The Movesense Medical Sensor Chest Belt Device as Single Channel ECG for RR Interval Detection and HRV Analysis during Resting State and Incremental Exercise: A Cross-Sectional Validation Study
Open accessAbstract
The value of heart rate variability (HRV) in the fields of health, disease, and exercise science has been established through numerous investigations. The typical mobile-based HRV device simply records interbeat intervals, without differentiation between noise or arrythmia as can be done with an electrocardiogram (ECG). The intent of this report is to validate a new single channel ECG device, the Movesense Medical sensor, against a conventional 12 channel ECG. A heterogeneous group of 21 participants performed an incremental cycling ramp to failure with measurements of HRV, before (PRE), during (EX), and after (POST). Results showed excellent correlations between devices for linear indexes with Pearson’s r between 0.98 to 1.0 for meanRR, SDNN, RMSSD, and 0.95 to 0.97 for the non-linear index DFA a1 during PRE, EX, and POST. There was no significant difference in device specific meanRR during PRE and POST. Bland–Altman analysis showed high agreement between devices (PRE and POST: meanRR bias of 0.0 and 0.4 ms, LOA of 1.9 to −1.8 ms and 2.3 to −1.5; EX: meanRR bias of 11.2 to 6.0 ms; LOA of 29.8 to −7.4 ms during low intensity exercise and 8.5 to 3.5 ms during high intensity exercise). The Movesense Medical device can be used in lieu of a reference ECG for the calculation of HRV with the potential to differentiate noise from atrial fibrillation and represents a significant advance in both a HR and HRV recording device in a chest belt form factor for lab-based or remote field-application.
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It is impossible to differentiate whether abundant artifacts originate from noise or due to cardiac arrhythmia.
“In this context, it is also impossible to differentiate whether abundant artifacts originate from noise or due to cardiac arrhythmia [30].”
From Validity of the Polar H10 Sensor for Heart Rate Variability Analysis during Resting State and Incremental Exercise in Recreational Men and Women (2022) · cites this paper as [30]
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References 74 · Cited by 41
- Authors
- Rogers, B., Schaffarczyk, M., Clauß, M., Mourot, L., & Gronwald, T.
- Affiliations
- University of Central Florida (US)
- Universität Hamburg (DE)
- Leipzig University (DE)
- Tomsk Polytechnic University (RU)
- MSH Medical School Hamburg – University of Applied Sciences and Medical University (DE)
- Corresponding author
- Rogers, Bruce
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2022-03-05
- Volume
- 22
- Issue
- 5
- Pages
- 2032
- ISSN
- 1424-8220 (ISSN-L)
- PMC
- PMC8914935
- OpenAlex
- W4220659958
- Cited by
- 41
- References
- 74
- Citations by year
- 2026: 5 · 2025: 12 · 2024: 9 · 2023: 10 · 2022: 5
- FWCI
- 6.26
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Sensors (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Qucosa (Saxon State and University Library Dresden) (submittedVersion, cc-by)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › ECG Monitoring and Analysis
- Keywords
- single-channel ECG, heart rate variability, device validation, incremental cycling exercise, atrial fibrillation detection, autonomic nervous system, heart rate monitoring, remote patient monitoring
- MeSH terms
- Bicycling, Cross-Sectional Studies, Electrocardiography, Heart Rate, Humans, Exercise
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