Feasibility Study of a Giant Magneto-Resistance Based Respiration Rate Monitor

Area of Science:

• Biomedical Engineering
• Sensor Technology
• Physiological Monitoring

Background:

• Accurate estimation of vital signs like respiration rate (RR) is crucial for patient monitoring.
• Existing methods for RR estimation can be complex or invasive.
• There is a need for simple, reliable, and non-invasive electronic techniques for vital sign monitoring.

Purpose of the Study:

• To develop and validate a simple and reliable electronic technique for estimating respiration rate (RR) using Giant Magneto-Resistance (GMR) sensors.
• To assess the system's accuracy and feasibility in estimating RR and its potential for heart rate (HR) monitoring.
• To explore the application of the developed system in clinical settings, automotive environments, and wearable devices.

Main Methods:

• Utilized Giant Magneto-Resistance (GMR) based sensors to capture plethysmograph signals from subjects.
• Implemented signal filtering and processing techniques to extract RR information from the GMR sensor data.
• Conducted experiments on a prototype system with 20 volunteers to evaluate its performance.
• Assessed the system's capability in detecting breathing cessations and its potential as a heart rate (HR) monitor.

Main Results:

• The developed system successfully acquired clean plethysmographic signals.
• Features extracted from the signals demonstrated a clear relationship with respiration rate (RR).
• The system achieved a worst-case error of only 2 breaths per minute for RR estimation.
• Preliminary results indicated the system's accuracy as a heart rate (HR) estimator.

Conclusions:

• The proposed electronic technique provides a simple and reliable method for estimating respiration rate (RR).
• The system exhibits high accuracy and minimal error in RR estimation, with potential for HR monitoring.
• The GMR sensor-based approach is versatile and applicable to various monitoring scenarios, including clinics and wearable devices.