Stroke Victims Research Articles

The Impact of Depression on the Functional Outcome of the Elderly Stroke Victim from a Gender Perspective: A Systematic Review.

(1) Background: The aim of this systematic review focused on analyzing the impact of depression on the functional outcome of the elderly stroke victim and how this disorder affects both the female and the male population. (2) Methods: We conducted a systematic review using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The review was registered in PROSPERO (ID 346284). The systematic search for clinical trials was performed in the databases Pubmed, Otseeker, Scopus, Web of Science, Psycinfo, Medline Complete, ScienceDirect, SciELO, and Dialnet. Articles were selected according to the inclusion and exclusion criteria, including those dealing with post-stroke depression in adults whose psychological status had changed. Studies that only assessed the psychological state of caregivers were excluded. (3) Results: In total, 609 articles were identified, of which 11 randomized controlled trials were finally included in the review. The results indicate that post-stroke depression influences the recovery of functionality and quality of life. In addition, the need to detect the mood of the adult population after the stroke and to provide individualized treatment according to the characteristics of the person is highlighted. (4) Conclusions: This systematic review shows how early detection of post-stroke depressive symptoms can improve the degree of disability and quality of life of the person, especially in women.

Molecular mediators of angiogenesis and neurogenesis after ischemic stroke.

The mechanisms governing neurological and functional recovery after ischemic stroke are incompletely understood. Recent advances in knowledge of intrinsic repair processes of the CNS have so far translated into minimal improvement in outcomes for stroke victims. Better understanding of the processes underlying neurological recovery after stroke is necessary for development of novel therapeutic approaches. Angiogenesis and neurogenesis have emerged as central mechanisms of post-stroke recovery and potential targets for therapeutics. Frameworks have been developed for conceptualizing cerebral angiogenesis and neurogenesis at the tissue and cellular levels. These models highlight that angiogenesis and neurogenesis are linked to each other and to functional recovery. However, knowledge of the molecular framework linking angiogenesis and neurogenesis after stroke is limited. Studies of potential therapeutics typically focus on one mediator or pathway with minimal discussion of its role within these multifaceted biochemical processes. In this article, we briefly review the current understanding of the coupled processes of angiogenesis and neurogenesis after stroke. We then identify the molecular mediators and signaling pathways found in pre-clinical studies to upregulate both processes after stroke and contextualizes them within the current framework. This report thus contributes to a more-unified understanding of the molecular mediators governing angiogenesis and neurogenesis after stroke, which we hope will help guide the development of novel therapeutic approaches for stroke survivors.

X-Ray-Ultrasound and Epidemiological Profile of the Victims of the Attacks in Mopti (Mali, West Africa)

Objective: To determine the X-ray, ultrasound, and epidemiological profile of the victims of the attacks of March and April 2019 received at the Mopti hospital. Materials and Methods: This was a cross-sectional study of the victims of the armed attacks of March and April 2019 received at Mopti hospital. The study included all stroke victims who had an x-ray or ultrasound during this time. The variables were the socio-demographic profile, the etiological mechanism, the imaging means and their results. Data analysis was done with SPSS version 25 and Excel 2016 software. Results: The most common age group was 15-29 years old at 35.4%. Men predominated with 66.7%. Civilians were more affected, 83.3%. Firearms accounted for 93.8% of the etiologies. The x-ray was no longer performed, ie 66.7%. The lower limbs were more affected with 31.8%. Fractures of the limbs and the presence of bullets were anomalies most frequent with 25% each one. Conclusion: The majority of the injured were predominantly young and male civilians. Firearms were the most common etiology with predominant involvement in the lower extremities. Radiography was the most used imaging method, and the most common abnormalities were fractures and the presence of ballistic fragments. Gastrointestinal perforation was the most suspected lesion on ultrasound.

Flatness tracking control scheme of rehabilitation exoskeleton robot with dynamic uncertainties

Artificial limbs are new robotic devices created to help stroke victims in the rehabilitation process. In this article, we focus our work on applying passive, active or assistive control strategies to provide a physical assistance and rehabilitation by a 7-degree-of-freedom exoskeleton robot with nonlinear uncertain dynamics and unknown bounded external disturbances due to the robot user’s physiological characteristics. The flatness controller combined with time-delay estimation is designed for the 7-degree-of-freedom exoskeleton robot called ETS-MARSE (Ecole de Technologie Supérieure—Motion Assistive Robotic-exoskeleton for Superior Extremity) in order to ensure a passive rehabilitation exercises with a high level of tracking accuracy and robustness against the uncertainty constraints. The stability analysis of such systems is proven using the Lyapunov–Krasovskii functional theory. This approach is illustrated by experimental results with healthy human to highlight the efficiency of the suggested controller scheme.

Detection of Ischemic Stroke Tissue Fate from the MRI Images Using a Deep Learning Approach

The ability to determine infarction thickness using magnetic resonance perfusion modulated imaging (PWI) should assist physicians to decide how vigorously to treat severe stroke victims. Algorithms for predicting tissue fate have indeed been created, although they are largely based on hand-crafted characteristics extracted from perfusion pictures, which seem to be susceptible to background subtraction approaches. Researchers show how deep convolution neural networks (CNNs) can be used to predict final stroke infarction thickness only using primary perfusion data throughout this paper. The number of recoverable tissues determines the alternative treatments for patients with acute ischemic stroke. The accuracy of this measurement technique is currently restricted by a set threshold and limited imagining paradigms. The values collection from real-time sensors was used to create and evaluate this suggested deep learning-based stroke illness statistical method. Several deep-learning systems (CNN-LSTM, LSTM, and CNN-Bidirectional LSTM) that specialize in time series analysis prediction and classification were analyzed and compared. These findings show that noninvasive technologies that can simply measure brainwave activity by itself can forecast and track stroke illnesses in real-time throughout ordinary life are feasible. When compared with the previous measuring approaches, these findings are predicted to lead to considerable improvements in early stroke diagnosis at a lower cost and with less inconvenience.

Adipose-derived mesenchymal stem cells reduced transient cerebral ischemia injury by modulation of inflammatory factors and AMPK signaling

Stem cell-based treatments have been recommended as a feasible therapy for stroke victims due to their potential for angiogenesis, neurogenesis, and synaptic plasticity. The intracellular mechanisms of stem cells against cerebral hypoperfusion are not well recognized. In this study, by releasing the clips, the reperfusion period was extended to 96 h, and two hours after cerebral ischemia, animals received adipose-derived MSCs. MSCs were isolated from the inguinal fat pads of rats and injected into two-vessel occlusion (2VO) rats 1 h after ischemia induction. Ninety-six hours after 2VO induction, behavioral and molecular tests were assessed. Adipose-derived MSCs treatment improves neurological scores, passive avoidance memory, and novel object recognition tests in the 2VO model compared to 2VO rats (P < 0.001). MSCs treatment decreased TNF-α (P < 0.01) and IL-6 (P < 0.01) and apoptotic factors (Bax/Bcl-2 ratio and caspase-3 level (P < 0.01)) compared with ischemic rats. MSCs treatment of ischemic rats could enhance Klotho-α and AMPK-α compared with ischemic rats (P < 0.001). The study disclosed that adipose-derived MSCs could improve neurological damage and memory deficits by reducing neuronal death in cerebral ischemia. Data proposed that adipose-derived MSCs inhibit pro-inflammatory factors such as IL-6 and TNF-α, consequently decreasing apoptosis in the hippocampus of CCAO rats. Besides, the Klotho-α and AMPK-α measurements found that MSCs might induce intracellular neuroprotective pathways via activation of Klotho-α/AMPK-α signaling.

A Possible Stroke Victim from Pharaonic Egypt

We describe the consequences of a stroke in an adult mummy from ancient Egypt including the differential diagnosis. To our knowledge this is the oldest hemiparalysis to be published in the scientific literature. The mummy, from the 25th Dynasty (c. 747-656 b.c.), was found during excavation of the tomb chapel of Hery (TT 12) and Baqi, of the early 18th Dynasty (c. 1550-1292 b.c.). Seventeen mummified bodies were found in a small corridor connecting the 2 tombs. The mummy labeled Individual 6833 was studied macroscopically and radiologically and was unique in its positioning, the presence of a crutch, and the use of sticks as supports. The body belonged to a woman, between 25 and 40 years of age. The type of mummification was of a high level, with excerebration and evisceration carefully performed. The woman suffered a stroke late in life, with left hemiparalysis after bone growth was completed, and she lived with the results for several years.

Meta-Analysis of Safety Effect of Nitric Oxide Drugs on Acute Cerebral Hemorrhage

Background: Nitric Oxide is involved in several physiological processes, including vasodilation, blood pressure control, platelet and antileucocyte activity, and neurotoxicity. When given within 4 to 6 hours after the start of stroke, nitric oxide donors (NO donors) have shown promise as an acute stroke therapy in two clinical studies. Methods: People with acute or chronic stroke were included in randomized trials of NO donors, and IPD was obtained from the trialists. The changed Rankin scale (mRS) and mortality by point in time to randomization were used to evaluate the impact of NO donor organize on practical result. Impairment, mood, and life quality were all included as secondary outcomes. Results: Glyceryl trinitrate (GTN) was used in all five studies (4,197 individuals). GTN reduced BP by 7.4/3.3mmHg as compare to the organize set. After 90 days, GTN has not altered any clinical measurements in any way, shape, or form. While GTN was linked with positive changes in the mRS (odds ratio (OR) of 0.52, 95% self-assurance gap of 0.34–0.78) and decreased mortality in 312 patients who were randomly assigned within 6 hours of the start of stroke, this was not the case for the other patients in the study. Conclusions: Little donors had no effect on the recovery of stroke victims. NO donors, on the other hand, may enhance outcomes in both ischemic and hemorrhagic stroke when specified in six hours of the start of stroke. Keywords: drugs, nitric oxide, Glyceryl trinitrate, acute cerebral hemorrhage, stroke, pharmacology

HYPERTENSION, THE MAIN RISK FACTOR FOR STROKE IN A UNIVERSITY HOSPITAL CENTER IN NORTHWEST ALGERIA

Objective: High blood pressure is the most important risk factor associated with cerebrovascular accidents and one of the main risk factors associated with heart disease. The objective of our study was to determine the place of arterial hypertension among the risk factors for stroke at the University Hospital Center of TLEMCEN. Design and method: Prospective descriptive study, on a sample of patients with stroke and admitted to the TLEMCEN University Hospital. A questionnaire was administered by interview to the patients. Data were entered and analyzed using Epi-info 6 software. Results: 2/3 of patients with arterial hypertension were found out of a total of 205 stroke victims. Arterial hypertension Hypertension is the main risk factor for stroke, ischemic or hemorrhagic. It occupies a prominent place in the personal medical history (63.40%), as well as the family history, found in 61.06% of patients. Other risk factors were: hypercholesterolemia, diabetes, heart disease and transient ischemic attack; with respectively 27.80%, 20.50%, 14.10% and 11.70%. Arterial hypertension was frequent in the acute phase of the stroke and often proportional to the extent of the stroke. Conclusions: Screening and effective treatment of high blood pressure, the main risk factor for stroke, as well as the fight against other risk factors are essential elements of stroke prevention.

Prevalence of stroke, associated risk factors and stroke related physical, mental, and economic burden in the Republic of Georgia.

Introduction:We investigated the prevalence, risk factors and physical, mental, and economic consequences of ischemic Janelidze and hemorrhagic stroke in the population of the Republic of Georgia.Materials and Methods:A population-based, cross-sectional study was conducted among 3036 adults residing in the Imereti Region of Georgia, selected using a multistage, probability proportionate-to-size, cluster sampling technique. Data were collected by medical students, using an interviewer-administered questionnaire. Diagnosis of stroke was confirmed by neurologists based on clinical examination and corroborated by documental evidence.Results:Of the targeted 3036 subjects, 2811 (92.6%) participated, of whom 1223 (43.5%) were women. Mean age of the sample was 49.7 (SD 15.2) years. The overall prevalence of stroke was 8.9%, the prevalence of ischemic stroke − 7.8% (95% CI 6.9–8.9) and of hemorrhagic stroke − 0.7% (95% CI 0.4–1.0). Ischemic stroke was more prevalent in males, while hemorrhagic stroke was more prevalent in females. Age, smoking, hypertension, and diabetes were associated with stroke. Stroke victims were young, many of them in the fifth decade of life. Sixty-five percent of them had a modified Rankin scale of three or greater, 25% were depressed, and 85% suffered cognitive impairment.Discussion:Stroke affected people and their families, experiencing a significant economic burden due to loss of the income and increase in out-of-pocket payment for post-stroke medical care.Conclusion:The stroke prevalence in the Republic of Georgia is higher than in Europe and is associated with a significant physical, mental, and economic burden.

Inhibition of Ferroptosis Using UAMC‐3203 in the Post‐stroke Period Does Not Impact Cognitive Outcomes in Diabetic Rats

IntroductionPost‐stroke cognitive impairment (PSCI) contributes to significant long‐term disability in stroke victims. 30% of ischemic stroke victims in the United States also have diabetes, which increases the risk of hemorrhagic transformation as well as PSCI. Ferroptosis, an iron‐induced cell death can instigate increased oxidative stress and contribute to impaired neurovascular repair leading to PSCI in diabetes. In our previous studies, we were able to identify that treating diabetic animals with an iron chelator, deferoxamine (DFX), prevents post‐stroke vasoregression and improves functional outcomes. Furthermore, DFX prevented the activation of ferroptosis in brain microvascular endothelial cells in vitro. Untreated diabetic animals experienced progressive cognitive decline while being monitored for 8 weeks. These findings led us to speculate that endothelial ferroptosis also plays a role in vasoregression and impacts cognitive outcomes post‐stroke. Therefore, this study was designed to test the hypothesis that inhibiting ferroptosis in the post‐stroke period will improve cognitive recovery in diabetic animals.MethodsAnimals were housed in reverse light cycle. 8 weeks after diabetes onset, male rats underwent 60 min middle cerebral artery occlusion (MCAO). On Day 3, after stroke injury was confirmed by MRI, animals were randomized to UAMC‐3 (2mg/kg) or vehicle treatment for 2 weeks. Sensorimotor and cognitive behavioral tests were performed during the animals’ active hours up to 8 weeks post MCAO.Results(Table 1): 60 min occlusion caused significant acute neurological deficits. There were no differences between the groups in indices measured by novel object recognition (NOR), Y‐maze and sucrose preference tests. Interestingly, step through latency in passive avoidance test (PAT) was lower in the UAMC‐3203 group.ConclusionTreatment with a ferroptosis inhibitor for 2 weeks after stroke did not impact recognition and working memory but worsened aversive learning in diabetic male rats. Unlike our previous study in which behavior tests were performed during rats’ passive hours, there was no progressive cognitive decline in untreated animals. Further evaluation of behavior testing times as well as tissue markers of neurovascular degeneration, inflammation and ferroptosis are required to determine whether molecular and cellular markers are affected by the treatment before overt changes in behavioral outcomes.

Association Between the Serum Iron and Acute Cognitive Impairment After Stroke: A Cross-Sectional Study.

Complications such as cognitive impairment are common in stroke victims. The goal of this study was to see if there was a link between blood iron levels and post-stroke cognitive impairment (PSCI) within 2weeks after stroke. A total of 313 patients with ischemic stroke were recruited and separated into two groups: PSCI (n = 202) and non-PSCI (n = 111). The Mini-mental state examination scale was used to evaluate the cognitive status within 2weeks after stroke (acute phase). The serum iron levels were divided into 4 layers: Q1 ≤ 11.7μmol/L, Q2 11.8-15.1μmol/, Q3 15.2-19.3μmol/L, Q4 ≥ 19.4μmol/L, respectively. The connection between serum iron and PSCI was then investigated further using binary logistic regression, which was adjusted for confounders. The difference in serum iron levels between the PSCI and non-PSCI group was initially conducted by the Mann-Whitney test, and a significant difference was found (14.5 (11.0-17.8) vs. 16.9 (13.7-21.8), p < .001), with no confounders being adjusted. After adjusting for confounding factors, the binary regression analysis showed that the Q4 layer showed the lowest risk of PSCI, with the Q1 layer being the reference. (odds ratio (OR) = 0.297, 95% confidence interval (CI) = 0.136-0.649, p = 0.002). A decreased risk of early-onset PSCI was linked to high serum iron levels. Low serum iron levels were found to be a risk factor for acute cognitive impairment following stroke, which could help physicians identify and take intervention measures early to reduce the risk of cognitive impairment after stroke.

Incidence of Death from Stroke and Brains of Stroke Victim Cadavers in Northern Thailand

Abstract Stroke is a leading cause of death in Thailand. However, there are varying numbers of regional stroke patients. This study aims to report the ranking of stroke as the cause of death in Northern Thai cadavers and to investigate the brains of stroke victim cadavers. A retrograde study was used to obtain data about cadavers and gross examinations were performed on the brains of the stroke victim cadavers housed in the Department of Anatomy, Faculty of Medicine, Chiang Mai University in the years 2019-2020. The results showed that death from stroke among the cadavers in the Northern Thailand increased during 2016-2018. Stroke was ranked as the fourth and fifth leading cause of death. The stroke victims were primarily aged over 60 years. The incidence of stroke in males was significantly higher than that of females. Approximately 92.7% of total stroke brains were the intracerebral hemorrhagic type stroke. About 41.7% of the intracerebral hemorrhagic brains had occurred with intraventricular hemorrhage and 16.7% of those occurred with subarachnoid hemorrhage. The hemorrhagic sizes varied from 5.66 to 260.43 ml. The territories of the cortical branches of the middle cerebral artery were the most common hemorrhages, making up 22.9% of total vascular territories. In conclusion, stroke was the fourth and fifth leading cause of death in the self-donated population in the Northern Thailand. Intracerebral hemorrhagic stroke was the main cause the death. Additionally, the vascular territories of the stroke might be related to the likelihood of death. Keywords: Stroke, Cerebrovascular disease, Cadavers, Intracerebral hemorrhage, Northern Thailand

Comparison of the CNN and RNN Approaches with Respect to Brain Tumor using MRI Image Datasets

Introduction: Heart disease and cancer are the top two killers in the world, but strokes are the third most common cause of death worldwide. Furthermore, one-third of stroke victims are left with long-term disabilities. An Ischemic-strokes account for 80% of all strokes, while hemorrhagic strokes account for 20% of all strokes. Aim of this study: The main aim of this study is comparing the haemorrhagic and ischemic stroke patients – analysis of mortality, clinical development and relationship between stroke variables. Research Methodology: The design of this research is descriptive and exploratory. The current study included 100 patients with an acknowledged stroke incidence (57 men and 43 women). The difference of statistics between infarct and haemorrhage on the demographic &amp; clinical variables was discovered through the use of univariate and Multivariate analysis. Data analysis: The data have been analyzed on a total of 100 patients based on the two types of strokes using various statistical tools on clinical and demographic variables. Conclusion: It is concluded that in comparison to ischemic stroke, hemorrhagic stroke affected a younger age group. Stroke patients with a history of hypertension had a statistically insignificant link between their hypertensive history and the occurrence of the disease, according to the univariate analysis.

COGNITIVE IMPAIRMENT AFTER A STROKE IN PARAKOU IN 2018

Objectiveto determine the frequency and factors associated with cognitive impairment after a stroke in Parakou. Methodsthis was a descriptive and analytical cross-sectional study with an exhaustive census of all patients aged at least 50 years, who had a stroke and were followed in the neurology department of the CHUDB of Parakou from 2012 to 2018. The CSI-D, MMSE, Senegal test and DUBOIS 5 words test were used as collection tools for the assessment of cognitive functions. Analysis was performed using Epi info 7.1.3.3 software and IBM SPSS Statistics v21. ResultsOf 136 subjects over 50 years age, followed for stroke during the study period, 42 subjects were included. The mean age was 62.88±8.40 years with a sex ratio at 1.33 (57.14% male). The mean scores of the cognitive tests were 7.50 ±1.81 on the CSI-D; 25.18±4.06 on the MMSE and 31.11±6.08 on the Senegal test. The frequency of cognitive disorders was 28.57% in the CSI-D; 35.71% in the MMSE; 47.61% in the Senegal test and 19.04% in the DUBOIS 5-word test. The associated factors were the level of education (p=0.03), hypertension (p=0.04) and diabetes (p=0.01). ConclusionThe frequency of cognitive disorders is high among stroke victims in Parakou.

The Obesity Paradox in Real-World Nation-Wide Cohort of Patients Admitted for a Stroke in the U.S.

Background: Obesity has been associated with increased incidence and severity of various cardiovascular risk factors and increased risk for stroke. However, the evidence of its effect on outcomes in stroke victims have been equivocal. We aimed to investigate the distribution of BMI in a nation-wide cohort of individuals, admitted for a stroke, and the relationship between BMI and in-hospital mortality. Methods: Data from the U.S. National Inpatient Sample (NIS) was collected, to identify hospitalizations for stroke, between October 2015 and December 2016. The patients were sub-divided into six groups based on their BMI: underweight, normal weight, overweight, obese I, obese II and extremely obese groups. Various sociodemographic and clinical parameters were gathered, and incidence of mortality and the length of hospital stay were analyzed. Multivariable analysis was performed to identify independent predictors of in-hospital mortality. Results: A weighted total of 84,185 hospitalizations for stroke were included in the analysis. The approximate mean patients aged was 65.5 ± 31 years, the majority being female (55.3%) and white (63.1%). The overall in-hospital mortality during the study period was 3.6%. A reverse J-shaped relationship between the body mass index and in-hospital mortality was documented, while patients with elevated BMI showed significantly lower in-hospital mortality compared to the underweight and normal weight study participants, 2.8% vs. 7.4%, respectively, p < 0.001. Age and several comorbidities, as well as the Deyo Comorbidity Index, were found to predict mortality in a multivariable analysis. Conclusion: A reverse J-shaped relationship between body mass index and in-hospital mortality was documented in patients admitted for a stroke in the U.S. during the study period. The above findings support the existence of an “obesity paradox” in patients hospitalized following a stroke, similar to that described in other cardiovascular conditions.

ROLE OF DECOMPRESSIVE CRANIECTOMY IN MIDDLE CEREBRAL ARTERY INFARCT – AN INSTITUTIONAL STUDY

The role of decompressive craniectomy in stroke victims is gaining popularity,as it is found to be beneficial in malignant infarction of middle cerebral artery (MCA) territory which results in massive edema and brain swelling.

Non contrast enhanced volumetric histology of blood clots through high resolution propagation-based X-ray microtomography

We have demonstrated the capability of laboratory propagation-based microtomography (miroCT) in non-destructive 3D virtual histopathology of human blood clots without any contrast agent. The volumetric information are valuable to understand the mechanical properties of clots which are crucial in selecting the most efficient mechanical thrombectomy method for clot extraction. Different clot types retrieved by mechanical thrombectomy from patient victims of acute ischemic stroke were evaluated through propagation-based microCT. The results were correlated with high-resolution scanning electron microscopy (SEM) images, confirming detected cellular and fibrillary structures. Calcifications appeared as glassy opacity areas with relatively intense signal on microCT images, also proved by energy-dispersive spectroscopy and X-ray diffraction. Hyperintense regions on the microCT corresponded to individual or compact aggregates of red blood cells, whereas fibrin dominated volumes appeared at consistently moderate to low normalized microCT values. Red blood cell shapes and sizes are consistent with the SEM observations. Together with other potential parameters, 3D porosity distribution and volume fraction of structures can be easily measured by microCT data. Further development of automated post-processing techniques for X-ray propagation-based micro/nanoCT, also based on machine learning algorithms, can enable high throughput analysis of blood clot composition and their 3D histological features on large sample cohorts.

Automated cerebral microbleed detection using selective 3D gradient co-occurance matrix and convolutional neural network

Cerebral Microbleeds (CMBs) are small blood clots that form in the brains of many elderly and stroke victims. This promotes dementia as well as other physiological challenges in their daily activities. Early detection of CMBs is critical for limiting the long-term impacts that lead to confusing behavior. Because CMBs in the brain are so minute, manual identification by neurologists might be difficult at times, leading to misinterpretations. In this paper, we propound a newfangled feature extraction technique for the detection of CMB, by Selective 3D Gradient Co-occurance Matrix (S3DGCM). Our proposed framework efficiently detects the cerebral microbleeds (CMB) from magnetic resonance images by incorporating the Scharr Gradient operator with the concepts of the Co-occurance Matrix. The selected ROI was classified as CMB or non-CMB using a Convolutional Neural Network (CNN) classifier with Long Short Term Memory (LSTM) based on the extracted features from the S3DGCM. When compared with the previous methods, our method can extract more useful features which increase the accuracy rate in the detection process. The proposed work has been verified on two datasets containing MRI images with CMBs and Non-CMBs. The experimental results specify that our proposed scheme yields a promising result with the best sensitivity of 98.76%, specificity of 97.21%, an accuracy of 98.24%, and an F1-score of 98.76%.

EXOSKELETONS TO AID STROKE PATIENTS

Wearable powered exoskeletons are a new and emerging technology developed to provide sensory-guided limb assistance for those incapacitated by disease or accident. There have been spectacular examples of their use in aiding paraplegics and even quadraplegics to ‘walk’, but their use may also extend to stroke victims.