</searchLink><br />Sensors (Basel). 2025 Nov 05;25(21):. (PMID: <searchLink fieldCode="PM" term="%2241229005%22">41229005)</searchLink><br />Clin Nurs Res. 2021 Jul;30(6):883-891. (PMID: <searchLink fieldCode="PM" term="%2233238717%22">33238717)</searchLink><br />J Neuromuscul Dis. 2018;5(4):439-449. (PMID: <searchLink fieldCode="PM" term="%2230282373%22">30282373)</searchLink><br />J Biomed Inform. 2019 Aug;96:103249. (PMID: <searchLink fieldCode="PM" term="%2231295624%22">31295624)</searchLink><br />IEEE Trans Neural Syst Rehabil Eng. 2025;33:150-161. (PMID: <searchLink fieldCode="PM" term="%2240030617%22">40030617)</searchLink><br />Front Neuroeng. 2014 Nov 18;7:42. (PMID: <searchLink fieldCode="PM" term="%2225477814%22">25477814)</searchLink><br />Sensors (Basel). 2023 Jun 25;23(13):. (PMID: <searchLink fieldCode="PM" term="%2237447718%22">37447718)</searchLink><br />Neurorehabil Neural Repair. 2018 Aug;32(8):724-734. (PMID: <searchLink fieldCode="PM" term="%2230043656%22">30043656)</searchLink><br />Biol Psychol. 2003 Jul;63(3):237-51. (PMID: <searchLink fieldCode="PM" term="%2212853169%22">12853169)</searchLink><br />Neurorehabil Neural Repair. 2002 Sep;16(3):232-40. (PMID: <searchLink fieldCode="PM" term="%2212234086%22">12234086)</searchLink><br />Qual Life Res. 2018 Mar;27(3):597-607. (PMID: <searchLink fieldCode="PM" term="%2229417427%22">29417427)</searchLink><br />IEEE Trans Neural Syst Rehabil Eng. 2020 Feb;28(2):519-530. (PMID: <searchLink fieldCode="PM" term="%2231870987%22">31870987)</searchLink><br />Support Care Cancer. 2021 Dec;29(12):7975-7984. (PMID: <searchLink fieldCode="PM" term="%2234215933%22">34215933)</searchLink><br />Neurorehabil Neural Repair. 2002 Sep;16(3):241-8. (PMID: <searchLink fieldCode="PM" term="%2212234087%22">12234087)</searchLink><br />Am J Psychol. 1987 Fall-Winter;100(3-4):441-71. (PMID: <searchLink fieldCode="PM" term="%223322052%22">3322052)</searchLink><br />Comput Intell Neurosci. 2019 Oct 8;2019:3807670. (PMID: <searchLink fieldCode="PM" term="%2231687006%22">31687006)</searchLink><br />IEEE Trans Biomed Eng. 2025 Feb;72(2):716-724. (PMID: <searchLink fieldCode="PM" term="%2239320995%22">39320995)</searchLink><br />J Intensive Care Med. 2015 Sep;30(6):311-7. (PMID: <searchLink fieldCode="PM" term="%2224212598%22">24212598)</searchLink><br />Annu Rev Biomed Eng. 2024 Jul;26(1):1-24. (PMID: <searchLink fieldCode="PM" term="%2237832939%22">37832939)</searchLink><br />Comput Methods Biomech Biomed Engin. 2026 Jun;29(8):1834-1842. (PMID: <searchLink fieldCode="PM" term="%2239945188%22">39945188)</searchLink><br />J Healthc Eng. 2022 Apr 18;2022:6894392. (PMID: <searchLink fieldCode="PM" term="%2235480157%22">35480157)</searchLink><br />Stroke. 2001 Jun;32(6):1279-84. (PMID: <searchLink fieldCode="PM" term="%2211387487%22">11387487)</searchLink><br />Clin EEG Neurosci. 2011 Oct;42(4):230-5. (PMID: <searchLink fieldCode="PM" term="%2222208120%22">22208120)</searchLink><br />Annu Int Conf IEEE Eng Med Biol Soc. 2015 Aug;2015:1067-70. (PMID: <searchLink fieldCode="PM" term="%2226736449%22">26736449)</searchLink><br />IEEE Trans Cybern. 2020 Jan;50(1):153-163. (PMID: <searchLink fieldCode="PM" term="%2230188843%22">30188843)</searchLink><br />Disabil Rehabil Assist Technol. 2014 Mar;9(2):121-7. (PMID: <searchLink fieldCode="PM" term="%2223600732%22">23600732)</searchLink><br />IEEE Trans Neural Syst Rehabil Eng. 2026;34:638-649. (PMID: <searchLink fieldCode="PM" term="%2241525552%22">41525552)</searchLink><br />Brain Inj. 2010;24(11):1372-8. (PMID: <searchLink fieldCode="PM" term="%2220715900%22">20715900)</searchLink><br />Ergonomics. 2012;55(5):526-37. (PMID: <searchLink fieldCode="PM" term="%2222506483%22">22506483)</searchLink><br />Sensors (Basel). 2024 Sep 19;24(18):. (PMID: <searchLink fieldCode="PM" term="%2239338801%22">39338801)</searchLink>
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  Data: 2022ZD0208900 STI 2030-Major Projects; 2018B030339001 the Key R&D Program of Guangdong Province, China; 202007030007 the Key Realm Research and Development Program of Guangzhou, China; 2024D02J0008 the Guangzhou Talent Plan; 32371098 National Natural Science Foundation of China
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