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Accepted for/Published in: JMIR mHealth and uHealth

Date Submitted: Feb 6, 2024
Date Accepted: Aug 26, 2024

The final, peer-reviewed published version of this preprint can be found here:

Raw Photoplethysmography as an Enhancement for Research-Grade Wearable Activity Monitors

Hibbing PR, Khan MM

Raw Photoplethysmography as an Enhancement for Research-Grade Wearable Activity Monitors

JMIR Mhealth Uhealth 2024;12:e57158

DOI: 10.2196/57158

PMID: 39331461

PMCID: 11470225

Raw photoplethysmography as an enhancement for research-grade wearable activity monitors

  • Paul R. Hibbing; 
  • Maryam Misal Khan

ABSTRACT

Wearable monitors continue to play a critical role in scientific assessments of physical activity. Recently, research-grade monitors have begun providing raw data from photoplethysmography (PPG) alongside standard raw data from inertial sensors (accelerometers and gyroscopes). Raw PPG enables granular and transparent estimation of cardiovascular parameters such as heart rate, thus presenting a valuable alternative to standard PPG methodologies (most of which rely on consumer-grade monitors that provide only coarse output from proprietary algorithms). The implications for physical activity assessment are tremendous, since it is now feasible to monitor granular and concurrent trends in both movement and cardiovascular physiology using a single noninvasive device. However, new users must also be aware of challenges and limitations that accompany the use of raw PPG data. The current Viewpoint therefore orients new users to the opportunities and challenges of raw PPG data by presenting its mechanics, pitfalls, and availability, as well as its parallels and synergies with inertial sensors. This includes discussion of specific applications to the prediction of energy expenditure, activity type, and 24-hour movement behaviors, with an emphasis on areas in which raw PPG data may help to resolve known issues with inertial sensing (e.g., measurement during cycling activities). We also discuss how the impact of raw PPG data can be maximized through the use of open-source tools when developing and disseminating new methods, similar to current standards for raw accelerometer and gyroscope data. Collectively, our comments show the strong potential of raw PPG data to enhance the use of research-grade wearable activity monitors in science over the coming years.


 Citation

Please cite as:

Hibbing PR, Khan MM

Raw Photoplethysmography as an Enhancement for Research-Grade Wearable Activity Monitors

JMIR Mhealth Uhealth 2024;12:e57158

DOI: 10.2196/57158

PMID: 39331461

PMCID: 11470225

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