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The Evaluation of Remote Monitoring Technology Across Participants With Different Skin Tones
Debjyoti Talukdar1, Luis Felipe De Deus2, Nikhil Sehgal2
1Department of Medical Research, Mkhitar Gosh Armenian-Russian International University, Yerevan, ARM.
This study validates a new remote monitoring method for vital signs, showing accurate heart rate and heart rate variability measurements across all skin tones. The technology ensures reliable patient health tracking regardless of demographic group.
Area of Science:
- Biomedical Engineering
- Health Informatics
- Remote Patient Monitoring
Background:
- Vital sign monitoring is crucial for patient care, with non-invasive, contactless methods offering advanced solutions.
- Concerns exist regarding bias and accuracy in current remote monitoring technologies, particularly for individuals with darker skin tones.
- Limited research has addressed the performance disparities across different skin tones in vital sign monitoring.
Purpose of the Study:
- To establish a benchmark for remote vital sign monitoring solutions compared to medical devices.
- To evaluate the accuracy of remote monitoring for heart rate (HR) and heart rate variability (HRV) across various skin tones.
- To address concerns about potential demographic bias in contactless health monitoring.
Main Methods:
- Analyzed approximately 330 videos from 90 patients to compare remote monitoring with a medical device.
- Classified participants into three skin tone groups using the Fitzpatrick scale (1-2, 3-4, 5-6).
- Measured heart rate (HR) and heart rate variability (HRV) metrics, including inter-beat interval (IBI), standard deviation of normal to normal heartbeats (SDNN), and root mean square of successive differences (RMSSD).
Main Results:
- The proposed remote monitoring methodology achieved a mean absolute error of 3 bpm for heart rate estimation across all subgroups.
- Accurate heart rate variability (HRV) measurements were obtained: HRV-IBI (10 ms), HRV-SDNN (14 ms), and HRV-RMSSD (22 ms).
- No significant performance decrease or error trend was observed across different skin tone groups, indicating consistent accuracy.
Conclusions:
- The developed remote monitoring methodology demonstrates acceptable agreement levels for vital sign metrics.
- Skin tone was found to have no impact on the accuracy of the monitoring results, ensuring equitable performance.
- The technology empowers users to monitor their general well-being and improve overall health outcomes.
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