A Magnetic Field-Based Wearable Respiration Sensor for Real-Time Monitoring During Pulmonary Rehabilitation

IEEE Trans Biomed Eng. 2024 Jul;71(7):2243-2252. doi: 10.1109/TBME.2024.3367536. Epub 2024 Jun 19.

Abstract

Objective: This work explores Hall effect sensing paired with a permanent magnet, in the context of pulmonary rehabilitation exercise training.

Methods: Experimental evaluation was performed considering as reference the gold-standard of respiratory monitoring, an airflow transducer, and performance was compared to another wearable device with analogous usability - a piezoelectric sensor. A total of 16 healthy participants performed 15 activities, representative of pulmonary rehabilitation exercises, simultaneously using all devices. Evaluation was performed based on detection of flow reversal events and key respiratory parameters.

Results: Overall, the proposed sensor outperformed the piezoelectric sensor with a mean ratio, precision, and recall of 0.97, 0.97, and 0.95, respectively, against 0.98, 0.90, and 0.88. Evaluation regarding the respiratory parameters indicates an adequate accuracy when it comes to breath cycle, inspiration, and expiration times, with mean relative errors around 4% for breath cycle and 8% for inspiration/expiration times, despite some variability. Bland-Altman analysis indicates no systematic biases.

Conclusion: Characterization of the proposed sensor shows adequate monitoring capabilities for exercises that do not rely heavily on torso mobility, but may present a limitation when it comes to activities such as side stretches.

Significance: This work provides a comprehensive characterization of a magnetic field-based respiration sensor, including a discussion on its robustness to different algorithm thresholds. It proves the viability of the sensor in a range of exercises, expanding the applicability of Hall effect sensors as a feasible wearable approach to real-time respiratory monitoring.

MeSH terms

  • Adult
  • Equipment Design
  • Female
  • Humans
  • Magnetic Fields
  • Male
  • Monitoring, Physiologic / instrumentation
  • Monitoring, Physiologic / methods
  • Signal Processing, Computer-Assisted / instrumentation
  • Wearable Electronic Devices*
  • Young Adult