This is a free open source telemedicine project which helps doctors and patients connect via video call.
-
Updated
Aug 6, 2023 - CSS
This is a free open source telemedicine project which helps doctors and patients connect via video call.
Backend for the HCW@home remote consultation tool
OpenTera - Open TeleRehabilitation Server and Micro-Services
Sample code and documentation for building virtual meetings with Office 365
Synapse’s second feature involves a smart, automated Pulse Oximeter that accurately and remotely measures heart rate (HR) and blood oxygen saturation (Spo2 level) of patients. This feature is really important because it helps patients prevent blood clots, sudden cardiac arrests, and heart failure. The Pulse Oximeter utilizes camera sensors embed…
Simplifying healthcare access with an intuitive doctor appointment booking system for efficient patient-doctor coordination.
The mobile application for the MORE platform.
eConsult Website (For Patients)
The Vue Frontend for the Studymanager
Locofy Telehealth Application
Built a convolutional neural network to detect visual symptoms of medical conditions in eye images, along with a Flask application allowing users to upload their own pictures and receive real-time predictions
TeleHealth App is a HIPAA-compliant telemedicine option that provides providers and patients with a wide range of secure meeting tools. This platform allows for video calls, chats, and phone calls in a secure, on-the-go cloud system.
The Data gateway for the MORE platform.
The Backend for the More Studymanager
Health at Hand’s mobile SDK project; known as HAH Connect; is developed for mobile application developers to integrate HAH telehealth platform with native iOS and Android mobile apps. These libraries will enable your mobile app to become a telehealth solution and offer on-demand video consultations with HAH doctors.
We proposed a 24/7 health care surveillance system through which the vital human organ activities are first sensed by the pulse and temperature wearable sensors, then this data is processed by passing through a microcontroller (Arduino UNO) and hardware high pass – filters, after that the meaningful data from the microcontroller in real-time is …
Add a description, image, and links to the telehealth topic page so that developers can more easily learn about it.
To associate your repository with the telehealth topic, visit your repo's landing page and select "manage topics."