New concept high quality high performance hearing aid
A typical hearing aid can't be distinguished by mixing sounds in noisy places or in a multi-person voice environment.
This is due to the limited performance of the amplifier inside the hearing aid. This may be due to the lack of linearity of the amplifier, or because of transistor-specific characteristics.
By applying high-quality amplifier technology to these hearing aids, several sounds can be separated and listened well.
- When the material is supplemented, I will clean it up and repost it. -
A typical hearing aid can't be distinguished by mixing sounds in noisy places or in a multi-person voice environment.
This is due to the limited performance of the amplifier inside the hearing aid. This may be due to the lack of linearity of the amplifier, or because of transistor-specific characteristics.
By applying high-quality amplifier technology to these hearing aids, several sounds can be separated and listened well.
These data was used to find out the relationship between Blood pressure, Hypertension Occurence and Dietary Calcum intake in Rural and Urban located populations.
Multi-modal Exercises Dataset is a multi- sensor, multi-modal dataset, implemented to benchmark Human Activity Recognition(HAR) and Multi-modal Fusion algorithms. Collection of this dataset was inspired by the need for recognising and evaluating quality of exercise performance to support patients with Musculoskeletal Disorders(MSD).The MEx Dataset contains data from 25 people recorded with four sensors, 2 accelerometers, a pressure mat and a depth camera.
Hyperspectral (HS) imaging presents itself as a non-contact, non-ionizing and non-invasive technique, proven to be suitable for medical diagnosis. However, the volume of information contained in these images makes difficult providing the surgeon with information about the boundaries in real-time. To that end, High-Performance-Computing (HPC) platforms become necessary. This paper presents a comparison between the performances provided by five different HPC platforms while processing a spatial-spectral approach to classify HS images, assessing their main benefits and drawbacks.
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.
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.
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.
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.
