GlycoTrem, Fatigue & Hypoglycemia Monitoring using Wearables
Tags: octograd2020
Published: 2020-05-20 05:14:53

[Comment]: # (All of this is placeholder text. Use this format or any other format of your choosing to best describe your project and experience.)

[Note]: # (If you used the GitHub Student Developer Pack on your project, add the "#githubsdp" tag above. We’d also love to know which services you used and how you used it!)

## Before we get started;
This is a project that I worked on with my colleague Ghida Dandan at Texas A&M University. Typically, senior design projects have three to four members. We were a two person team. I'd like to start by congratulating Ghida on graduating (Whoop!). 

We were awarded first place for the best project presentation and second place for the best project demo by the review committee that was composed of internal and external judges in industry.


## What is it? 
![GlycoTrem Logo](https://glycotrem.com/wp-content/uploads/2019/12/logo-1.png)
This was my senior design project spanning two semesters at Texas A&M University. The project aims to use common wearable devices (sensors and smartwatches) to detect fatigue and hypoglycemia events through their characteristic tremors.

## How does it work?
Physiological tremors are tremors that people get constantly for a variety of reasons. The frequency of these tremors can be used to pinpoint with low accuracy their cause. For instance, tremors in the ~8Hz to 14Hz range include the fatigue and hypoglycemia specific tremors that GlycoTrem aims to monitor.

The project consists of two components: 1) an Android Wear application that can make use of any smartwatch equipped with an accelerometer & 2) an Android (phone) application that makes use of BLE sensors from Mbientlab.

Both applications continuously monitor and log the frequency of extremity tremors in the wrist (smartwatch) and fingers (BLE sensor worn in a ring enclosure). An algorithm that we developed looks for the characteristic frequency/amplitude values that suggest either fatigue or a hypoglycemic events and sends an alert to the user.

![GlycoTrem Applications] (https://glycotrem.com/wp-content/uploads/2020/04/combine-e1587221678644-1.png)
![Alert Notification](https://glycotrem.com/wp-content/uploads/2020/04/1024-18432222.png)

## Demo Link
The project presentation video can be found here: https://youtu.be/HfvsvgLdULc
The project demo can be found here: https://youtu.be/aRNp_6JPBnI
You can visit the project website at https://glycotrem.com
The website contains a few screenshots of the applications that were developed and how they work.
 

## Link to Code

Unfortunately, our mentors intend to patent this work and protect it. That means that I will not be able to offer a direct link to the code. However, I am planning to release the source code excluding the detection algorithm on my GitHub account in the future! :)


## Additional Thoughts / Feelings / Stories

The road ahead is quite uncertain, and the challenges we face as the 2020 graduating batch are unprecedented. But I have hope that there is light at the end of the tunnel.

Things will get better... 

Thanks and Gig'Em! 
[Final Note]: # (CONGRATULATIONS!!! You are amazing!)