Project Overview

Our team developed an innovative, user-friendly device designed to monitor and help manage stress through real-time analysis of heart rate variability (HRV). By combining advanced signal processing techniques with a gamified user interface, the device provides an interactive approach to understanding and potentially reducing autonomic nervous system stress.

Key Technical Features

• Utilizes an AD8232 single-lead heart rate monitor chip and National Instruments DAQ system

• Performs complex signal processing, including:

  • Time domain analysis of R-R intervals

  • Frequency domain power spectral density (PSD) analysis

  • Heart rate variability (HRV) calculations

• Integrated custom MATLAB-based graphical user interfaces for both patients and clinical professionals

Development Approach

We focused on creating a comprehensive system with multiple key objectives:

• Design a robust, portable hardware solution

• Develop sophisticated signal processing algorithms

• Create an engaging, gamified user experience

• Provide meaningful physiological feedback

User Interface Design

The device features two primary interfaces:

1. Patient Interface:

• Gamified experience encouraging users to reduce stress

• Visual progress tracking

• Real-time physiological feedback

2. Clinical Interface:

• Detailed signal analysis tools

• Customizable parameters

• Comprehensive data visualization

Challenges and Innovations

While encountering challenges like signal noise and peak detection accuracy, the project demonstrated significant potential for stress management technology. The team's approach of combining ECG analysis with gamification offers a novel method for autonomic nervous system monitoring.

Future Potential

Potential applications include:

• Personal stress management

• Mental health monitoring

• Clinical stress assessment tools

• Wearable health technology

Project completed through guidance from Dr. Helen Schwerdt and Gilgal Ansah.