Autonomic Cardiac Response to Static and Dynamic Muscle Contractions in Post-Stroke and Healthy Subjects

2016 ◽  
Vol 75 (5-6) ◽  
pp. 207-212 ◽  
Author(s):  
Noa Raphaely Beer ◽  
Natan M. Bornstein ◽  
Nachum Soroker ◽  
Michal Katz-Leurer
Keyword(s):  
Healthy Subjects ◽  
Muscle Contractions ◽  
Cardiac Response ◽  
Post Stroke

scholarly journals Assessment of an Assistive Control Approach Applied in an Active Knee Orthosis Plus Walker for Post-Stroke Gait Rehabilitation

Sensors ◽  
2020 ◽  
Vol 20 (9) ◽  
pp. 2452
Author(s):  
Ana Cecilia Villa-Parra ◽  
Jessica Lima ◽  
Denis Delisle-Rodriguez ◽  
Laura Vargas-Valencia ◽  
Anselmo Frizera-Neto ◽  
...  
Keyword(s):  
Healthy Subjects ◽  
Muscle Activation ◽  
Inertial Sensors ◽  
Lower Limbs ◽  
Trunk Muscles ◽  
Control Group ◽  
Gait Rehabilitation ◽  
Control Approach ◽  
Post Stroke ◽  
Knee Orthosis

The goal of this study is the assessment of an assistive control approach applied to an active knee orthosis plus a walker for gait rehabilitation. The study evaluates post-stroke patients and healthy subjects (control group) in terms of kinematics, kinetics, and muscle activity. Muscle and gait information of interest were acquired from their lower limbs and trunk, and a comparison was conducted between patients and control group. Signals from plantar pressure, gait phase, and knee angle and torque were acquired during gait, which allowed us to verify that the stance control strategy proposed here was efficient at improving the patients’ gaits (comparing their results to the control group), without the necessity of imposing a fixed knee trajectory. An innovative evaluation of trunk muscles related to the maintenance of dynamic postural equilibrium during gait assisted by our active knee orthosis plus walker was also conducted through inertial sensors. An increase in gait cycle (stance phase) was also observed when comparing the results of this study to our previous work. Regarding the kinematics, the maximum knee torque was lower for patients when compared to the control group, which implies that our orthosis did not demand from the patients a knee torque greater than that for healthy subjects. Through surface electromyography (sEMG) analysis, a significant reduction in trunk muscle activation and fatigability, before and during the use of our orthosis by patients, was also observed. This suggest that our orthosis, together with the assistive control approach proposed here, is promising and could be considered to complement post-stroke patient gait rehabilitation.

Comparison of Objective Indicators of Proprioception of Single–joint Arm Movements in Healthy Subjects and Post–Stroke Patients in Sitting and Lying Positions

2019 ◽  
Vol 45 (4) ◽  
pp. 397-404
Author(s):  
V. Y. Roschin ◽  
O. G. Pavlova ◽  
V. A. Selionov ◽  
I. A. Solopova ◽  
D. S. Zhvansky ◽  
...  
Keyword(s):  
Healthy Subjects ◽  
Arm Movements ◽  
Stroke Patients ◽  
Post Stroke ◽  
Objective Indicators

The investigation of kinematic features of gait in healthy subjects and patients with post-stroke atactic disorders

2015 ◽  
Vol 115 (9. Vyp. 2) ◽  
pp. 42 ◽  
Author(s):  
M. V. Abroskina ◽  
S. V. Prokopenko ◽  
V. P. Givaev ◽  
V. S. Ondar ◽  
E. D. Gasyimlyi
Keyword(s):  
Healthy Subjects ◽  
Post Stroke

scholarly journals Temporal Dynamics of Corticomuscular Coherence Reflects Alteration of the Central Mechanisms of Neural Motor Control in Post-Stroke Patients

2021 ◽  
Vol 15 ◽  
Author(s):  
Maxime Fauvet ◽  
David Gasq ◽  
Alexandre Chalard ◽  
Joseph Tisseyre ◽  
David Amarantini
Keyword(s):  
Motor Control ◽  
Healthy Subjects ◽  
Voluntary Movement ◽  
Temporal Dynamics ◽  
Elbow Extension ◽  
Stroke Patients ◽  
Post Stroke ◽  
Antagonist Muscles ◽  
Agonist And Antagonist ◽  
Agonist And Antagonist Muscles

The neural control of muscular activity during a voluntary movement implies a continuous updating of a mix of afferent and efferent information. Corticomuscular coherence (CMC) is a powerful tool to explore the interactions between the motor cortex and the muscles involved in movement realization. The comparison of the temporal dynamics of CMC between healthy subjects and post-stroke patients could provide new insights into the question of how agonist and antagonist muscles are controlled related to motor performance during active voluntary movements. We recorded scalp electroencephalography activity, electromyography signals from agonist and antagonist muscles, and upper limb kinematics in eight healthy subjects and seventeen chronic post-stroke patients during twenty repeated voluntary elbow extensions and explored whether the modulation of the temporal dynamics of CMC could contribute to motor function impairment. Concomitantly with the alteration of elbow extension kinematics in post-stroke patients, dynamic CMC analysis showed a continuous CMC in both agonist and antagonist muscles during movement and highlighted that instantaneous CMC in antagonist muscles was higher for post-stroke patients compared to controls during the acceleration phase of elbow extension movement. In relation to motor control theories, our findings suggest that CMC could be involved in the online control of voluntary movement through the continuous integration of sensorimotor information. Moreover, specific alterations of CMC in antagonist muscles could reflect central command alterations of the selectivity in post-stroke patients.

scholarly journals Wrist Actimetry Biomarker Development of Paretic Upper Limb Use in Post Stroke Patients for Ecological Monitoring.

2021 ◽  
Author(s):  
Gilles Dusfour ◽  
Denis Mottet ◽  
Makii Muthalib ◽  
Isabelle Laffont ◽  
Karima K.A. Bakhti
Keyword(s):  
Home Environment ◽  
Upper Limb ◽  
Healthy Subjects ◽  
Limiting Factors ◽  
Cumulative Probability ◽  
Limiting Factor ◽  
Upper Limbs ◽  
Stroke Patients ◽  
Post Stroke ◽  
Paretic Side

Abstract Background In post-stroke patients it is unclear which wrist actimetry biomarkers to use to estimate the degree of upper limb hemiparesis. The objective of this study was to develop a general and objective framework for monitoring hemiparetic patients in their home environment via different biomarkers based on 7 days of actimetry data. A secondary objective was to use all of these biomarkers to better understand the mechanism for potential non-use of the paretic upper limb. Methods Accelerometers were worn continuously for a period of 7 days on both wrists of 10 post-stroke hemiparetic patients as well as 6 healthy subjects. Various wrist actimetry biomarkers were calculated, including the Jerk ratio 50 (JR50, cumulative probability that the Jerk Ratio is between 0 and 0.5), absolute and relative amounts of functional use of movements of the upper limbs (FuncUse and FuncUseR) and absolute and relative velocities of the upper limbs during functional use (VUL and VULR). For each biomarker, the values of stroke and healthy groups were compared. The correlations between all the biomarkers were studied. Results We studied 10 participants with mild-to-moderate chronic hemiparesis and 6 healthy control participants. FuncUse and VUL of the paretic upper limb of stroke patients were significantly lower than in the non-dominant upper limb of healthy subjects. Similarly, FuncUseR (paretic/non-paretic vs non-dominant/dominant), JR and VULR are significantly lower in stroke patients than in healthy subjects. FuncUseR, VULR and JR50 seem to be complementary biomarkers for monitoring patient strokes. Conclusion The stroke patients do not seem to compensate for the decrease in functional movement on the paretic side by an increase on the non-paretic side. The speed of execution of functional movements on the paretic side could be the limiting factor to a normal use of the paretic upper limb. A thorough clinical study is needed to identify the limiting factors. In conclusion, this study for the first time has shown actimetry is a robust and non-obtrusive lightweight technology for continuously acquiring objective upper limb data of paretic arm use/ non-use over an extended period in a home environment for monitoring stroke patients.

scholarly journals Vascular dementia classification based on hilbert huang transform as feature extractor

2020 ◽  
Vol 17 (2) ◽  
pp. 968
Author(s):  
Wan Siti Nur Shafiqa Wan Musa ◽  
Mohd Ibrahim Shapiai ◽  
Hilman Fauzi ◽  
Aznida Firzah Abdul Aziz
Keyword(s):  
Vascular Dementia ◽  
Stroke Patient ◽  
Healthy Subjects ◽  
Feature Extraction Method ◽  
Hilbert Huang Transform ◽  
Post Stroke ◽  
People With Dementia ◽  
Feature Extractor ◽  
Learning Machine ◽  
Electroencephalogram Eeg

<a name="_Hlk14121907"></a><span lang="EN-MY">Impairment of cognitive and working memory after stroke was common. Vascular dementia (VaD) was a prevalent type of dementia that was caused by an impaired blood supply to the brain </span><span lang="EN">because of a series of small strokes. </span><span lang="EN-MY">Electroencephalogram (EEG) gives information about brain status and activity, so it had a lot of potential to be used in diagnosing people with dementia. </span><span lang="EN">Since the EEG signal is extremely non-linear and non-stationary data, traditional Fourier analysis such as Fast Fourier Transform (FFT) that broadens sinusoidal signals cannot describe the amplitude contribution of each frequency value in specific time. Meanwhile, Hilbert Huang Transform (HHT) was based on the characteristic local time scale of the signal, it can </span><span lang="EN-MY">efficiently obtain instantaneous frequency and instantaneous amplitude for nonstationary and nonlinear data. In this paper, HHT was employed as feature extraction method to extract </span><span lang="EN">the energy features of frequency bands from post stroke patients and healthy subjects. The extracted features were fed into extreme learning machine (ELM) for classifying post stroke patient with VaD and healthy subjects. The results of classification accuracy using HHT as feature extractor and FFT as feature extractor were compared. The mean accuracy of classification using HHT was 59.14%, respectively, while mean accuracy of classification using FFT was 94.4%, respectively, in classifying post stroke patient with VaD and healthy subjects.</span>

Stable or able? Effect of virtual reality stimulation on static balance of post-stroke patients and healthy subjects

2020 ◽  
Vol 70 ◽  
pp. 102569
Author(s):  
Erika D'Antonio ◽  
Gaetano Tieri ◽  
Fabrizio Patané ◽  
Giovanni Morone ◽  
Marco Iosa
Keyword(s):  
Virtual Reality ◽  
Healthy Subjects ◽  
Static Balance ◽  
Stroke Patients ◽  
Post Stroke

Induction of cortical plastic changes in wrist muscles by paired associative stimulation in healthy subjects and post-stroke patients

2007 ◽  
Vol 180 (1) ◽  
pp. 113-122 ◽  
Author(s):  
Evelyne Castel-Lacanal ◽  
Angélique Gerdelat-Mas ◽  
Philippe Marque ◽  
Isabelle Loubinoux ◽  
Marion Simonetta-Moreau
Keyword(s):  
Healthy Subjects ◽  
Stroke Patients ◽  
Paired Associative Stimulation ◽  
Post Stroke ◽  
Plastic Changes

scholarly journals Activation timing of soleus and tibialis anterior muscles during sit-to-stand and stand-to-sit in post-stroke vs. healthy subjects

2013 ◽  
Vol 30 (1) ◽  
pp. 48-55 ◽  
Author(s):  
Augusta Silva ◽  
Andreia S. P. Sousa ◽  
Rita Pinheiro ◽  
Joana Ferraz ◽  
João Manuel R. S. Tavares ◽  
...  
Keyword(s):  
Healthy Subjects ◽  
Tibialis Anterior ◽  
Post Stroke ◽  
Sit To Stand
Sign in / Sign up

Export Citation Format

Share Document