Kinematic instrumental assessment quantifies compensatory strategies in post-stroke patients.
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| Title: | Kinematic instrumental assessment quantifies compensatory strategies in post-stroke patients. |
|---|---|
| Authors: | Scano, Alessandro1 (AUTHOR) alessandro.scano@stiima.cnr.it, Guanziroli, Eleonora2 (AUTHOR), Brambilla, Cristina1 (AUTHOR), Specchia, Alessandro2 (AUTHOR), Tosatti, Lorenzo Molinari1 (AUTHOR), Molteni, Franco2 (AUTHOR) |
| Source: | Medical & Biological Engineering & Computing. Jan2026, Vol. 64 Issue 1, p135-146. 12p. |
| Subjects: | Stroke patients, Kinect (Motion sensor), Rehabilitation, Forelimb, Scientific observation, Fine motor ability, Human kinematics |
| Abstract: | In clinical practice, the upper limb function of hemiplegic post-stroke patients is commonly evaluated using clinical tests and questionnaires. Performing a reliable investigation of compensatory strategies adopted for the upper limb movement may shed light on the basis of motor control and the mechanism of functional recovery. To quantitatively evaluate the compensatory strategies in post-stroke hemiplegic patients, we conducted an observational study in which 36 hemiplegic patients were enrolled and were stratified according to the Fugl-Meyer score. We assessed compensatory strategies in upper limb movements, specifically reaching (RCH) and hand-to-mouth (HTM) movements, using the Kinect V2 device. 11 severe, 8 severe-moderate, 9 moderate-mild, and 8 mild patients and 17 controls participated in the study. Our results showed that severe, severe-moderate, and moderate-mild patients can be discriminated from healthy participants in almost all parameters. In particular, patients showed a reduced ROM of the shoulder in RCH, higher shoulder and elbow vertical displacement, and lower wrist vertical displacement in HTM. Interestingly, compensatory parameters also discriminate mild patients from healthy controls, such as head frontal and vertical displacements. Our protocol works effectively and the instrumental assessment of compensatory strategies in post-stroke patients allows to discriminate different levels of impairments even with low-cost devices. [ABSTRACT FROM AUTHOR] |
| Copyright of Medical & Biological Engineering & Computing is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 191328344 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Kinematic instrumental assessment quantifies compensatory strategies in post-stroke patients. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Scano%2C+Alessandro%22">Scano, Alessandro</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> alessandro.scano@stiima.cnr.it</i><br /><searchLink fieldCode="AR" term="%22Guanziroli%2C+Eleonora%22">Guanziroli, Eleonora</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Brambilla%2C+Cristina%22">Brambilla, Cristina</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Specchia%2C+Alessandro%22">Specchia, Alessandro</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tosatti%2C+Lorenzo+Molinari%22">Tosatti, Lorenzo Molinari</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Molteni%2C+Franco%22">Molteni, Franco</searchLink><relatesTo>2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Medical+%26+Biological+Engineering+%26+Computing%22">Medical & Biological Engineering & Computing</searchLink>. Jan2026, Vol. 64 Issue 1, p135-146. 12p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Stroke+patients%22">Stroke patients</searchLink><br /><searchLink fieldCode="DE" term="%22Kinect+%28Motion+sensor%29%22">Kinect (Motion sensor)</searchLink><br /><searchLink fieldCode="DE" term="%22Rehabilitation%22">Rehabilitation</searchLink><br /><searchLink fieldCode="DE" term="%22Forelimb%22">Forelimb</searchLink><br /><searchLink fieldCode="DE" term="%22Scientific+observation%22">Scientific observation</searchLink><br /><searchLink fieldCode="DE" term="%22Fine+motor+ability%22">Fine motor ability</searchLink><br /><searchLink fieldCode="DE" term="%22Human+kinematics%22">Human kinematics</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: In clinical practice, the upper limb function of hemiplegic post-stroke patients is commonly evaluated using clinical tests and questionnaires. Performing a reliable investigation of compensatory strategies adopted for the upper limb movement may shed light on the basis of motor control and the mechanism of functional recovery. To quantitatively evaluate the compensatory strategies in post-stroke hemiplegic patients, we conducted an observational study in which 36 hemiplegic patients were enrolled and were stratified according to the Fugl-Meyer score. We assessed compensatory strategies in upper limb movements, specifically reaching (RCH) and hand-to-mouth (HTM) movements, using the Kinect V2 device. 11 severe, 8 severe-moderate, 9 moderate-mild, and 8 mild patients and 17 controls participated in the study. Our results showed that severe, severe-moderate, and moderate-mild patients can be discriminated from healthy participants in almost all parameters. In particular, patients showed a reduced ROM of the shoulder in RCH, higher shoulder and elbow vertical displacement, and lower wrist vertical displacement in HTM. Interestingly, compensatory parameters also discriminate mild patients from healthy controls, such as head frontal and vertical displacements. Our protocol works effectively and the instrumental assessment of compensatory strategies in post-stroke patients allows to discriminate different levels of impairments even with low-cost devices. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Medical & Biological Engineering & Computing is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11517-025-03439-2 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 135 Subjects: – SubjectFull: Stroke patients Type: general – SubjectFull: Kinect (Motion sensor) Type: general – SubjectFull: Rehabilitation Type: general – SubjectFull: Forelimb Type: general – SubjectFull: Scientific observation Type: general – SubjectFull: Fine motor ability Type: general – SubjectFull: Human kinematics Type: general Titles: – TitleFull: Kinematic instrumental assessment quantifies compensatory strategies in post-stroke patients. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Scano, Alessandro – PersonEntity: Name: NameFull: Guanziroli, Eleonora – PersonEntity: Name: NameFull: Brambilla, Cristina – PersonEntity: Name: NameFull: Specchia, Alessandro – PersonEntity: Name: NameFull: Tosatti, Lorenzo Molinari – PersonEntity: Name: NameFull: Molteni, Franco IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 01400118 Numbering: – Type: volume Value: 64 – Type: issue Value: 1 Titles: – TitleFull: Medical & Biological Engineering & Computing Type: main |
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