Non-Invasive Wearable Patch Utilizing Seismocardiography for Peri-Operative Use in Surgical Patients.

Area of Science:

• Biomedical Engineering
• Cardiovascular Monitoring
• Wearable Technology

Background:

• Optimizing peri-operative fluid management is crucial for patient outcomes.
• Stroke volume (SV) measurement guides fluid therapy, but current methods like Transesophageal Doppler (TED) are limited to intra-operative use.
• Continuous, non-invasive SV monitoring is lacking for both intra- and post-operative care.

Purpose of the Study:

• To propose and evaluate a wearable patch for continuous, non-invasive stroke volume (SV) prediction.
• To assess the feasibility of using seismocardiogram (SCG) and electrocardiogram (ECG) signals for SV monitoring.
• To provide an alternative to the Transesophageal Doppler (TED) for peri-operative fluid management.

Main Methods:

• A wearable patch capturing seismocardiogram (SCG) and electrocardiogram (ECG) signals was developed.
• Hemodynamic data, including SV, were recorded simultaneously using the wearable patch and Transesophageal Doppler (TED) in 12 patients.
• Signal processing and regression techniques were applied to derive SV from the wearable patch signals.

Main Results:

• The combination of SCG and ECG signals effectively predicted stroke volume (SV).
• A correlation of 0.81 was achieved between predicted and reference SV values.
• A median absolute error of 7.56 mL was observed, demonstrating accuracy.

Conclusions:

• The proposed wearable patch shows significant promise for continuous, non-invasive stroke volume monitoring.
• This technology can serve as a viable alternative to the Transesophageal Doppler (TED).
• It facilitates improved peri-operative fluid management through real-time patient data.