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Related Experiment Video

Updated: May 26, 2025

An Application for Pairing with Wearable Devices to Monitor Personal Health Status
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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
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 learningoximeterphotoplethysmogrampulse ratesmartphone

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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.