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Source: Journal of Medical Systems
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Total 27 results found since Jan 2013.
Multi-Feature Fusion Method Based on EEG Signal and its Application in Stroke Classification
AbstractElectroencephalogram (EEG) analysis has been widely used in the diagnosis of stroke diseases for its low cost and noninvasive characteristics. In order to classify the EEG signals of stroke patients with cerebral infarction and cerebral hemorrhage, this paper proposes a novel EEG stroke signal classification method. This method has two highlights. The first is that a multi-feature fusion method is given by combining wavelet packet energy, fuzzy entropy and hierarchical theory. The second highlight is that a suitable classification model based on ensemble classifier is constructed for perfectly classification stroke...
Source: Journal of Medical Systems - December 20, 2019 Category: Information Technology Source Type: research
Home-Based Rehabilitation System for Stroke Survivors: A Clinical Evaluation
AbstractRecently, a home-based rehabilitation system for stroke survivors (Baptista et al. Comput. Meth. Prog. Biomed. 176:111 –1202019), composed of two linked applications (one for the therapist and another one for the patient), has been introduced. The proposed system has been previously tested on healthy subjects. However, for a fair evaluation, it is necessary to carry out a clinical study considering stroke survivors. This work aims at evaluating the home-based rehabilitation system on 10 chronic post-stroke spastic patients. For this purpose, each patient carries out two exercises implying the motion of the spasti...
Source: Journal of Medical Systems - October 28, 2020 Category: Information Technology Source Type: research
Effect of Watermarking on Diagnostic Preservation of Atherosclerotic Ultrasound Video in Stroke Telemedicine
Abstract
Embedding of diagnostic and health care information requires secure encryption and watermarking. This research paper presents a comprehensive study for the behavior of some well established watermarking algorithms in frequency domain for the preservation of stroke-based diagnostic parameters. Two different sets of watermarking algorithms namely: two correlation-based (binary logo hiding) and two singular value decomposition (SVD)-based (gray logo hiding) watermarking algorithms are used for embedding ownership logo. The diagnostic parameters in atherosclerotic plaque ultrasound video are namely: (a) bulb...
Source: Journal of Medical Systems - February 10, 2016 Category: Information Technology Source Type: research
Plaque Tissue Morphology-Based Stroke Risk Stratification Using Carotid Ultrasound: A Polling-Based PCA Learning Paradigm
AbstractSevere atherosclerosis disease in carotid arteries causes stenosis which in turn leads to stroke. Machine learning systems have been previously developed for plaque wall risk assessment using morphology-based characterization. The fundamental assumption in such systems is the extraction of the grayscale features of the plaque region. Even though these systems have the ability to perform risk stratification, they lack the ability to achieve higher performance due their inability to select and retain dominant features. This paper introduces a polling-based principal component analysis (PCA) strategy embedded in the m...
Source: Journal of Medical Systems - May 13, 2017 Category: Information Technology Source Type: research
Patient-Tailored Augmented Reality Games for Assessing Upper Extremity Motor Impairments in Parkinson ’s Disease and Stroke
In this study, we explore the potential of AR for evaluating 1) speed and goal-directedness of movements within the individually determined interaction space, 2) adaptation of hand opening to objects of different sizes, and 3) obstacle avoidance in healthy individuals (N = 10) and two highly prevalent neurological conditions (N = 10 patients with Parkinson’s Disease andN = 10 stroke patients). We successfully implemented three AR games to evaluate these key aspects of motor function. As expected, PD patients moved slower than controls and needed more time for task completion. No differences were observed betw...
Source: Journal of Medical Systems - October 30, 2018 Category: Information Technology Source Type: research
Analysis of the Factors Related to the Effectiveness of Transcranial Current Stimulation in Upper Limb Motor Function Recovery after Stroke: a Systematic Review
In conclusion, there is not significant evidence due to heterogeneity of clinical data and therapies. Clinical studies with greater number of participants and protocols standardized could outline this assessment in future studies.
Source: Journal of Medical Systems - February 8, 2019 Category: Information Technology Source Type: research
EEG-NIRS Based Assessment of Neurovascular Coupling During Anodal Transcranial Direct Current Stimulation - a Stroke Case Series
In this study, the hemodynamic response was estimated with NIRS. NIRS recorded changes in oxy-hemoglobin (HbO2) and deoxy-hemoglobin (Hb) concentrations during anodal tDCS-induced activation of the cortical region located under the electrode and in-between the light sources and detectors. Anodal tDCS-induced alterations in the underlying neuronal current generators were also captured with EEG. Then, a method for the assessment of NVC underlying the site of anodal tDCS was proposed that leverages the Hilbert-Huang Transform. The case series including four chronic (>6 months) ischemic stroke survivors (3 males, 1 female ...
Source: Journal of Medical Systems - February 17, 2015 Category: Information Technology Source Type: research
Combined Transcranial Direct Current Stimulation and Virtual Reality-Based Paradigm for Upper Limb Rehabilitation in Individuals with Restricted Movements. A Feasibility Study with a Chronic Stroke Survivor with Severe Hemiparesis
We present a virtual reality-based paradigm for upper limb rehabilitation that allows for interaction of individuals with restricted movements from active responses triggered when they attempt to perform a movement. The experimental system also provides multisensory stimulation in the visual, auditory, and tactile channels, and transcranial direct current stimulation coherent to the observed movements. A feasibility study with a chronic stroke survivor with severe hemiparesis who seemed to reach a rehabilitation plateau after two years of its inclusion in a physical therapy program showed clinically meaningful improvement ...
Source: Journal of Medical Systems - April 2, 2018 Category: Information Technology Source Type: research
Digitized Hand Skateboard Based on IR-Camera for Upper Limb Rehabilitation
The objective of this study is to integrate IR-camera, an infrared emitter, with a conventional passive hand skateboard training device for conventional upper limb training and the training process is comprehensively recorded and analyzed. Patients participating in the occupational therapy have a binding band attached to hand skateboard on the table to guide the patient in moving the hand skateboard along the designated path to train the patient’s upper limbs. Six people wit h normal upper limb function participated in the stability test. The device repeatability and test results were verified acceptable. Eight patients ...
Source: Journal of Medical Systems - January 12, 2017 Category: Information Technology Source Type: research
Computer-Aided Diagnosis and Clinical Trials of Cardiovascular Diseases Based on Artificial Intelligence Technologies for Risk-Early Warning Model
AbstractThe use of artificial intelligence in medicine is currently an issue of great interest, especially with regard to the diagnostic or predictive analysis of medical data. In order to achieve the regional medical and public health data analysis through artificial intelligence technologies, spark data analysis is adopted as the research platform for hypertension patients, and artificial intelligence technologies are used to preprocess the data with inconsistency, redundancy, incompleteness, noise and error; Aiming at the unbalanced data sets, the Z-score standard is adopted to convert data into usable form suitable for...
Source: Journal of Medical Systems - June 12, 2019 Category: Information Technology Source Type: research
Prevalence and Diagnosis of Neurological Disorders Using Different Deep Learning Techniques: A Meta-Analysis
This study confers the discipline, frameworks, and methodologies used by different deep learning techniques to diagnose different human neurological disorders. Here, one hundred and thirty-six different articles related to neurological and neuropsychiatric disorders diagnosed using different deep learning techniques are studied. The morbidity and mortality rate of major neuropsychiatric and neurological disorders has also bee n delineated. The performance and publication trend of different deep learning techniques employed in the investigation of these diseases has been examined and analyzed. Different performance metrics ...
Source: Journal of Medical Systems - January 3, 2020 Category: Information Technology Source Type: research
Upper Limb Movement Classification Via Electromyographic Signals and an Enhanced Probabilistic Network
AbstractFew studies in the literature have researched the use of surface electromyography (sEMG) for motor assessment post-stroke due to the complexity of this type of signal. However, recent advances in signal processing and machine learning have provided fresh opportunities for analyzing complex, non-linear, non-stationary signals, such as sEMG. This paper presents a method for identification of the upper limb movements from sEMG signals using a combination of digital signal processing, that is discrete wavelet transform, and the enhanced probabilistic neural network (EPNN). To explore the potential of sEMG signals for m...
Source: Journal of Medical Systems - August 22, 2020 Category: Information Technology Source Type: research
A Pathophysiological Model-Driven Communication for Dynamic Distributed Medical Best Practice Guidance Systems
AbstractThere is a great divide between rural and urban areas, particularly in medical emergency care. Although medical best practice guidelines exist and are in hospital handbooks, they are often lengthy and difficult to apply clinically. The challenges are exaggerated for doctors in rural areas and emergency medical technicians (EMT) during patient transport. In this paper, we propose the concept of distributed executable medical best practice guidance systems to assist adherence to best practice from the time that a patient first presents at a rural hospital, through diagnosis and ambulance transfer to arrival and treat...
Source: Journal of Medical Systems - September 14, 2016 Category: Information Technology Source Type: research
Processing Time Reduction: an Application in Living Human High-Resolution Diffusion Magnetic Resonance Imaging Data
AbstractHigh Angular Resolution Diffusion Imaging (HARDI) is a type of brain imaging that collects a very large amount of data, and if many subjects are considered then it amounts to a big data framework (e.g., the human connectome project has 20 Terabytes of data). HARDI is also becoming increasingly relevant for clinical settings (e.g., detecting early cerebral ischemic changes in acute stroke, and in pre-clinical assessment of white matter-WM anatomy using tractography). Thus, this method is becoming a routine assessment in clinical settings. In such settings, the computation time is critical, and finding forms of reduc...
Source: Journal of Medical Systems - September 28, 2016 Category: Information Technology Source Type: research
The Effect of a Clinical Decision Support System on Improving Adherence to Guideline in the Treatment of Atrial Fibrillation: An Interrupted Time Series Study
This study had an interrupted time series design. The adherence to the guideline was assessed at fortnightly (two weeks) intervals from January 2016 to January 2017, 6 months before and 6 months after intervention. Newly diagnosed patients with AF were included in the offices of ten cardiologists. Stroke and major bleeding risks were calculated by the CDSS which was implemented via a mobile application. Treatment recommendations based on the guideline were show n to cardiologists. The segmented regression model was used to evaluate the effect of CDSS on level and trend of guideline adherence for the treatment of AF. In ...
Source: Journal of Medical Systems - December 23, 2017 Category: Information Technology Source Type: research
