Medical
How it Works:
The electronically operated myoelectric prosthetic hand is an innovative device designed to mimic the natural movements of a human hand. It operates using a battery and an EMG (Electromyographic) sensor to detect electrical activity in the muscles.
The gold standard for imaging to treat cardiovascular disease (leading cause of death worldwide) involves the use of X-ray fluoroscopy for device tracking. Prolonged exposure to X-ray radiation can lead to long-term health complications for both cardiologists and patients.
Liver diseases affect approximately one third of the worldwide adult population, and often remain undiagnosed until reaching severe stages due to the liver's lack of pain sensors. The current gold standard, biopsy, is invasive, expensive, and unsuitable for wide-scale screening.
EyeGuard is a revolutionary small device designed for people with eye illnesses and those who frequently use computers. Easily installable on any pair of glasses, EyeGuard is virtually unnoticeable due to its compact size and comfortable fit.
Problem Solved
EyeGuard addresses the need for continuous eye health monitoring,
Finally Quiet! is the first patented medical-grade technology that neutralizes vibrations in the patient's jaw during dental procedures, significantly reducing discomfort and accelerating procedure time. Our system also halts the progression of noise-induced irreversible hearing loss among dental staff,
There are many people who want to lose weight, such as older adults aged 50-60 and young mothers who gain weight due to a sedentary lifestyle or hormonal changes.
All these individuals desire to lose weight and have a healthy body, but unfortunately,
To improve quality of life for people with limited head or neck control, this innovation comfortably provides head support from the forehead instead of the chin, to allow eating, talking, side-to-side and up-down motion, while eliminating jaw discomfort from traditional neck braces.
This project presents a comprehensive system for predicting retinal diseases from fundus images using deep learning, particularly the InceptionV3 model, fine-tuned on a curated dataset. It also evaluates the risk of heart failure based on specific retinal disease predictions. Implemented as a Flask web application,
Overview: Bioelectronic fibers close to the size of a human hair may soon enable healthcare professionals to read signals and stimulate target regions within the human body in a minimally invasive manner.
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