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.)
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  Data: Kinematic instrumental assessment quantifies compensatory strategies in post-stroke patients.
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  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)
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  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.
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  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>
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  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
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  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:
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      – Type: doi
        Value: 10.1007/s11517-025-03439-2
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      – Code: eng
        Text: English
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        PageCount: 12
        StartPage: 135
    Subjects:
      – SubjectFull: Stroke patients
        Type: general
      – SubjectFull: Kinect (Motion sensor)
        Type: general
      – SubjectFull: Rehabilitation
        Type: general
      – SubjectFull: Forelimb
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      – SubjectFull: Scientific observation
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      – SubjectFull: Fine motor ability
        Type: general
      – SubjectFull: Human kinematics
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      – TitleFull: Kinematic instrumental assessment quantifies compensatory strategies in post-stroke patients.
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              M: 01
              Text: Jan2026
              Type: published
              Y: 2026
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