Quantitative Analysis of Intrinsic Muscle Stiffness in Biceps Brachii of Post-stroke Patients

Author(s):  
Silvana Galvão ◽  
Denise Xerez ◽  
Renato de Lima ◽  
Alexandre V. Pino ◽  
Liliam Fernandes de Oliveira ◽  
...  
2020 ◽  
Vol 11 (1) ◽  
pp. 11
Author(s):  
Peng-Ta Liu ◽  
Ta-Sen Wei ◽  
Congo Tak-Shing Ching

This study aimed to investigate the feasibility of sonoelastography for determining echotexture in post-stroke patients. Moreover, the relationships of muscle echotexture features, muscle stiffness, and functional performance in spastic muscle were explored. The study population comprised 22 males with stroke. The echotexture features (entropy and energy) of the biceps brachii muscles (BBM) in both arms were extracted by local binary pattern (LBP) from ultrasound images, whereas the stiffness of BBM was assessed by shear wave velocity (SWV) in the transverse and longitudinal planes. The Fugl–Meyer assessment (FMA) was used to assess the functional performance of the upper arm. The results showed that echotexture was more inhomogeneous in the paretic BBM than in the non-paretic BBM. SWV was significantly faster in paretic BBM than in non-paretic BBM. Both echotexture features were significantly correlated with SWV in the longitudinal plane. The feature of energy was significantly negatively correlated with FMA in the longitudinal plane and was significantly positively correlated with the duration from stroke onset in the transverse plane. The echotexture extracted by LBP may be a promising approach for quantitative assessment of the spastic BBM in post-stroke patients.


2021 ◽  
Vol 38 (4) ◽  
pp. 985-992
Author(s):  
Sugondo Hadiyoso ◽  
Hasballah Zakaria ◽  
Paulus Anam Ong ◽  
Tati Latifah E.R. Mengko

Post-stroke dementia (PSD) is a type of vascular dementia (VaD) that might be occurred in post-stroke patients. Memory, language and behavior tests can be used for the analysis of cognitive impairment caused by PSD. Often a supporting clinical examination such as an electroencephalogram (EEG) is used to support the diagnosis or analyze the characteristic changes that occur in the brain. Conventional analysis or visual inspection of EEG signals can be very difficult, since the nature of the signal tends to be non-stationer. Therefore, this study proposes a quantitative analysis for the characterization of EEG signals in stroke survivors with dementia. It is thought that it has different characteristics with the normal subject so that this study can be used as a reference in supporting dementia detection in post-stroke survivors. The quantitative analysis used in this study is coherence analysis. Coherence analysis was performed on EEG signals recorded from six poststroke patients with dementia and then compared with ten normal healthy subjects. Analysis of coherence between brain areas includes inter and intra-hemispheric coherence. Validation was carried out by using the independent t-test where the confidence level was 95%, indicating that the p-value <0.05 had a significant difference. The test results show that in general the coherence of the electrode pairs in patients with dementia is lower than in the normal healthy group. It is notably, i) In interhemispheric, the C3-C4, T3-T4, and T5-T6 pairs generate significant differences, ii) the highest decrease in intrahemispheric coherence was found in C3-T5 with p = 0.0005. The coherence study presented in this paper is expected to be used for early detection of PSD in the future.


2018 ◽  
Vol 3 (5) ◽  
pp. 247-253
Author(s):  
D. A. Potii ◽  
◽  
S. V. Tatarko ◽  
A. H. Snegir ◽  
G. A. Prokopenko ◽  
...  

2019 ◽  
Vol 7 (3) ◽  
pp. 232-237
Author(s):  
Hana Larasati ◽  
Theresia Titin Marlina

Background: stroke is a disorder of nervous system function that occurs suddenly and is caused by brain bleeding disorders that can affect the quality of life physical dimensions, social dimensions, psychological dimensions, environmental dimensions. Based on the result of Lumbu study (2015) the number of samples were 71 people collected data using the (WHOQOL-BREF). There were 56 people (78,9%) had the poor quality of life of post stroke. The mean of post-stroke quality of life domain was physical domain (45,27%), psychological domain (49,87%), social relations domain (48,15%) and environmental domain (50.01%). Objective: the purpose of the study was know the quality of life of the stroke patients in Outpatient Polyclinic of Private Hospital in Yogyakarta. Methods: used descriptive quantitative by using questionnaire test of purposive sampling system based on patients who have been affected of ischemic or hemorrhagic stroke before, number 30 respondents. Result: quality of life of stroke patient of medium physical dimension (67%), psychological dimension (71%), social dimension (67%), dimension good environment (63%). Conclusion: the quality of life of stroke patients of physical dimension, psychological dimension, and moderate social dimension, while the quality of life of stroke patients were good environmental dimension.   Keywords: Hemorrhagic stroke, ischemic stroke, quality of life


Author(s):  
N. Nozdryukhina ◽  
E. Kabayeva ◽  
E. Kirilyuk ◽  
K. Tushova ◽  
A. Karimov

Despite significant advances in the treatment and rehabilitation of stroke, level of post-stroke disability remains at a fairly high level. Recent innovative developments in the rehabilitation of these patients provide good results in terms of functional outcome. One of such developments is method of virtual reality (VR), which affects not only the speed and volume of regaining movement, as well as coordination, but also normalizes the psycho-emotional background, increasing the motivation of patients to improve the recovery process. This article provides a literature review of the use of the VR method in the rehabilitation of post-stroke patients, neurophysiological aspects of recovery of lost functions using this method are considered.


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