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Related Concept Videos

Assessment of Ventilation II: Respiratory Depth and Rhythm01:29

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Physical assessment of the respiratory tract through inspection is a crucial step in understanding the patient's respiratory health. It provides insights into the functioning of the respiratory system, the musculoskeletal structure, and even the patient's nutritional status. This comprehensive approach involves observing several vital aspects: chest configuration, breathing patterns, respiratory rates, skin color, and use of accessory muscles.
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Related Experiment Video

Updated: Oct 22, 2025

Author Spotlight: Exploring Breathing Techniques and Digital Solutions for Enhancing Running Performance
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Author Spotlight: Exploring Breathing Techniques and Digital Solutions for Enhancing Running Performance

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Enhanced Breathing Pattern Detection during Running Using Wearable Sensors.

Eric Harbour1, Michael Lasshofer1, Matteo Genitrini1

  • 1Department of Sport and Exercise Science, University of Salzburg, Schlossallee 49, 5400 Hallein-Rif, Austria.

Sensors (Basel, Switzerland)
|August 28, 2021
PubMed
Summary

This study validates a wearable garment using respiratory inductance plethysmography (RIP) sensors for analyzing breathing patterns (BP) during running. The system accurately detects flow reversals and breathing rate, proving useful for field-based exercise assessment.

Keywords:
breathing patternbreathing ratebreathing sensorsrespiration sensorsrespiratory frequencyrespiratory inductance plethysmographyrunning sensorsventilation

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Area of Science:

  • Exercise Physiology
  • Biomedical Engineering
  • Wearable Technology

Background:

  • Breathing pattern (BP) significantly influences psychophysiological responses and performance during exercise.
  • Wearable sensors offer potential for real-time BP analysis during activities like running.
  • Validation of wearable respiratory monitoring systems against gold standards is essential but often lacking.

Purpose of the Study:

  • To determine the concurrent validity of a wearable garment with respiratory inductance plethysmography (RIP) sensors and a custom algorithm.
  • To compare the system's ability to detect flow reversals (FR) and BP against a reference spirometry system.
  • To assess the practical utility of the wearable system for field-based exercise monitoring.

Main Methods:

  • Twelve runners performed an incremental running protocol to exhaustion.
  • Synchronized data acquisition using a wearable RIP garment and a reference spirometry system.
  • Development of a custom algorithm for filtering, segmenting, and analyzing RIP data to estimate FR and BP.

Main Results:

  • The algorithm achieved over 99% accuracy in identifying flow reversals (FR) with a minimal time lag of 0.018 s compared to spirometry.
  • Breathing rate (BR) estimation demonstrated a low mean absolute percent error (MAPE) of 2.74%.
  • Accuracy for other BP components showed variability, indicating areas for future improvement.

Conclusions:

  • The validated wearable RIP system demonstrates practical utility for assessing breathing patterns in field settings, particularly for detecting abrupt changes in breathing rate.
  • Further research is recommended to enhance the accuracy of BP timing estimation and incorporate abdominal RIP sensor data during running.
  • The system shows promise for real-time exercise monitoring and performance analysis.