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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.
General Information
- Version 1.0.0 (16.2 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0 |
