Project Description

COMPANY BACKGROUND

The Future Care (UK) Ltd is based in North London. We are developing a precision remote monitoring device with an integrated digital stethoscope. We are keen to explore

1. Signal processing of sound recordings
To differentiate the sound and isolate heart and lungs sounds for other sounds.


2. Visualise the heart and lungs sound to create a non-subjective way of interpreting the sounds. This will be to help detect what is normal and what might be an abnormal sound indicating a decline in health.

PROJECT SCOPE

In this project we focus on the following:

1. Signal processing of sound recordings
To separate/differentiate sounds heart and lung and separate/isolate other body sounds. Data processing and data analytics should not be a problem for ITSS students. the data will be provided and does not need to be gathered by the students.


2. Visualise the sound that the heart and lungs make to create a non-subjective way of interpreting the sounds by visualising the sound and then detecting visually changes in heart and lung sounds to predict/prevent decline in health.

Further discussions will ensue around what this data visualization might look like and the tools needed to deliver the outcome.

STUDENT TEAMS

To analyse the vital signs and sound from an integrated stethoscope data output from our Puffin device, we will provide the student teams with a sample data set of 25 adult volunteers who will each undergo and respond to a structured 5min physical routine to stress test the sensors this data will be help on our MS AZURE analytics platform.

Each volunteer participant will have their own ID and profile.

The student teams develop a brief based on the outline and conversation at the beginning of the project, and follow-it though with the agreed outcomes and deliverables. We also appreciate that the data may be beyond the remit of the course and students, so we are taking a +ve approach to mid-development review of the project, and if necessary agree to pivot and express lessons learnt. This agile approach is just as important as an outcome one way or another.

Future Care (FC) will meet weekly with the student teams to support/mentor students throughout the period of these projects.

FC are also not data experts but do work with a Prof of Signal Processing and AI at Nottingham Trent Uni in UK. The student teams carrying out the research will be introduced to colleagues to assist in any technical questions or topics requiring further analysis.