Vital signs detection through a camera

2021 COE Engineering Design Project (NMK08)

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Faculty Lab Coordinator

Naimul Mefraz Khan

Topic Category

Software Systems

Preamble

monitoring vital signs such as heartrate, blood pressure, oxygen saturation is a very important aspect in different application areas such as remote patient monitoring, exercise, baby monitoring etc. Traditional means of vital signs monitoring requires attaching a sensor to the subject under monitor. An alternative is an entirely computer vision-based approach, where the vital signs are extracted just from an image/video.

Objective

To create a vital signs detection app (mobile or web) that can detect and display multiple vital signs in real-time through a video stream from a mobile or web camera.

Partial Specifications

1. A mobile or web camera streams video to the app.
2. The app utilizes machine learning algorithms to extract vital signs from the image/video.
3. The extracted vital signs are shown as an overlay on the video stream.
4. Any urgent issues detected in the vital signs (e.g. high heartrate) is displayed with an alert.

Suggested Approach

1. Study vital signs detection algorithms. Many existing ML approaches can do this from camera images.
2. Find an algorithm that is fast enough to do this in real-time.
3. Validate the approach with benchmark datasets.
4. Create a demonstrable product where the extracted vital signs can be validated by simultaneously wearing a wearable such as a smartwatch.

Group Responsibilities

See Suggested Approach

Student A Responsibilities

Study existing algorithms to decide on the fastest approach

Student B Responsibilities

Study existing algorithms to decide on the fastest approach

Student C Responsibilities

Displaying vital signs on the user interface, create alerts for critical events

Student D Responsibilities

Web/mobile app development

Course Co-requisites

To ALL EDP Students

Due to COVID-19 pandemic, in the event University is not open for in-class/in-lab activities during the Winter term, your EDP topic specifications, requirements, implementations, and assessment methods will be adjusted by your FLCs at their discretion.