Practical Optimization of Deep Learning Models for Cuffless Blood Pressure Estimation From Photoplethysmography

Vikas Khurana1, Mohammad Aejaz Pamidi2, Bharat Bhushan Joshi Bhushan Joshi2

  • 1The Wright Center for Graduate Medical Education, 501 S Washington Avenue, Scranton, Pennsylvania, 18505, United States.

Summary

Optimizing deep learning for cuffless blood pressure (BP) estimation using photoplethysmography (PPG) requires careful selection of sampling frequency and derivation methods. This study found 62.5 Hz and multi-peak averaging yielded best results, informing device design.

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