An automatic Pain Detection CNN model, designed and processed in PyTorch
-
Updated
Sep 13, 2021 - Jupyter Notebook
An automatic Pain Detection CNN model, designed and processed in PyTorch
Pre-H back end infrastructure: some RESTful Web Services to model Patients' digital twins for emergency and trauma management in Smart Hospitals
Designing a safety critical smart hospital management system, modelling it using UML/NFA, creating formal specifications using TLA+ and verifying it using TLC Model Checker.
The Smart Healthcare System digitizes patient records and scheduling in Sri Lankan hospitals, streamlining healthcare delivery, reducing costs, and enabling patients to manage appointments, records, and treatments through a web or mobile interface.
Design and implementation of a WiFi tracking module where a bracelet can be attached to an object and the user can localize and track the current location of the object in real time through either a mobile application or a website
A complete system that digitalizes the cycle of managing the medical assets in healthcare facilities. The system is the solution to reduce the randomness of the medical asset management process making it less error prone by keeping track of the Devices’ status by supplying every device with a specific QR code and scanning it for reporting a malf…
Designing a safety critical smart hospital management system, modelling it using UML/NFA, creating formal specifications using TLA+ and verifying it using TLC Model Checker.
IoT Project 5 Assignment - Smart Health monitoring system for Infants
Implementation of a WiFi tracking module where a bracelet can be attached to an object and the user can localize and track the current location of the object in real time through either a mobile application or a website
An automatic temperature & posture controller prototype for hospital beds. My first project using Embedded C and the Atmega328p MCU
Hospital Web App with NLP-based Disease Search Engine and Doctor Recommendation. We have developed a comprehensive and innovative hospital web application aimed at enhancing the healthcare experience for patients. Our app combines cutting-edge technology React and Python based Natural Language Processing (NLP).
System that collects the patient's vital signs with the help of a few sensors and send them to the doctor using WiFi module to keep the doctors updated all the time.
Add a description, image, and links to the smart-hospitals topic page so that developers can more easily learn about it.
To associate your repository with the smart-hospitals topic, visit your repo's landing page and select "manage topics."