Introduction. Aphasia is an impairment of language production and/or comprehension that is a common and severe consequence of stroke. 1-3 Aphasia diagnosis continues to follow a 19th century model of the neural basis of language, the Wernicke-Lichtheim model, which primarily focuses on three functional aspects of language: fluent speech production, auditory …
A cerebral infarction is a brain lesion in which a cluster of brain cells die when they don''t get enough blood. Major risk factors for cerebral infarction include Atherosclerosis, High blood pressure, Diabetes mellitus, Smoking and Obesity. Demographics and behavioral aspects play a major role in aggravating the chance of a stroke.
2018-7-13 · function and autoregulation in control LS. It is well known that the heart of SVMs vs ... classifier performance of sigmoid is high whenthe sum of a parameter γ and α is odd numbers. An improvement of classifier performance for NO assessment, when we vary ... 2.3 Endothelial barrier dysfunction in lacunar stroke 6 2.4 Oxidative stress and ...
2015-10-31 · Classification of Materials and Types of Classifiers. Size control of particles finer than 1 mm, are out of the practical range of conventional screens. Separation of such particles is carried out by classification. Classification …
2021-7-1 · Moreover, the volitional control of a robotic assistive device has been proposed to maximize the utility of an exoskeleton, which yielded better clinical outcomes of rehabilitation [6,7]. Surface electromyography (sEMG) processing has been used in volitional control of lower limb [ 8 ] and upper limb [ 9 ] exoskeleton assistive systems.
2019-1-25 · This paper presents a prototype to classify stroke that combines text mining tools and machine learning algorithms. Machine learning can be portrayed as a significant tracker in areas like surveillance, medicine, data management with the aid of suitably trained machine learning algorithms. Data mining techniques applied in this work give an overall review about the …
2020-11-13 · Acute ischemic stroke (AIS) is one of the leading causes of mortality and long-term disability worldwide. Our study aims to clarify the role of low-density lipoproteins (LDL) subclasses in the occurrence of AIS and develop a risk xprediction model based on these characteristics to identify high-risk people. Five hundred and sixty-six patients with AIS and 197 non-AIS …
To date, control strategies for such a device remain unknown. This work examines the feasibility of using two different linear discriminant analysis classifiers to control shoulder abduction and adduction as well as external and internal rotation simultaneously, two primary degrees of freedom that have gone largely unstudied in hemiparetic stroke.
2015-12-16 · Motivation Ischemic stroke, triggered by an obstruction in the cerebral blood supply, leads to infarction of the affected brain tissue. An accurate and reproducible automatic segmentation is of high interest, since the lesion volume is an important end-point for clinical trials. However, various factors, such as the high variance in lesion shape, location and …
2019-12-10 · Background With the character of high incidence, high prevalence and high mortality, stroke has brought a heavy burden to families and society in China. In 2009, the Ministry of Health of China launched the China national stroke screening and intervention program, which screens stroke and its risk factors and conducts high-risk population interventions for people …
2019-9-4 · Original Paper Use of Machine Learning Classifiers and Sensor Data to Detect Neurological Deficit in Stroke Patients Eunjeong Park1, PhD; Hyuk-Jae Chang2, MD, PhD; Hyo Suk Nam3, MD, PhD 1Cardiovascular Research Institute, Yonsei University College of Medicine, Seoul, Republic Of Korea 2Department of Cardiology, Yonsei University College of Medicine, …
2015-1-6 · All patients from the parent study who had confirmed strokes, and a control group of stroke mimics (those with final ED diagnoses of migraine or syncope), were selected for this study. All stroke patients underwent head CT scans. Some patients with negative CTs had further imaging with magnetic resonance imaging (MRI).
2021-9-7 · A. Davis and N. Gordillo, Automated detection of parenchymal changes of ischemic stroke in non-contrast computer tomography: A fuzzy approach, Biomed. Signal Process. Control 45 (2018) 117–127. Crossref, ISI, Google Scholar; 35. G.
2019-6-29 · control, the right time diagnosing and comprehensive analysis are other essential factors, which can ultimately save the lives [4]. Therefore, this paper has taken a small step towards saving the lives of HF patients and describes a way to improve the performance of diagnosing the patients on the bases of their medical history.
regression is a linear classifier frequently used for classifica-tion in medical literature,21 and the L1 penalty was imposed to control for the correlated nature of time series features and to prevent overfitting.22 We used the validation dataset to tune model hyper-parameters (Figure 2). For CNN, we assessed the following
2020-3-1 · In the group III, the classifiers needed more features to identify the motions of the flexion-extension wrist exercise, due to the fact that some volunteers presented muscle weakness to maintain the wrist raised. Future work will focus on the implementation of a feasible myoelectric control system to improve stroke rehabilitation.
2013-8-19 · This paper presents a study in task-oriented approach to stroke rehabilitation by controlling a haptic device via near-infrared spectroscopy-based brain-computer interface (BCI). The task is to command the haptic device to move in opposing directions of leftward and rightward movement. Our study consists of data acquisition, signal preprocessing, and classification. In …
2012-12-21 · This paper proposes a new multimodal architecture for gaze-independent brain-computer interface (BCI)-driven control of a robotic upper limb exoskeleton for stroke rehabilitation to provide active assistance in the execution of reaching tasks in a real setting scenario. At the level of action plan, the patient''s intention is decoded by means of an active vision system, …
2010-7-25 · How do American stroke risk functions perform in a western European population? Neuroepidemiology, 23(5):247--253, September-October 2004. Google Scholar Cross Ref; P. A. Wolf, R. B. D''Agostino, A. J. Belanger, and W. B. Kannel. Probability of stroke: a risk profile from the framingham study. Stroke, 22:312--318, March 1991. Google Scholar ...
2017-4-18 · Use of Machine Learning Classifiers and Sensor Data to Detect Neurological Deficit in Stroke Patients. Hyo Suk Nam, Department of Neurology, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemoon-gu, Seoul, 03722, Republic Of Korea, Phone: 82 2 2228 1617, Fax: 82 2 393 0705, Email: [email protected]
2018-7-1 · To date, control strategies for such a device remain unknown. This work examines the feasibility of using two different linear discriminant analysis classifiers to control shoulder abduction and adduction as well as external and internal rotation simultaneously, two primary degrees of freedom that have gone largely unstudied in hemiparetic stroke.
2018-5-19 · Maximizing the Usefulness of Statistical Classifiers for Two Populations Outline 1.Background and Motivation 2.Neutral Zones 3.Two-Stage Procedures ... • Stroke: 133,103 • Alzheimer''s disease: 93,541 • Diabetes: 76,488 ... control of False Positiv tˆ ...