Project

# Title Team Members TA Documents Sponsor
22 Adherascent
 Dhiraj Dayal Bijinepally
Hardhik Tarigonda
Jonathan Liu
 Shiyuan Duan design_document1.pdf
proposal1.pdf
TITLE ADHERASCENT

Team Members:

Jonathan Liu (jliu268)
Hardhik Tarigonda (Htarig2)
Dhiraj Bijinepally (Ddb3)
PROBLEM

Approximately 66% of adults in the United States take prescription medication. These can range from painkillers after surgery to essential life saving drugs. Common between all of these medications is the importance of taking them on time and on a schedule to maximize effectiveness. Adherascent is a program/device that helps individuals remember to take their medications. This is primarily aimed towards older adults, however anyone can use this device if they require it.

SOLUTION

Adherascent is a system composed of three subsystems: a wearable scent device, a mobile application, and a smart pillbox. The app provides the initial notification. If the notification is not addressed, the wearable escalates reminders using scent cues. The pillbox provides clear, per-compartment visual cues to indicate which medication should be taken, and it allows the user to confirm intake.

SOLUTION COMPONENTS

Adherascent consists of two main components. The phone application that interacts with the wearable device and the scent-releasing mechanism attached to a wearable device.

SUBSYSTEM 1

The wearable device acts as a second reminder to take medication. Instead of relying solely on a single cue such as audio or visual, Adherascent utilizes the sense of smell to prompt action. At first, the app reminds the individual to take their medication. If the person dismisses the notification and takes their medication, the wearable device will not activate. However, if the notification is left unaddressed for over 5 minutes, the device activates. The Adherascent wearable emits a scent with varying intensity to escalate urgency. The working idea is to implement this using clock cycles: 1000 cycles: scent is initially released into the air.

2000 cycles: scent increases in intensity.

3000 cycles: scent reaches maximum intensity to strongly notify the user.

This approach ensures reminders are multi-sensory and persistent, reducing the chance of a missed dose.

We plan on utilizing technology similar to electronic air fresheners to emit the scent. The acceptable time before ramping the scent intensity depends on the nature of the individuals condition. If 5r medicine is urgent, it could skip the ramping process and immediately emit at maximum intensity from the start. It is possible that we can add a function in the app to adjust the time between reminders and scent intensity.

SUBSYSTEM 2

The mobile app manages medication schedules and reminders. It sends a notification at the correct time and provides the first opportunity for the user to act. If the user dismisses the notification, the reminder is considered addressed, and no further action is taken.

If the notification is ignored, the app sends a signal via Bluetooth to both the wearable device and the smart pillbox to activate.

This central coordination ensures all subsystems work together to escalate reminders only when necessary.

SUBSYSTEM 3

The smart pillbox provides a direct, physical reminder by lighting up the specific compartment corresponding to the medication due at that day and time. This not only alerts the user but also guides them to the correct pill, reducing confusion or mistakes. The pillbox also includes a confirmation method (such as a button or touch input) that allows the user to acknowledge that they have taken their medication. Once confirmation is received, the pillbox sends the acknowledgment to the app, ensuring the wearable device does not continue escalating. If no confirmation is received, the system proceeds with wearable activation, maintaining redundancy in reminders.


We are working with Professor Steven Walter Hill, Gaurav Nigam ,Venkat Eswara Tummala and Brian Mehdian.

STRE&M: Automated Urinalysis (Pitched Project)

Gage Gulley, Adrian Jimenez, Yichi Zhang

STRE&M: Automated Urinalysis (Pitched Project)

Featured Project

Team Members:

- Gage Gulley (ggulley2)

- Adrian Jimenez (adrianj2)

- Yichi Zhang (yichi7)

The STRE&M: Automated Urinalysis project was pitched by Mukul Govande and Ryan Monjazeb in conjunction with the Carle Illinois College of Medicine.

#Problem:

Urine tests are critical tools used in medicine to detect and manage chronic diseases. These tests are often over the span of 24 hours and require a patient to collect their own sample and return it to a lab. With this inconvenience in current procedures, many patients do not get tested often, which makes it difficult for care providers to catch illnesses quickly.

The tedious process of going to a lab for urinalysis creates a demand for an “all-in-one” automated system capable of performing this urinalysis, and this is where the STRE&M device comes in. The current prototype is capable of collecting a sample and pushing it to a viewing window. However, once it gets to the viewing window there is currently not an automated way to analyze the sample without manually looking through a microscope, which greatly reduces throughput. Our challenge is to find a way to automate the data collection from a sample and provide an interface for a medical professional to view the results.

# Solution

Our solution is to build an imaging system with integrated microscopy and absorption spectroscopy that is capable of transferring the captured images to a server. When the sample is collected through the initial prototype our device will magnify and capture the sample as well as utilize an absorbance sensor to identify and quantify the casts, bacteria, and cells that are in the sample. These images will then be transferred and uploaded to a server for analysis. We will then integrate our device into the existing prototype.

# Solution Components

## Subsystem1 (Light Source)

We will use a light source that can vary its wavelengths from 190-400 nm with a sampling interval of 5 nm to allow for spectroscopy analysis of the urine sample.

## Subsystem2 (Digital Microscope)

This subsystem will consist of a compact microscope with auto-focus, at least 100x magnification, and have a digital shutter trigger.

## Subsystem3 (Absorbance Sensor)

To get the spectroscopy analysis, we also need to have an absorbance sensor to collect the light that passes through the urine sample. Therefore, an absorbance sensor is installed right behind the light source to get the spectrum of the urine sample.

## Subsystem4 (Control Unit)

The control system will consist of a microcontroller. The microcontroller will be able to get data from the microscope and the absorbance sensor and send data to the server. We will also write code for the microcontroller to control the light source. ESP32-S3-WROOM-1 will be used as our microcontroller since it has a built-in WIFI module.

## Subsystem5 (Power system)

The power system is mainly used to power the microcontroller. A 9-V battery will be used to power the microcontroller.

# Criterion For Success

- The overall project can be integrated into the existing STRE&M prototype.

- There should be wireless transfer of images and data to a user-interface (either phone or computer) for interpretation

- The system should be housed in a water-resistant covering with dimensions less than 6 x 4 x 4 inches

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