ArticleSensors (Basel, Switzerland)2022
Estimation of Respiratory Frequency in Women and Men by Kubios HRV Software Using the Polar H10 or Movesense Medical ECG Sensor during an Exercise Ramp.
Article in Sensors (Basel, Switzerland), 2022. 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.
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Who cites it
13 citing papers in PubMed, 35 citations in OpenAlex.
- Temporal dissociation between heart rate recovery and heart rate variability recovery after submaximal exercise in healthy older adults.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2026Article
- Associations between Internal Load, Respiratory Metabolism, and Neuromuscular Activation during 1v1 Small-Sided Soccer Games.Journal of sports science & medicine · 2025Article
- Validation of nocturnal resting heart rate and heart rate variability in consumer wearables.Physiological reports · 2025Article
- Fractal correlation properties of heart rate variability and respiratory frequency as measures of endurance exercise durability.European journal of applied physiology · 2025Article
- Effects of 12 Weeks of Interval Block Resistance Training Versus Circuit Resistance Training on Body Composition, Performance, and Autonomic Recovery in Adults: Randomized Controlled Trial.Journal of functional morphology and kinesiology · 2025Article
- Correlation properties and respiratory frequency of ECG-derived heart rate variability during multiple race-pace running intervals in female and male long-distance runners.Physiological reports · 2025Article
- Autonomic and physiological stress responses in navy divers: the protective role of diving experience.Frontiers in physiology · 2025Article
- Gait and heart rate: do they measure trait or state physical fatigue in people with multiple sclerosis?Journal of neurology · 2024Observational
- Home-Based Dynamics of Sleepiness-Related Conditions Starting at Biological Evening and Later (Beyond Working).International journal of environmental research and public health · 2023Article
- 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
- Design and Testing of a Smart Facemask for Respiratory Monitoring during Cycling Exercise.Biosensors · 2023Article
- Improved Estimation of Exercise Intensity Thresholds by Combining Dual Non-Invasive Biomarker Concepts: Correlation Properties of Heart Rate Variability and Respiratory Frequency.Sensors (Basel, Switzerland) · 2023Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Monitoring of the physiologic metric, respiratory frequency (RF), has been shown to be of value in health, disease, and exercise science. Both heart rate (HR) and variability (HRV), as represented by variation in RR interval timing, as well as analysis of ECG waveform variability, have shown potential in its measurement. Validation of RF accuracy using newer consumer hardware and software applications have been sparse. The intent of this report is to assess the precision of the RF derived using Kubios HRV Premium software version 3.5 with the Movesense Medical sensor single-channel ECG (MS ECG) and the Polar H10 (H10) HR monitor. Gas exchange data (GE), RR intervals (H10), and continuous ECG (MS ECG) were recorded from 21 participants performing an incremental cycling ramp to failure. Results showed high correlations between the reference GE and both the H10 (r = 0.85, SEE = 4.2) and MS ECG (r = 0.95, SEE = 2.6). Although median values were statistically different via Wilcoxon testing, adjusted median differences were clinically small for the H10 (RF about 1 breaths/min) and trivial for the MS ECG (RF about 0.1 breaths/min). ECG based measurement with the MS ECG showed reduced bias, limits of agreement (maximal bias, -2.0 breaths/min, maximal LoA, 6.1 to -10.0 breaths/min) compared to the H10 (maximal bias, -3.9 breaths/min, maximal LoA, 8.2 to -16.0 breaths/min). In conclusion, RF derived from the combination of the MS ECG sensor with Kubios HRV Premium software, tracked closely to the reference device through an exercise ramp, illustrates the potential for this system to be of practical usage during endurance exercise.
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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.