A novel acquisition platform for long-term breathing frequency monitoring based on inertial measurement units

Med Biol Eng Comput. 2020 Apr;58(4):785-804. doi: 10.1007/s11517-020-02125-9. Epub 2020 Jan 30.

Abstract

Continuous monitoring of breathing frequency (fB) could foster early prediction of adverse clinical effects and exacerbation of medical conditions. Current solutions are invasive or obtrusive and thus not suitable for prolonged monitoring outside the clinical setting. Previous studies demonstrated the feasibility of deriving fB by measuring inclination changes due to breathing using accelerometers or inertial measurement units (IMU). Nevertheless, few studies faced the problem of motion artifacts that limit the use of IMU-based systems for continuous monitoring. Moreover, few attempts have been made to move towards real portability and wearability of such devices. This paper proposes a wearable IMU-based device that communicates via Bluetooth with a smartphone, uploading data on a web server to allow remote monitoring. Two IMU units are placed on thorax and abdomen to record breathing-related movements, while a third IMU unit records body/trunk motion and is used as reference. The performance of the proposed system was evaluated in terms of long-acquisition-platform reliability showing good performances in terms of duration and data loss amount. The device was preliminarily tested in terms of accuracy in breathing temporal parameter measurement, in static condition, during postural changes, and during slight indoor activities showing favorable comparison against the reference methods (mean error breathing frequency < 5%). Graphical abstract Proof of concept of a wearable, wireless, modular respiratory Holter based on inertial measurement units (IMUS) for the continuous breathing pattern monitoring through the detection of chest wall breathing-related movements.

Keywords: Mobile health units; Monitoring, physiologic; Optoelectronic plethysmography; Respiration; Wearable electronic devices.

MeSH terms

  • Adult
  • Algorithms
  • Computers
  • Equipment Design
  • Exercise
  • Female
  • Healthy Volunteers
  • Humans
  • Male
  • Mobile Applications
  • Monitoring, Physiologic / instrumentation*
  • Monitoring, Physiologic / methods*
  • Posture
  • Reproducibility of Results
  • Respiration*
  • Signal Processing, Computer-Assisted
  • Torso
  • Wearable Electronic Devices*