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Mobile symptom reporting apps can conveniently gather health-related information at low cost from day to day, fundamentally altering the relationship between patients, health data, and care providers. However, current mobile systems face a difficult trade-off between the quality of the information they collect and the burden placed on patients. In this paper, we propose an algorithm for adaptive system...
Particular Regional Atrophy analysis of structural magnetic resonance image (MRI) of the brain may provide quantitative evidence of different neurodegenerative diseases, which will help to identify the Brain diseases. Multiple sclerosis (MS) is one of the most common diseases which affect white matter. Multiple sclerosis is a chronic idiopathic disease resulted in multiple areas of inflammatory demyelization...
The large number of false positives that result when automatic algorithms are considered for segmenting small multiple sclerosis lesions in magnetic resonance imaging hampers the posterior evaluation of lesion load. To address this problem we propose a fuzzy system which can improve the differentiation between true and false positive detections in proton density- and T2-weighted images. On the basis...
In this paper we present an algorithm for detecting hyperintense regions in brain images acquired by Magnetic Resonance Imaging. The work is part of a more general research oriented to the design of support tools that assist the healthcare experts in their research activities on brain diseases. The algorithm has been focused on the detection of small multiple sclerosis lesions in PD- and T2-weighted...
A combined 450,000 Americans suffer from multiple sclerosis, chronic carpal tunnel syndrome, and muscular dystrophy; debilitative disorders that result in a loss of muscle strength and dexterity within the afflicted individual. A controlled orthotic exoskeleton presents a solution by amplifying a user's residual strength to restore precision pinch and/or power grasp motions. In order to optimize system...
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