Papers/2610.28693
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Interaction-Gated Time-Frequency Learning for Parameter-Efficient PPG-Based Heart Rate Estimation

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multimodalparameter-efficientheart rate estimation
2610.28693
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Abstract

This paper presents a novel framework for heart rate estimation using PPG that effectively integrates temporal and frequency-domain information.

Reality Card

Core Claim

The TF-IG framework achieves a mean absolute error of 1.227 BPM with only 84.6K parameters, demonstrating an effective accuracy-complexity trade-off.

Method / Result

Achieved a Pearson correlation coefficient of 0.9934.

Limitations

The study's results are based on a specific dataset and training protocol, which may limit generalizability.

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