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Factors that affect Camera based Self-Monitoring of Vitals in the Wild

Nikhil S. Narayan, Shashanka B. R., Rohit Damodaran, Chandrashekhar Jayaram, M. A. Kareem, Mamta P., Saravanan K. R., Monu Krishnan, Raja Indana

TL;DR

It is proved that the use of camera based smart phone solutions is similar to the use of medical devices or wearables for self-monitoring in the wild for self-monitoring of vitals in the wild by quantifying positional and hardware variability.

Abstract

The reliability of the results of self monitoring of the vitals in the wild using medical devices or wearables or camera based smart phone solutions is subject to variabilities such as position of placement, hardware of the device and environmental factors. In this first of its kind study, we demonstrate that this variability in self monitoring of Blood Pressure (BP), Blood oxygen saturation level (SpO2) and Heart rate (HR) is statistically significant (p<0.05) on 203 healthy subjects by quantifying positional and hardware variability. We also establish the existence of this variability in camera based solutions for self-monitoring of vitals in smart phones and thus prove that the use of camera based smart phone solutions is similar to the use of medical devices or wearables for self-monitoring in the wild.

Factors that affect Camera based Self-Monitoring of Vitals in the Wild

TL;DR

It is proved that the use of camera based smart phone solutions is similar to the use of medical devices or wearables for self-monitoring in the wild for self-monitoring of vitals in the wild by quantifying positional and hardware variability.

Abstract

The reliability of the results of self monitoring of the vitals in the wild using medical devices or wearables or camera based smart phone solutions is subject to variabilities such as position of placement, hardware of the device and environmental factors. In this first of its kind study, we demonstrate that this variability in self monitoring of Blood Pressure (BP), Blood oxygen saturation level (SpO2) and Heart rate (HR) is statistically significant (p<0.05) on 203 healthy subjects by quantifying positional and hardware variability. We also establish the existence of this variability in camera based solutions for self-monitoring of vitals in smart phones and thus prove that the use of camera based smart phone solutions is similar to the use of medical devices or wearables for self-monitoring in the wild.
Paper Structure (16 sections, 9 figures, 6 tables)

This paper contains 16 sections, 9 figures, 6 tables.

Table of Contents

  1. Introduction
  2. Prior art
  3. Motivation
  4. Contributions
  5. Materials and Method
  6. Data
  7. Methodology
  8. Experimental results
  9. Self monitoring of vitals using medical devices
  10. BP
  11. SpO2 and HR
  12. Self monitoring of vitals using mobile devices
  13. Self monitoring of vitals using wearable
  14. Overall Comparison
  15. Discussion, Conclusion and Future work
  16. ...and 1 more sections

Figures (9)

  • Figure 1: Study setup
  • Figure 2: Quantifying the (a,c) transverse variability; and (b,d) angular variability in the placement of the sensor of the BP cuff for self-monitoring
  • Figure 3: Variations in measuring SpO2 and HR by placing a pulseoximeter on the index finger of the hand (a) resting on the table; (b) resting on the table with index figer at maximum angle; and (c) in the air.
  • Figure 4: Commercially available vitals monitoring solutions that use (a) face videos (selfie); and (b) Finger tip videos to measure vitals such as BP, SpO2 and HR.
  • Figure 5: Vitals monitoring using mobile phones and wearables in the 2nd station
  • ...and 4 more figures