enrich_BP

This algorithm enriches RIP signals and accompanying breath onsets into breath-by-breath breathing pattern (depth, coordination, and more)

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Dual-band wearables (such as respiratory inductance plethysmography; RIP) can provide various information on breathing pattern beyond simply frequency and depth. This algorithm receives one or two RIP signals and pre-processed breath onsets (inspiration and expiration) and outputs a breath-by-breath timetable with new metrics: breathing frequency, depth, sighing events, and, in the case of dual-RIP, % ribcage contribution, and thoraco-abdominal coordination (phase angle). Accompanying scientific references are embedded.

Cite As

Eric (2026). enrich_BP (https://se.mathworks.com/matlabcentral/fileexchange/183728-enrich_bp), MATLAB Central File Exchange. Retrieved .

Harbour, Eric, et al. “Enhanced Breathing Pattern Detection during Running Using Wearable Sensors.” Sensors, vol. 21, no. 16, Aug. 2021, p. 5606, https://doi.org/10.3390/s21165606.

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General Information

MATLAB Release Compatibility

  • Compatible with any release

Platform Compatibility

  • Windows
  • macOS
  • Linux
Version Published Release Notes Action
1.0.0