ArticleSensors (Basel, Switzerland)2021
Indirect Estimation of Breathing Rate from Heart Rate Monitoring System during Running.
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
13 citing papers in PubMed.
- Respiratory Monitoring in Motion: An Overview of Wearable Methods and Algorithmic Approaches for Reliable Assessment.Biosensors · 2026Review
- Humming Breathing and Autonomic Regulation: A Preliminary Study of Resonance Frequency and Vibratory Mechanisms.Applied psychophysiology and biofeedback · 2026Article
- Can Pulse Rate Variability be Used to Monitor Compliance with a Breath Pacer?Applied psychophysiology and biofeedback · 2024Article
- A Wearable Multimodal Wireless Sensing System for Respiratory Monitoring and Analysis.Sensors (Basel, Switzerland) · 2023Article
- Respiratory Rate Estimation during Walking and Running Using Breathing Sounds Recorded with a Microphone.Biosensors · 2023Article
- Wearable and Portable Devices for Acquisition of Cardiac Signals while Practicing Sport: A Scoping Review.Sensors (Basel, Switzerland) · 2023Article
- Design and Testing of a Smart Facemask for Respiratory Monitoring during Cycling Exercise.Biosensors · 2023Article
- Editorial-Special Issue on "Sensor Technology for Enhancing Training and Performance in Sport".Sensors (Basel, Switzerland) · 2023Article
- Wearable Electrocardiography for Physical Activity Monitoring: Definition of Validation Protocol and Automatic Classification.Biosensors · 2023Article
- Remote Photoplethysmography Is an Accurate Method to Remotely Measure Respiratory Rate: A Hospital-Based Trial.Journal of clinical medicine · 2022Article
- Breathing Rate Estimation from Head-Worn Photoplethysmography Sensor Data Using Machine Learning.Sensors (Basel, Switzerland) · 2022Article
- Concurrent Evolution of Biomechanical and Physiological Parameters With Running-Induced Acute Fatigue.Frontiers in physiology · 2022Article
- Breath Tools: A Synthesis of Evidence-Based Breathing Strategies to Enhance Human Running.Frontiers in physiology · 2022Review
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Recent advances in wearable technologies integrating multi-modal sensors have enabled the in-field monitoring of several physiological metrics. In sport applications, wearable devices have been widely used to improve performance while minimizing the risk of injuries and illness. The objective of this project is to estimate breathing rate (BR) from respiratory sinus arrhythmia (RSA) using heart rate (HR) recorded with a chest belt during physical activities, yielding additional physiological insight without the need of an additional sensor. Thirty-one healthy adults performed a run at increasing speed until exhaustion on an instrumented treadmill. RR intervals were measured using the Polar H10 HR monitoring system attached to a chest belt. A metabolic measurement system was used as a reference to evaluate the accuracy of the BR estimation. The evaluation of the algorithms consisted of exploring two pre-processing methods (band-pass filters and relative RR intervals transformation) with different instantaneous frequency tracking algorithms (short-term Fourier transform, single frequency tracking, harmonic frequency tracking and peak detection). The two most accurate BR estimations were achieved by combining band-pass filters with short-term Fourier transform, and relative RR intervals transformation with harmonic frequency tracking, showing 5.5% and 7.6% errors, respectively. These two methods were found to provide reasonably accurate BR estimation over a wide range of breathing frequency. Future challenges consist in applying/validating our approaches during in-field endurance running in the context of fatigue assessment.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.