A new algorithm to reduce T-wave over-sensing based on phase space reconstruction in S-ICD system

Area of Science:

• Biomedical Engineering
• Signal Processing
• Cardiology

Background:

• Subcutaneous implantable cardioverter defibrillators (S-ICDs) prevent sudden arrhythmic death but risk inappropriate shocks.
• T wave oversensing (TWOS) is a primary cause of S-ICD inappropriate shocks, leading to adverse patient outcomes.
• Accurate R-peak detection is crucial for S-ICD system reliability.

Purpose of the Study:

• To introduce a novel algorithm for reducing T wave oversensing (TWOS).
• To enhance the accuracy of R-peak detection in S-ICD systems.
• To mitigate inappropriate shock therapies in S-ICD recipients.

Main Methods:

• Development of a new algorithm utilizing phase space reconstruction (PSR).
• PSR is a technique for analyzing non-linear and chaotic signal characteristics.
• Algorithm evaluated on University Hospital Southampton (UHS) and MIT-BIH arrhythmia databases.

Main Results:

• High accuracy in R-wave detection (UHS: 99.88%, MIT-BIH: 99.91%).
• Significant reduction in TWOS episodes (from 166 to 0 in UHS data).
• Low computational complexity with an average processing time of 2.9 seconds per minute of ECG data.

Conclusions:

• The algorithm effectively detects R-waves and reduces TWOS with minimal computational cost.
• Potential to significantly decrease inappropriate S-ICD shocks, reducing patient morbidity and mortality.
• Improved S-ICD performance can enhance the quality of life for recipients.