RapidHRV

RapidHRV processes and analyzes heart rate (HR) and heart rate variability (HRV) data to extract robust HR/HRV metrics from electrocardiography (ECG), pulse oximetry, and photoplethysmography (PPG) recordings including finger and wrist (smartwatch) PPG.

Key Features:

• Comprehensive preprocessing: Automated detection and removal of artifacts in ECG, pulse oximetry, and photoplethysmography (PPG) signals, including wrist (smartwatch) PPG.
• Automated analysis: Computation of HR and HRV metrics from preprocessed signals.
• Visualization: Generation of visual representations of heart rate and HRV patterns for interpretation.
• Noise-resilient performance: Validated in simulations to recover accurate HR at signal-to-noise ratios ≥10 dB and to maintain moderate-to-excellent HRV recovery at SNR ≥20 dB and sampling rates ≥20 Hz.

Scientific Applications:

• Psychophysiology: Analysis of HR and HRV to study relationships between physiological responses and psychological states or environmental contexts.
• Multi-source physiological research: Processing of ECG, finger PPG, and wrist PPG recordings for clinical research and consumer-health studies.
• Real-world and noisy-data validation: Application to noisy and lower-sampling-rate data with demonstrated performance in simulations and real-world ECG and finger PPG datasets, noting sensitivity to motion artifacts in wrist PPG.

Methodology:

Artifact detection and removal and other advanced signal-processing techniques; simulation-based validation showing HR recovery at ≥10 dB SNR and HRV recovery at ≥20 dB SNR and ≥20 Hz sampling rate; validation on real-world ECG and finger PPG datasets with noted sensitivity to motion artifacts in wrist PPG.