Combined Cardiac and Respiratory Monitoring from a Single Signal: A Case Study Employing the Fantasia Database

Area of Science:

• Biomedical Engineering
• Cardiology
• Respiratory Medicine

Background:

• Cardiovascular diseases are often linked to respiratory dysfunctions, particularly during sleep.
• Accurate monitoring of both cardiac and respiratory signals is crucial for diagnosis and management.
• Current methods may require multiple devices or lack efficiency for simultaneous data acquisition.

Purpose of the Study:

• To develop a novel method for electrocardiogram (ECG) derived respiration (EDR).
• To create a respiration-derived cardiogram (RDC) from a respiratory stretch sensor.
• To evaluate the feasibility of using single, no-contact wearable devices for simultaneous cardiology and respiratory monitoring.

Main Methods:

• Obtaining EDR from a single lead ECG.
• Deriving RDC from a respiratory stretch sensor.
• Reconstructing respiration waveforms, determining respiration rate from ECG QRS complexes, locating heartbeats, and calculating heart rate (HR) from respiration signals.
• Evaluating accuracy by comparing located QRS complexes and inspiration maxima to reference positions.

Main Results:

• Demonstrated a novel method for EDR from single-lead ECG.
• Developed RDC from respiratory stretch sensor data.
• Successfully located heartbeats and calculated heart rate using respiration signals.
• Established a basis for evaluating the accuracy of these novel methods.

Conclusions:

• The proposed methods offer a new approach for simultaneous cardiology and respiratory data acquisition.
• This research contributes to developing more accurate and efficient methods for heartbeat identification in respiratory signals.
• Findings support the potential use of simple, no-contact wearable devices for enhanced diagnosis and management of cardiovascular and respiratory diseases, especially during sleep.