Academic Journal

Evolving base of support associated multicontact stability analysis reveals distinct sit-to-stand motor control pattern in stroke survivors.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Evolving base of support associated multicontact stability analysis reveals distinct sit-to-stand motor control pattern in stroke survivors.
Συγγραφείς: Wang D; Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, People's Republic of China., Zhang S; Zhejiang Rehabilitation Medical Center (ZJRMC), The Affiliated Rehabilitation Hospital of Zhejiang Chinese Medical University, Hangzhou 310053, People's Republic of China., Tang Y; Department of Rehabilitation, Zhejiang Hospital, Hangzhou 310013, People's Republic of China., Wang Y; Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, People's Republic of China., Liu W; Department of Critical Care Rehabilitation, The Third Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou 310053, People's Republic of China., Ning G; Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, People's Republic of China.
Πηγή: Medical engineering & physics [Med Eng Phys] 2026 Sep 11; Vol. 147 (9). Date of Electronic Publication: 2026 Sep 11.
Τύπος έκδοσης: Journal Article
Γλώσσα: English
Στοιχεία περιοδικού: Publisher: Butterworth-Heinemann Country of Publication: England NLM ID: 9422753 Publication Model: Electronic Cited Medium: Internet ISSN: 1873-4030 (Electronic) Linking ISSN: 13504533 NLM ISO Abbreviation: Med Eng Phys Subsets: MEDLINE
Imprint Name(s): Publication: London : Butterworth-Heinemann
Original Publication: Oxford, UK : Butterworth-Heinemann, c1994-
Ιατρικοί όροι (MeSH): Stroke*/physiopathology , Survivors* , Sitting Position* , Standing Position*, Biomechanical Phenomena ; Humans ; Movement
Περίληψη: Sit-to-stand (STS) transition is a prerequisite for independent mobility and a primary benchmark for post-stroke functional recovery. However, conventional event-based measures fail to continuously resolve weight transfer, and the classical Extrapolated center of mass (XcoM) and margin of stability (MoS) framework cannot represent evolving multicontact support, vertical acceleration dynamics, or whole-body angular momentum, thereby obscuring phase-specific motor control strategies. To address this problem, we proposed a continuous biomechanical framework for analyzing multicontact STS dynamics by integrating a time-evolving effective base of support (BoS) with a Vertical-Dynamics-Informed XcoM (VDI-XcoM) that incorporates vertical dynamics and an angular-momentum-related correction. Combining these formulations yields the Multicontact MoS (MMoS). The framework was evaluated in a method agreement study (MAS) and a clinical comparison study (CCS). The MAS showed agreement between the rapidly deployable Kinect-based method and the laboratory reference for VDI-XcoM and effective-BoS trajectories, while MMoS metrics exhibited high within-session repeatability in the CCS. Critically, whereas conventional discrete descriptors and the pre-seat-off minimum MoS failed to differentiate stroke survivors from healthy controls, MMoS successfully isolated a low-stability-margin phase before seat-off in stroke survivors, showing a shallower primary valley and smaller negative area than controls. Effective-BoS analysis demonstrated that the increase in plantar anteroposterior support in stroke survivors was insufficient to offset seat support reduction, while VDI-XcoM decomposition identified smaller velocity- and angular-momentum-related changes in the margin between the extrapolated body state and effective BoS before seat-off. Together, these findings characterize incomplete seat-to-foot transfer and reduced pre-seat-off forward-momentum generation and transfer after stroke. By unifying evolving support boundary with body-state dynamics, the framework provides phase-specific biomechanical information for objective post-stroke STS analysis and may support the motor control assessment in rehabilitation treatment.
(© 2026 Institute of Physics and Engineering in Medicine. All rights, including for text and data mining, AI training, and similar technologies, are reserved.)
Contributed Indexing: Keywords: angular momentum; dynamic stability; effective base of support; margin of stability; sit-to-stand; stroke
Entry Date(s): Date Created: 20260825 Date Completed: 20260911 Latest Revision: 20260911
Update Code: 20260911
DOI: 10.1088/1873-4030/ae9e2c
PMID: 42641625
Βάση Δεδομένων: MEDLINE
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  Data: Evolving base of support associated multicontact stability analysis reveals distinct sit-to-stand motor control pattern in stroke survivors.
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  Data: <searchLink fieldCode="AU" term="%22Wang+D%22">Wang D</searchLink>; Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, People's Republic of China.<br /><searchLink fieldCode="AU" term="%22Zhang+S%22">Zhang S</searchLink>; Zhejiang Rehabilitation Medical Center (ZJRMC), The Affiliated Rehabilitation Hospital of Zhejiang Chinese Medical University, Hangzhou 310053, People's Republic of China.<br /><searchLink fieldCode="AU" term="%22Tang+Y%22">Tang Y</searchLink>; Department of Rehabilitation, Zhejiang Hospital, Hangzhou 310013, People's Republic of China.<br /><searchLink fieldCode="AU" term="%22Wang+Y%22">Wang Y</searchLink>; Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, People's Republic of China.<br /><searchLink fieldCode="AU" term="%22Liu+W%22">Liu W</searchLink>; Department of Critical Care Rehabilitation, The Third Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou 310053, People's Republic of China.<br /><searchLink fieldCode="AU" term="%22Ning+G%22">Ning G</searchLink>; Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, People's Republic of China.
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  Data: Sit-to-stand (STS) transition is a prerequisite for independent mobility and a primary benchmark for post-stroke functional recovery. However, conventional event-based measures fail to continuously resolve weight transfer, and the classical Extrapolated center of mass (XcoM) and margin of stability (MoS) framework cannot represent evolving multicontact support, vertical acceleration dynamics, or whole-body angular momentum, thereby obscuring phase-specific motor control strategies. To address this problem, we proposed a continuous biomechanical framework for analyzing multicontact STS dynamics by integrating a time-evolving effective base of support (BoS) with a Vertical-Dynamics-Informed XcoM (VDI-XcoM) that incorporates vertical dynamics and an angular-momentum-related correction. Combining these formulations yields the Multicontact MoS (MMoS). The framework was evaluated in a method agreement study (MAS) and a clinical comparison study (CCS). The MAS showed agreement between the rapidly deployable Kinect-based method and the laboratory reference for VDI-XcoM and effective-BoS trajectories, while MMoS metrics exhibited high within-session repeatability in the CCS. Critically, whereas conventional discrete descriptors and the pre-seat-off minimum MoS failed to differentiate stroke survivors from healthy controls, MMoS successfully isolated a low-stability-margin phase before seat-off in stroke survivors, showing a shallower primary valley and smaller negative area than controls. Effective-BoS analysis demonstrated that the increase in plantar anteroposterior support in stroke survivors was insufficient to offset seat support reduction, while VDI-XcoM decomposition identified smaller velocity- and angular-momentum-related changes in the margin between the extrapolated body state and effective BoS before seat-off. Together, these findings characterize incomplete seat-to-foot transfer and reduced pre-seat-off forward-momentum generation and transfer after stroke. By unifying evolving support boundary with body-state dynamics, the framework provides phase-specific biomechanical information for objective post-stroke STS analysis and may support the motor control assessment in rehabilitation treatment.<br /> (© 2026 Institute of Physics and Engineering in Medicine. All rights, including for text and data mining, AI training, and similar technologies, are reserved.)
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  Data: <i>Keywords: </i>angular momentum; dynamic stability; effective base of support; margin of stability; sit-to-stand; stroke
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      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Biomechanical Phenomena
        Type: general
      – SubjectFull: Humans
        Type: general
      – SubjectFull: Movement
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      – SubjectFull: Stroke physiopathology
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      – SubjectFull: Sitting Position
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      – TitleFull: Evolving base of support associated multicontact stability analysis reveals distinct sit-to-stand motor control pattern in stroke survivors.
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