Scientific Research & Validation Library

Explore the scientific foundation behind IntelliProve's technology. This library brings together years of validation work, peer-reviewed publications, clinical studies and scientific research that have shaped and supported our health assessment technology.

Tensor term decomposition for remote photoplethysmography

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Remote photoplethysmography for health assessment: a review informed by IntelliProve technology

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Validation Report: accuracy and precision

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Deep pulse-signal magnification for remote heart rate estimation in compressed videos

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PulseFormer: Continuous Remote Heart Rate Measurement Through Zoomed Time-Spectral Attention

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BeatFormer: Efficient motion-robust remote heart rate estimation through unsupervised spectral zoomed attention filters

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Deep adaptative spectral zoom for improved remote heart rate estimation

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Efficient Remote Photoplethysmography with Temporal Derivative Modules and Time-Shift Invariant Loss

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Short-term Impact of Polarity Therapy on Physiological Signals in Chronic Anxiety Patients

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End-to-end facial and physiological model for Affective Computing and applications

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Remote Photoplethysmography (rPPG): A State-of-the-Art Review

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rPPG in the wild: Remote heart rate imaging via online webcams

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A Comprehensive Review of rPPG Methods for Heart Rate Estimation

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Review on remote HR measurements using photoplethysmography

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General ROI Selection Approach in rPPG for Accurate Heart Rate Estimation

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Protective role of resting HR on all-cause and cardiovascular disease mortality

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A non-contact blood pressure measurement method based on face video

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Robust blood pressure measurement from facial videos in diverse environments

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Camera-based rPPG for blood pressure measurement

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Remote Detection of Photoplethysmographic Systolic and Diastolic Peaks Using a Digital Camera

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Remote Photoplethysmography Is an Accurate Method to Remotely Measure Respiratory Rate: A Hospital-Based Trial

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Breathing Rate Complexity Features for “In-the-Wild” Stress and Anxiety Measurement

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Analysis of Vital Signs using Remote-PPG

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Non-Contact Respiratory Monitoring

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