A breathing companion robot reduced perceived stress more than audio guidance alone in 14 Ukrainian refugees, with mixed physiological outcomes and three identified breathing patterns.
An overview of heart rate variability metrics and norms.Frontiers in Public Health, 5:258
4 Pith papers cite this work. Polarity classification is still indexing.
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A Transformer model predicts personalized post-intervention trajectories and direction of change for heart rate and variability from wearable sensor data, showing feasibility as a proof of concept.
rPPG algorithms with Lp-norm and fractional-order peak enhancement achieve 1.92 bpm MAE for pulse rate and good HRV metrics vs ECG in 29 drivers, recommending 2SR for rate and CHROM for variability with 20 superpixels.
Empirical analysis of standard HRV indices on 40 healthy adults aged 30-50 identifies normally distributed stable measures and recommends a minimal non-redundant set covering global, LF, and HF components.
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Personalized and Context-Aware Transformer Models for Predicting Post-Intervention Physiological Responses from Wearable Sensor Data
A Transformer model predicts personalized post-intervention trajectories and direction of change for heart rate and variability from wearable sensor data, showing feasibility as a proof of concept.
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Computational Analysis of Heart Rate Variability in Healthy Adults
Empirical analysis of standard HRV indices on 40 healthy adults aged 30-50 identifies normally distributed stable measures and recommends a minimal non-redundant set covering global, LF, and HF components.