Academic Journal
Accelerometer-based estimation of respiratory rate using principal component analysis and autocorrelation
| Τίτλος: | Accelerometer-based estimation of respiratory rate using principal component analysis and autocorrelation |
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| Συγγραφείς: | Hostrup, Mads Christian Frederiksen, Nielsen, Anne Sofie, Sørensen, Freja Emborg, Kragballe, Jesper Overgaard, Østergaard, Morten Ugilt, Korsgaard, Emil, Schmidt, Samuel Emil, Karbing, Dan Stieper |
| Πηγή: | Hostrup, M C F, Nielsen, A S, Sørensen, F E, Kragballe, J O, Østergaard, M U, Korsgaard, E, Schmidt, S E & Karbing, D S 2025, 'Accelerometer-based estimation of respiratory rate using principal component analysis and autocorrelation', Physiological Measurement, vol. 46, no. 3, 035005. https://doi.org/10.1088/1361-6579/adbe23 |
| Έτος έκδοσης: | 2025 |
| Συλλογή: | Aalborg University (AAU): Publications / Aalborg Universitet: Publikationer |
| Θεματικοί όροι: | respiratory rate, accelerometer, respiratory measurement, principal component analysis, autocorrelation, Humans, Male, Respiratory Rate/physiology, Young Adult, Monitoring, Physiologic/instrumentation, Signal Processing, Computer-Assisted, Female, Adult, Accelerometry/instrumentation |
| Περιγραφή: | Objective.Respiratory rate (RR) is an important vital sign but is often neglected. Multiple technologies exist for RR monitoring but are either expensive or impractical. Tri-axial accelerometry represents a minimally intrusive solution for continuous RR monitoring, however, the method has not been validated in a wide RR range. Therefore, the aim of this study was to investigate the agreement between RR estimation from a tri-axial accelerometer and a reference method in a wide RR range. Approach.Twenty-five healthy participants were recruited. For accelerometer RR estimation, the accelerometer was placed on the abdomen for optimal breathing movement detection. The acquired accelerometry data were processed using a lowpass filter, principal component analysis (PCA), and autocorrelation. The subjects were instructed to breathe at slow, normal, and fast paces in segments of 60 s. A flow meter was used as reference. Furthermore, the PCA-autocorrelation method was compared with a similar single axis method. Main results.The PCA-autocorrelation method resulted in a bias of 0.0 breaths per minute (bpm) and limits of agreement (LOA) = [-1.9; 1.9 bpm] compared to the reference. Overall, 99% of the RRs estimated by the PCA-autocorrelation method were within ±2 bpm of the reference. A Pearson correlation indicated a very strong correlation with r = 0.99 (p<0.001). The single axis method resulted in a bias of 3.7 bpm, LOA = [-14.9; 22.3 bpm], and r = 0.44 (p<0.001). Significance.The results indicate a strong agreement between the PCA-autocorrelation method and the reference. Furthermore, the PCA-autocorrelation method outperformed the single axis method. |
| Τύπος εγγράφου: | article in journal/newspaper |
| Περιγραφή αρχείου: | application/pdf |
| Γλώσσα: | English |
| ISSN: | 0967-3334 0951-7979 |
| Relation: | info:eu-repo/semantics/altIdentifier/pmid/40054067; info:eu-repo/semantics/altIdentifier/pissn/0967-3334; info:eu-repo/semantics/altIdentifier/eissn/0951-7979 |
| DOI: | 10.1088/1361-6579/adbe23 |
| Διαθεσιμότητα: | https://vbn.aau.dk/da/publications/9470ffac-cfd6-4ba3-8c8a-5c99e321a522 https://doi.org/10.1088/1361-6579/adbe23 https://vbn.aau.dk/ws/files/771335537/Hostrup_2025_Physiol._Meas._46_035005.pdf https://www.scopus.com/pages/publications/105000455163 |
| Rights: | info:eu-repo/semantics/openAccess ; http://creativecommons.org/licenses/by/4.0/ |
| Αριθμός Καταχώρησης: | edsbas.9797B01A |
| Βάση Δεδομένων: | BASE |
| ISSN: | 09673334 09517979 |
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| DOI: | 10.1088/1361-6579/adbe23 |