Fetal Health Detection App
Cardiotocography (CTG) is the means of measuring the fetal heart rate, movements and uterine contractions, thus continuously monitoring the health of the mother and child. Deep learning models can be used to detect fetal health in order to prevent child and maternal mortality.
keras Sensors signal medical fetus
Gesture Recognition App Using Muscle Activity
Electromyography is a technique for recording and evaluating electrical acitvity produced in the skeletal muscles. The readings from the muscle activity sensor is then fed to a model that can be trained on gestures, and can be used in various applications like prosthetic arms, game control etc.
tinyML keras Sensors health Electromyography
Malaria Parasite Detection App
Malaria is a life-threatening disease caused by parasites that are transmitted to people through the bites of infected female Anopheles mosquitoes. This notebook uses Convolutional Neural Networks to predict if a thin blood smear is parasitic or uninfected in nature.
vision tinyML keras CNN Sensors
Heart Disease Prediction App
This project will focus on predicting heart disease using neural networks. Based on attributes such as blood pressure, cholestoral levels, heart rate, and other characteristic attributes, patients will be classified according to varying degrees of coronary artery disease. This project will utilize a dataset of 303 patients and distributed by the UCI Deep Learning Repository.
keras Sensors medical heart disease