Inspiration
The global COVID-19 pandemic has introduced massive changes in both need and availability of telemedicine and telehealth services. Physicians have increased their use of telemedicine to care for individuals and populations who have difficulty accessing care because of geography, lack of available trained practitioners, or health limitations. If we can provide an application which would help in handling mental fitness, heart-rate monitoring and also a smart chatbot to be aware of symptoms and diseases and doctors needed to consult, then it would be highly beneficiary to the generation especially in this pandemic world. The motivation behind this idea was driven by wellness for the entire society in these times. People fret about their pulse or heartrate considering as a symptom for COVID, they suffer from anxiety or depression. They are unaware or worried about what symptoms would prompt what disease and which doctor to consult. Also a medical platform to order medicines online through a voice based chatbot would benefit the older generation as well. DrChono Telehealth made the linking of doctor appointments with the patients easier and smoother after the disease and doctor type were predicted by our chatbot. Once the video visit is scheduled, the patient will automatically receive an email that they have a video visit appointment with a link to launch the visit. DrChrono made these online appointments possible to be integrated in our application. Hence, our application MEDBAY comes to the rescue providing a one stop for all.
What it does
HEART RATE MONITORING SYSTEM Our application has an unique heart rate monitoring system, which is a non-contact based system to measure Heart Rate using real-time application using camera. Heart Rate (HR) is one of the most important Physiological parameter and a vital indicator of people‘s physiological state. The main principle is to extract heart rate information from facial skin color variation caused by blood circulation to monitor the user’s‘ physiological state Detect face, align and get ROI using facial landmarks Apply band pass filter with fl = 0.8 Hz and fh = 3 Hz, which are 48 and 180 bpm respectively Average color value of ROI in each frame is calculate pushed to a data buffer which is 150 in length FFT the data buffer. The highest peak is Heart rate Amplify color to make the color variation visible
Built With
- ajax
- artificial-intelligence
- bootstrap
- celery
- css3
- deep-learning
- django
- html5
- ibm-watson
- jquery
- machine-learning
- posnet
- postgresql
- python
- rasa-nlu
- recommendation-system
- tensorflow
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