Wavelet transform analysis of heart rate variability for determining ventilatory thresholds in cyclists
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| Format: | Artículo científico |
| Langue: | en |
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Junta de Andalucía
2008
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| _version_ | 1876485061369397248 |
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| author | J. M. García-Manso |
| author_facet | J. M. García-Manso |
| contents | Wavelet transform analysis of heart rate variability for determining ventilatory thresholds in cyclists J. M. García-Manso S. Sarmiento-Montesdeoca J. M. Martín-González F. J. Calderón-Montero M. E. Da Silva-Grigoletto Medicina Exercise Non linear analysis Heart rate variability Time frequency analysis Purpose. This study aims to compare the relationship between the ventilatory thresholds and the aerobic and anaerobic thresholds obtained by continuous wavelet transform (CWT) of heart rate variability (HRV). Methods. Eight healthy, trained, male cyclists (age: 17.12 ± 1.11 years; height: 1.73 ± 0.06 m; weight: 69.96 ± 8.03 kg) underwent an ergospirometric test on a cycloergometer, performing an incremental protocol until exhaustion. The cardiac signal was recorded using cardiotachometers. The aerobic-anaerobic transi- tion phase was identified by wavelet analysis using the kinetics of the maximum spectral energy peaks (fp) of the HRV high-frequency (HF) and very high-frequency (VHF) bands, and those of the product of the HF- VHF instantaneous spectral power (ms2) and fp (PS·fp). The aerobic and anaerobic thresholds obtained were compared to those provided by the standard analysis of gas exchange variables. Results. No significant differences were observed between the aerobic and anaerobic thresholds identified by wavelet analysis involving either fp or PS·fp, and those identified by the respiratory exchange variables. Bland-Altman plots showed that both methodologies identified identical transition zones. When the com- parison variable used in the wavelet analysis was fp, a close agreement was seen with the gaseous exchange variable analysis in terms of the aerobic threshold; the relationship was less strong for the anaerobic threshold. When the comparison variable was PS·fp, the relationship between the methodologies was again within the acceptable range, although this time agreement was stronger for the anaerobic threshold. Conclusion. Wavelet analysis of the HRV is a valid method for identifying the aerobic-anaerobic transition phase 2008 artículo científico 1888-7546 https://www.redalyc.org/articulo.oa?id=323327656002 en http://www.redalyc.org/revista.oa?id=3233 Revista Andaluza de Medicina del Deporte application/pdf Junta de Andalucía Revista Andaluza de Medicina del Deporte (España) Num.3 Vol.1 |
| format | Artículo científico |
| id | redalyc_323327656002 |
| institution | Redalyc |
| language | en |
| publishDate | 2008 |
| publisher | Junta de Andalucía |
| spellingShingle | Wavelet transform analysis of heart rate variability for determining ventilatory thresholds in cyclists J. M. García-Manso Medicina Exercise Non linear analysis Heart rate variability Time frequency analysis Wavelet transform analysis of heart rate variability for determining ventilatory thresholds in cyclists J. M. García-Manso S. Sarmiento-Montesdeoca J. M. Martín-González F. J. Calderón-Montero M. E. Da Silva-Grigoletto Medicina Exercise Non linear analysis Heart rate variability Time frequency analysis Purpose. This study aims to compare the relationship between the ventilatory thresholds and the aerobic and anaerobic thresholds obtained by continuous wavelet transform (CWT) of heart rate variability (HRV). Methods. Eight healthy, trained, male cyclists (age: 17.12 ± 1.11 years; height: 1.73 ± 0.06 m; weight: 69.96 ± 8.03 kg) underwent an ergospirometric test on a cycloergometer, performing an incremental protocol until exhaustion. The cardiac signal was recorded using cardiotachometers. The aerobic-anaerobic transi- tion phase was identified by wavelet analysis using the kinetics of the maximum spectral energy peaks (fp) of the HRV high-frequency (HF) and very high-frequency (VHF) bands, and those of the product of the HF- VHF instantaneous spectral power (ms2) and fp (PS·fp). The aerobic and anaerobic thresholds obtained were compared to those provided by the standard analysis of gas exchange variables. Results. No significant differences were observed between the aerobic and anaerobic thresholds identified by wavelet analysis involving either fp or PS·fp, and those identified by the respiratory exchange variables. Bland-Altman plots showed that both methodologies identified identical transition zones. When the com- parison variable used in the wavelet analysis was fp, a close agreement was seen with the gaseous exchange variable analysis in terms of the aerobic threshold; the relationship was less strong for the anaerobic threshold. When the comparison variable was PS·fp, the relationship between the methodologies was again within the acceptable range, although this time agreement was stronger for the anaerobic threshold. Conclusion. Wavelet analysis of the HRV is a valid method for identifying the aerobic-anaerobic transition phase 2008 artículo científico 1888-7546 https://www.redalyc.org/articulo.oa?id=323327656002 en http://www.redalyc.org/revista.oa?id=3233 Revista Andaluza de Medicina del Deporte application/pdf Junta de Andalucía Revista Andaluza de Medicina del Deporte (España) Num.3 Vol.1 |
| title | Wavelet transform analysis of heart rate variability for determining ventilatory thresholds in cyclists |
| topic | Medicina Exercise Non linear analysis Heart rate variability Time frequency analysis |
| url | https://www.redalyc.org/articulo.oa?id=323327656002 |