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Smartphone-based Health Monitoring In India: Data Collection And Evaluation For Pulse Rate Estimation.

Home
Smartphone-based Health Monitoring In India: Data Collection And Evaluation For Pulse Rate Estimation.

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Smartphone-based health monitoring in India: Data collection and evaluation for pulse rate estimation.

Achal Shetty¹, Sanjana S Narasimhamurthy², K S Nataraj³

¹Department of Community Medicine, Father Muller Medical College, Mangalore, Karnataka, India.

Journal of Family Medicine and Primary Care

|February 24, 2025

View abstract on PubMed

Summary

This summary is machine-generated.

Smartphone cameras can accurately estimate pulse rates using photoplethysmogram (PPG) signals, offering a feasible solution for remote health monitoring, especially in diverse Indian populations.

Keywords:

Machine learning oximeter photoplethysmogram pulse rate smartphone

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Area of Science:

Biomedical Engineering
Digital Health
Cardiovascular Monitoring

Background:

Remote vital sign monitoring is increasingly important, accelerated by the COVID-19 pandemic.
Smartphones and wearables offer accessible, cost-effective health monitoring solutions.
Developing accurate vital estimation algorithms requires large, diverse datasets, which are scarce, particularly for the Indian context.

Purpose of the Study:

To develop a diverse dataset for vital sign estimation in India.
To evaluate the accuracy of smartphone-based pulse rate estimation using this dataset.

Main Methods:

Collected data from Indian patients with diverse demographics and health conditions.
Developed an algorithm to estimate photoplethysmogram (PPG) signals from smartphone video recordings.

Calculated pulse rate from PPG data and compared it with pulse oximeter readings.

Main Results:

Smartphone-based PPG algorithm achieved reasonably accurate pulse rate estimations (MAE < 5, ICC > 0.90) compared to pulse oximeters.
Accuracy remained consistent across varied subjects and healthcare settings.

Conclusions:

Smartphone-based PPG signals contain sufficient information for reliable pulse rate estimation.
Tailored dataset collection is crucial for developing and validating vital estimation algorithms for diverse populations.