Measures of Interjoint Coordination Post-stroke Across Different Upper Limb Movement Tasks
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Summary
The kinematic parameters of the upper limb after stroke were influenced largely by the task, underpinning the necessity to assess different relevant functional movements close to real-world conditions rather than relying solely on clinical measures.
- Type
- article
- Published
- 2021-01-28
- Cited by
- 37
- References
- 80
- Access
- Open access
- OpenAlex
- https://openalex.org/W3127772510
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:231733344
Keywords
Kinematics, Physical medicine and rehabilitation, Upper limb, Elbow, Trunk
References
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- A Neuroanatomical Framework for Upper Limb Synergies after Stroke
- Elbow Extension Predicts Motor Impairment and Performance after Stroke
- Comparison of “Less Affected Limb” Reaching Kinematics in Individuals with Chronic Stroke and Healthy Age-Matched Controls
- Impact of gravity loading on post‐stroke reaching and its relationship to weakness
- What Do Motor “Recovery” and “Compensation” Mean in Patients Following Stroke?
Cited by
- Kinematic Evaluation via Inertial Measurement Unit Associated with Upper Extremity Motor Function in Subacute Stroke: A Cross-Sectional Study
- Hand Motor Asymmetry in Task Oriented Movement
- The Use of Armeo®Spring Device to Assess the Effect of Trunk Stabilization Exercises on the Functional Capabilities of the Upper Limb—An Observational Study of Patients after Stroke
- An Analysis of Lower Limb Coordination Variability in Unilateral Tasks in Healthy Adults: A Possible Prognostic Tool
- Is There a Relation between Brain and Muscle Activity after Virtual Reality Training in Individuals with Stroke? A Cross-Sectional Study
- Identification of inverse kinematic parameters in redundant systems: Towards quantification of inter-joint coordination in the human upper extremity
- Application of the coupling angle to investigate upper limb interjoint coordination after stroke
- An Artificial Intelligence model for smart post-stroke assessment using wearable sensors
- Upper limb assessment with inertial measurement units according to the international classification of functioning in stroke: a systematic review and correlation meta-analysis
- Quantitative Assessment of Upper Limb Movement in Post-Stroke Adults for Identification of Sensitive Measures in Reaching and Lifting Activities
- Automatic Post-Stroke Severity Assessment Using Novel Unsupervised Consensus Learning for Wearable and Camera-Based Sensor Datasets
- Exercise repetition rate measured with simple sensors at home can be used to estimate Upper Extremity Fugl-Meyer score after stroke
- Hand-worn devices for assessment and rehabilitation of motor function and their potential use in BCI protocols: a review
- Post-Stroke Virtual Assessment Using Deep Learning
- Detection of Upper Limb Motor Dysfunction for Stroke Patients Using a Wearable Device and a Two-Layer LSTM Model
- Upper extremity kinematics: development of a quantitative measure of impairment severity and dissimilarity after stroke
- Intra-limb joint coordination measures of upper limb and hand movements: A systematic review.
- Development and Validation of a Bedside Scale for Assessing Upper Limb Function Following Stroke: A Methodological Study
- Upper limb motor dysfunction is associated with fragmented kinetics after brain injury.
- Feature analysis of joint motion in paralyzed and non-paralyzed upper limbs while reaching the occiput: A cross-sectional study in patients with mild hemiplegia
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