Healthcare
AI-based Analysis of Vital Cardiovascular Metrics
Analyzing clinical data and predicting outcomes for the clinical study
Challenge
To develop a system for automatic analysis of ECG, PCG, and PPG sensor data. To handle noisy data, missing peaks, and fiducial points, required proper data preprocessing
Implementation Details
A comprehensive application that seamlessly integrates with the client’s noisy hardware (wearable sensors) and delivers accurate cardiovascular metrics such as PEP, LVET, IVCT. The application outperformed the legacy POC solution by a significant margin, achieving an accuracy and sensitivity of over 70%.
Alex Gurbych
Chief Solutions Architect
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