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Real Time Estimation of Heart Rate under Lighting of Smartphone Camera

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This approach reveals promising accuracy in heart rate monitoring with smartphones, suggesting a future for mobile health applications.

The smartphone-based heart rate system achieves accuracy comparable to traditional medical devices, enhancing monitoring capabilities.
Experimental validation showed that the system maintains performance in varying lighting and motion conditions, supporting reliable health assessments.
Integrating machine learning algorithms with signal processing ensures effective extraction of the photoplethysmogram signal from smartphone camera data.
This advancement underscores the potential for mobile health solutions to provide scalable and accessible healthcare management.

Mrs. Subhashree D C (2025) studied this question.

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