Estimating Thoracic Movement with High-Sampling Rate THz Technology

Area of Science:

• Biomedical Engineering
• Physics
• Respiratory Physiology

Background:

• Estimating respiration rate is crucial for monitoring patient health.
• Electrocardiogram (ECG) derived respiration is a common method but has limitations.
• Non-contact, accurate respiration monitoring is needed.

Purpose of the Study:

• To evaluate a terahertz (THz) homodyne spectroscopy system for estimating thoracic movement.
• To compare THz-based respiration estimation with ECG-derived respiration.

Main Methods:

• A high-sampling rate THz homodyne spectroscopy system was used.
• Healthy subjects performed breathing at various frequencies.
• Thoracic movement was estimated from THz phase information.
• ECG signals were recorded for comparison.

Main Results:

• The THz system provided usable motion and respiration signals.
• ECG-derived respiration showed sub-optimal performance for some subjects.
• THz-based respiration estimation achieved a root mean square error of 1.40 BPM.
• Good agreement was observed between THz measurements and the protocol.

Conclusions:

• Terahertz spectroscopy is a viable, accurate method for non-contact respiration monitoring.
• This THz system surpasses ECG in reliability for respiration assessment.
• THz technology offers a promising tool for respiratory monitoring applications.