First Insights into Sensor-Based Ballistocardiographic Measurements in Patients with Heart Failure.

Area of Science:

• Biomedical Engineering
• Cardiovascular Research
• Wearable Sensor Technology

Background:

• Heart failure (HF) poses significant morbidity, mortality, and economic burdens.
• Non-invasive monitoring methods are crucial for managing chronic HF.
• Ballistocardiography (BCG) and seismocardiography (SCG) offer potential for HF assessment.

Purpose of the Study:

• To develop and evaluate an accelerometer-based sensor system for capturing BCG and SCG signals.
• To assess the feasibility of using these signals for monitoring chronic heart failure patients.
• To explore the potential of BCG and SCG for early HF detection and management.

Main Methods:

• Developed a novel accelerometer-based sensor system for BCG and SCG signal acquisition.
• Conducted a feasibility study with ten chronic heart failure patients.
• Recorded triaxial accelerometer and reference ECG data during rest, six-minute walk tests, and recovery, followed by signal preprocessing (calibration, band-pass filtering).

Main Results:

• The developed sensor system successfully recorded interpretable BCG and SCG signals.
• Recognizable patterns within the SCG and BCG signals were observed in chronic heart failure patients.
• Feasibility of using accelerometer-based BCG and SCG for HF monitoring was demonstrated.

Conclusions:

• Accelerometer-based BCG and SCG signal acquisition is feasible in chronic heart failure patients.
• The study provides a foundation for developing non-invasive HF monitoring tools.
• Future research will focus on algorithm applicability and signal variations based on patient factors and activity.