Health

 This dataset is in support of my research paper 'Comparative Control Loop Stability & Eigen Analysis of Transfer Functions in 7.5 Hp BLDC Sensorless SMO'.

Preprint :

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Glaucoma is the leading cause of irreversible blindness in the world, and primary angle closure glaucoma (PACG) is one of the main subtypes. PACG patients have narrow chamber angle and can be diagnosed by goniscopy, which may cause discomfort and relies too much on personal experience. Anterior segment OCT is able to provide 3D scan of the anterior chamber and assist the ophthalmologists evaluate the condition of chamber angle. It’s faster and objective compare with goniscopy.

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621 Views

Welcome to the Retinal Fundus Glaucoma Challenge! REFUGE was organized as a half day Challenge in conjunction with the 5th MICCAI Workshop on Ophthalmic Medical Image Analysis (OMIA), a Satellite Event of the MICCAI 2018 conference in Granada, Spain. The goal of the challenge is to evaluate and compare automated algorithms for glaucoma detection and optic disc/cup segmentation on a common dataset of retinal fundus images. With this challenge, we made available a large dataset of 1200 annotated retinal fundus images.

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ackground

Effects of plants on glucose metabolism have been highlighted and are of particular interest in Type 2 Diabetes (T2DM). Zingiber Officinale (ZO) for instance, is a plant widely used as a spice, known for its hypoglycaemic and hypolipidaemic virtues. However, few studies were conducted in humans, and none have used reference methods for assessing glucose metabolism. The study aims to evaluate the effect of ginger extracts supplementation on diabetes mellitus patients metabolic profile.

Aim

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Abstract

 

Background

Recent researches suggest assessing more ethnic disparities in hypertension (HTN). On the other hand, studies reveal impressive mortality rates due to cardiovascular diseases for some breeds compared to others.

Method

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In order to study the application of machine learning in myoelectric data, the machine learning method has been used for data mining and analysis so as to find correlation characteristics. More than 2,300 myoelectric examination data from Sichuan Provincial Hospital of Traditional Chinese Medicine (TCM) for 10 months has been collected and recorded. By means of setting the inclusion criteria and excluding the irrelevant factors, the facial nerve electromyography and auditory brainstem response test reports that meet the research criteria have been screened out.

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Video dataset of 102 participants for the paper "Learning deep representations for video-based intake gesture detection"

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110 Views

Facial paralysis is the loss of facial muscle movement

either in one side or both sides of the face due to the facial

nerve damage. Currently, the subjective assessments are widely

used techniques to determine the measure of degree with which

the patient is affected. However, the subjective assessments are

highly dependant on the expert’s view and a few sets of grading

rules. In this paper, the quantitative assessment to measure the

degree of facial paralysis is proposed. The video database of

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The data set with 20,936 data records and 525 attributes concerns Chinese healthcare and insurance.

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The pressure sensors are represented by black circles, which are located in the three zones of each foot. For the left foot: S1 and S2 cover the forefoot area. S3, S4, and S5 the midfoot area. S6 and S7 the rearfoot or heel area. Similarly, for the right foot: S8 and S9 represent the forefoot area. S10, S11, S12 the midfoot area. S13 and S14 the heel area. The values of each sensor are read by the analog inputs of an Arduino mega 2560.

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