Key result
A noncontact technique using a single camera and Independent Component Analysis achieved more than 80% similarity in heart rate and HRV measurement compared to a photoplethysmography sensor.
Effect estimate: >80% similarity
A noncontact camera-based technique using Independent Component Analysis can measure heart rate and HRV with >80% similarity to standard PPG sensors.
Single-camera ICA technique feasible for HR/HRV; leaves open prospective clinical validation.
The heart rate and its variability, known as Heart Rate Variability (HRV), are indispensable measurements for cardiorespiratory monitoring, recognition and quantification of emotions, detection of abnormalities, and heart disease control. In general, the acquisition systems for heart rate and HRV require a contact area for sensor's installation and positioning, creating restrictions and/or obstructions on user's movements. This paper proposes a noninvasive and noncontact technique for heart rate and HRV acquisition using a single camera. This method consists in the automatic detection of the user's face and utilization of an Independent Component Analysis (ICA) algorithm to separate the necessary signals to determine the heart rate and the HRV. The experiments have shown more than 80% of similarity between the results of the proposed heuristic in comparison to the results of the photoplethysmography sensor (PPG).
No takes yet. Share an insight, caveat, or question.
Hao et al. (2016) studied this question. Noncontact technique using a single camera and Independent Component Analysis (ICA) vs. Photoplethysmography sensor (PPG) was evaluated on Similarity of heart rate and HRV measurements (>80% similarity). A noncontact technique using a single camera and Independent Component Analysis achieved more than 80% similarity in heart rate and HRV measurement compared to a photoplethysmography sensor.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: