scholarly journals Motor Function Assessment of Upper Limb in Stroke Patients

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Bingyu Pan ◽  
Zhen Huang ◽  
Tingting Jin ◽  
Jiankang Wu ◽  
Zhiqiang Zhang ◽  
...  
Keyword(s):  
Motor Function ◽  
Upper Limb ◽  
Evaluation Method ◽  
Inertial Sensor ◽  
Treatment Strategies ◽  
Nonnegative Matrix ◽  
Sensor Data ◽  
Muscle Synergy ◽  
Control Group ◽  
Stroke Patients

Background. Quantitative assessment of motor function is extremely important for poststroke patients as it can be used to develop personalized treatment strategies. This study aimed to propose an evaluation method for upper limb motor function in stroke patients. Methods. Thirty-four stroke survivors and twenty-five age-matched healthy volunteers as the control group were recruited for this study. Inertial sensor data and surface electromyography (sEMG) signals were collected from the upper limb during voluntary upward reaching. Five features included max shoulder joint angle, peak and average speeds, torso balance calculated from inertial sensor data, and muscle synergy similarity extracted from sEMG data by the nonnegative matrix factorization algorithm. Meanwhile, the Fugl–Meyer score of each patient was graded by professional rehabilitation therapist. Results. Statistically significant differences were observed among severe, mild-to-moderate, and control group of five features ( p   ≤  0.001). The features varied as the level of upper limb motor function changes since these features significantly correlated with the Fugl–Meyer assessment scale ( p   ≤  0.001). Moreover, the Bland–Altman method was conducted and showed high consistency between the evaluation method of five features and Fugl–Meyer scale. Therefore, the five features proposed in this paper can quantitatively evaluate the motor function of stroke patients which is very useful in the rehabilitation process.

scholarly journals A Novel Muscle Synergy Extraction Method Used for Motor Function Evaluation of Stroke Patients: A Pilot Study

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3833
Author(s):  
Yehao Ma ◽  
Changcheng Shi ◽  
Jialin Xu ◽  
Sijia Ye ◽  
Huilin Zhou ◽  
...  
Keyword(s):  
Motor Function ◽  
Matrix Factorization ◽  
Extraction Method ◽  
Nonnegative Matrix Factorization ◽  
Nonnegative Matrix ◽  
Simulated Data ◽  
Muscle Synergy ◽  
Multivariate Curve Resolution ◽  
Function Evaluation ◽  
Stroke Patients

In this paper, we present a novel muscle synergy extraction method based on multivariate curve resolution–alternating least squares (MCR-ALS) to overcome the limitation of the nonnegative matrix factorization (NMF) method for extracting non-sparse muscle synergy, and we study its potential application for evaluating motor function of stroke survivors. Nonnegative matrix factorization (NMF) is the most widely used method for muscle synergy extraction. However, NMF is susceptible to components’ sparseness and usually provides inferior reliability, which significantly limits the promotion of muscle synergy. In this study, MCR-ALS was employed to extract muscle synergy from electromyography (EMG) data. Its performance was compared with two other matrix factorization algorithms, NMF and self-modeling mixture analysis (SMMA). Simulated data sets were utilized to explore the influences of the sparseness and noise on the extracted synergies. As a result, the synergies estimated by MCR-ALS were the most similar to true synergies as compared with SMMA and NMF. MCR-ALS was used to analyze the muscle synergy characteristics of upper limb movements performed by healthy (n = 11) and stroke (n = 5) subjects. The repeatability and intra-subject consistency were used to evaluate the performance of MCR-ALS. As a result, MCR-ALS provided much higher repeatability and intra-subject consistency as compared with NMF, which were important for the reliability of the motor function evaluation. The stroke subjects had lower intra-subject consistency and seemingly had more synergies as compared with the healthy subjects. Thus, MCR-ALS is a promising muscle synergy analysis method for motor function evaluation of stroke patients.

scholarly journals Explicit motor sequence learning after stroke: a neuropsychological study

2021 ◽  
Author(s):  
Cristina Russo ◽  
Laura Veronelli ◽  
Carlotta Casati ◽  
Alessia Monti ◽  
Laura Perucca ◽  
...  
Keyword(s):  
Basal Ganglia ◽  
Motor Learning ◽  
Upper Limb ◽  
Motor Recovery ◽  
Finger Tapping ◽  
Control Group ◽  
Stroke Severity ◽  
Motor Sequence ◽  
Stroke Patients ◽  
Motor Practice

AbstractMotor learning interacts with and shapes experience-dependent cerebral plasticity. In stroke patients with paresis of the upper limb, motor recovery was proposed to reflect a process of re-learning the lost/impaired skill, which interacts with rehabilitation. However, to what extent stroke patients with hemiparesis may retain the ability of learning with their affected limb remains an unsolved issue, that was addressed by this study. Nineteen patients, with a cerebrovascular lesion affecting the right or the left hemisphere, underwent an explicit motor learning task (finger tapping task, FTT), which was performed with the paretic hand. Eighteen age-matched healthy participants served as controls. Motor performance was assessed during the learning phase (i.e., online learning), as well as immediately at the end of practice, and after 90 min and 24 h (i.e., retention). Results show that overall, as compared to the control group, stroke patients, regardless of the side (left/right) of the hemispheric lesion, do not show a reliable practice-dependent improvement; consequently, no retention could be detected in the long-term (after 90 min and 24 h). The motor learning impairment was associated with subcortical damage, predominantly affecting the basal ganglia; conversely, it was not associated with age, time elapsed from stroke, severity of upper-limb motor and sensory deficits, and the general neurological condition. This evidence expands our understanding regarding the potential of post-stroke motor recovery through motor practice, suggesting a potential key role of basal ganglia, not only in implicit motor learning as previously pointed out, but also in explicit finger tapping motor tasks.

Music-supported therapy (MST) in improving post-stroke patients' upper-limb motor function: a randomised controlled pilot study

2015 ◽  
Vol 37 (5) ◽  
pp. 434-440 ◽  
Author(s):  
Yanna Tong ◽  
Brian Forreider ◽  
Xinting Sun ◽  
Xiaokun Geng ◽  
Weidong Zhang ◽  
...  
Keyword(s):  
Pilot Study ◽  
Motor Function ◽  
Upper Limb ◽  
Stroke Patients ◽  
Post Stroke ◽  
Randomised Controlled

scholarly journals BCI-Based Rehabilitation on the Stroke in Sequela Stage

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Yangyang Miao ◽  
Shugeng Chen ◽  
Xinru Zhang ◽  
Jing Jin ◽  
Ren Xu ◽  
...  
Keyword(s):  
Motor Function ◽  
The Body ◽  
Control Group ◽  
Stroke Patients ◽  
Time Period ◽  
Average Improvement ◽  
Study Results ◽  
Electroencephalogram Eeg ◽  
Positive Effect

Background. Stroke is the leading cause of serious and long-term disability worldwide. Survivors may recover some motor functions after rehabilitation therapy. However, many stroke patients missed the best time period for recovery and entered into the sequela stage of chronic stroke. Method. Studies have shown that motor imagery- (MI-) based brain-computer interface (BCI) has a positive effect on poststroke rehabilitation. This study used both virtual limbs and functional electrical stimulation (FES) as feedback to provide patients with a closed-loop sensorimotor integration for motor rehabilitation. An MI-based BCI system acquired, analyzed, and classified motor attempts from electroencephalogram (EEG) signals. The FES system would be activated if the BCI detected that the user was imagining wrist dorsiflexion on the instructed side of the body. Sixteen stroke patients in the sequela stage were randomly assigned to a BCI group and a control group. All of them participated in rehabilitation training for four weeks and were assessed by the Fugl-Meyer Assessment (FMA) of motor function. Results. The average improvement score of the BCI group was 3.5, which was higher than that of the control group (0.9). The active EEG patterns of the four patients in the BCI group whose FMA scores increased gradually became centralized and shifted to sensorimotor areas and premotor areas throughout the study. Conclusions. Study results showed evidence that patients in the BCI group achieved larger functional improvements than those in the control group and that the BCI-FES system is effective in restoring motor function to upper extremities in stroke patients. This study provides a more autonomous approach than traditional treatments used in stroke rehabilitation.

Training and assessment of upper limb motor function with a robotic exoskeleton in chronic stroke patients

2014 ◽  
Vol 40 ◽  
pp. S27-S28 ◽  
Author(s):  
C. Chisari ◽  
A. Frisoli ◽  
E. Sotgiu ◽  
C. Procopio ◽  
F. Bertolucci ◽  
...  
Keyword(s):  
Motor Function ◽  
Upper Limb ◽  
Chronic Stroke ◽  
Stroke Patients ◽  
Robotic Exoskeleton

scholarly journals Post-stroke Rehabilitation of Severe Upper Limb Paresis in Germany – Toward Long-Term Treatment With Brain-Computer Interfaces

2021 ◽  
Vol 12 ◽  
Author(s):  
Cornelius Angerhöfer ◽  
Annalisa Colucci ◽  
Mareike Vermehren ◽  
Volker Hömberg ◽  
Surjo R. Soekadar
Keyword(s):  
Upper Limb ◽  
Hand Function ◽  
Treatment Strategies ◽  
Term Treatment ◽  
Brain Computer Interfaces ◽  
Stroke Patients ◽  
Computer Interfaces ◽  
Long Term Treatment ◽  
Upper Limb Paresis

Severe upper limb paresis can represent an immense burden for stroke survivors. Given the rising prevalence of stroke, restoration of severe upper limb motor impairment remains a major challenge for rehabilitation medicine because effective treatment strategies are lacking. Commonly applied interventions in Germany, such as mirror therapy and impairment-oriented training, are limited in efficacy, demanding for new strategies to be found. By translating brain signals into control commands of external devices, brain-computer interfaces (BCIs) and brain-machine interfaces (BMIs) represent promising, neurotechnology-based alternatives for stroke patients with highly restricted arm and hand function. In this mini-review, we outline perspectives on how BCI-based therapy can be integrated into the different stages of neurorehabilitation in Germany to meet a long-term treatment approach: We found that it is most appropriate to start therapy with BCI-based neurofeedback immediately after early rehabilitation. BCI-driven functional electrical stimulation (FES) and BMI robotic therapy are well suited for subsequent post hospital curative treatment in the subacute stage. BCI-based hand exoskeleton training can be continued within outpatient occupational therapy to further improve hand function and address motivational issues in chronic stroke patients. Once the rehabilitation potential is exhausted, BCI technology can be used to drive assistive devices to compensate for impaired function. However, there are several challenges yet to overcome before such long-term treatment strategies can be implemented within broad clinical application: 1. developing reliable BCI systems with better usability; 2. conducting more research to improve BCI training paradigms and 3. establishing reliable methods to identify suitable patients.

scholarly journals POST STROKE REHABILITATION: CLINICAL EFFICACY OF BCI-DRIVEN HAND EXOSKELETON IN COMPARISON WITH "AMADEO" ROBOTIC MECHANOTHERAPY

2019 ◽  
Vol 1 (3) ◽  
pp. 63-72 ◽  
Author(s):  
R Kh Lyukmanov ◽  
O A Mokienko ◽  
G A Aziatskaya ◽  
N A Suponeva ◽  
M A Piradov
Keyword(s):  
Motor Function ◽  
Motor Imagery ◽  
Stroke Rehabilitation ◽  
Treatment Strategies ◽  
Main Group ◽  
Motor Deficit ◽  
Control Group ◽  
Mirror Therapy ◽  
Robot Assisted ◽  
Post Stroke

Motor function deficit due to stroke is one of the leading causes for disability among working-age population. The most effective evidence-based treatment strategies are task oriented exercise approaches including constrained-induced movement therapy. Robot-assisted training provides high amount of repetitions and feedback to patient. Adjuvant therapies such as mirror therapy and motor imagery show their effectiveness if used in combination with basic neurorehabilitation methods and are treatment of choice for patients with severe motor impairment. Brain-computer interfaces allow to control motor imagery as a process by giving different type of feedback (e.g. kinesthetic via exoskeleton) during training sessions. It is poorly known if kinesthetic motor imagery is more effective comparing to robot-assisted training as a part of post-stroke rehabilitation. Materials and methods: 55 patients with arm paresis >1 month after stroke were enrolled in the current study. Screening and randomization were performed. Participants underwent rehabilitation treatment where BCI controlled motor imagery training in main group and robot-assisted training in control group were included. Motor function of the paretic arm was assessed using Action Research Arm Test (ARAT) and Fugl-Meyer Assessment (FMA) before and after intervention. Results: Recovery of upper extremity motor function did not correlate with time since stroke and age of participants neither in main group, nor in control group. Correlations between change in motor scales scores and initial severity of motor deficit was shown in both groups (p

scholarly journals Effects of Excitatory Transcranial Magnetic Stimulation of the Anterior Intraparietal Area in Chronic Stroke Patients

2018 ◽  
Author(s):  
Ronaldo Luis da Silva ◽  
Angela Maria Costa de Souza ◽  
Francielly Ferreira Santos ◽  
Sueli Toshie Inoue ◽  
Johanne Higgins ◽  
...  
Keyword(s):  
Transcranial Magnetic Stimulation ◽  
Motor Function ◽  
Upper Limb ◽  
Lower Limb ◽  
Magnetic Stimulation ◽  
Sensory Function ◽  
Stroke Patients ◽  
Chronic Patients ◽  
Upper Limb Function ◽  
Stimulation Of

1) Objective: to evaluate the effects of excitatory transcranial magnetic stimulation of the anterior intraparietal area in chronic patients with a frontal lesion and parietal sparing due to stroke on the impaired upper (UL) and lower limb (LL) as measured by Fugl-Meyer Assessment (FMA). 2) Methods: three patients (P1: 49.83/2.75, P2: 53.17/3.83, P3:63.33/3.08 years-old at stroke/years post-stroke, respectively) received two weeks (five days/ week) of rTMS at 10 Hz of the left anterior intraparietal area (AIP). A patient was treated in similar conditions with a sham coil (56.58/4.33) No complimentary therapy was delivered during the study. Patients were evaluated before, after- and two-months post-treatment (A1, A2 and A3, respectively). 3) Results: We found increased scores for lower limb in motor function subsection for P1 and P3 and in sensory function for P2 by A2 that remained at A3. We also found an increased score for upper limb motor function for P2 and P3, but the score decreased by A3 for P2. P3 score for upper limb ROM increased by A3 compared to A1 and A2. 4) Conclusion: AIP excitatory rTMS increased the FMA scores for lower and upper limb function, showing a broader effect when compared to M1 stimulation.

scholarly journals Inertial Sensor Measurements of Upper-Limb Kinematics in Stroke Patients in Clinic and Home Environment

2018 ◽  
Vol 6 ◽  
Author(s):  
Jeremia P. O. Held ◽  
Bart Klaassen ◽  
Albert Eenhoorn ◽  
Bert-Jan F. van Beijnum ◽  
Jaap H. Buurke ◽  
...  
Keyword(s):  
Home Environment ◽  
Upper Limb ◽  
Inertial Sensor ◽  
Stroke Patients ◽  
Limb Kinematics
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