Performance Comparison of Time-Frequency Distributions for Estimation of Instantaneous Frequency of Heart Rate Variability Signals
The instantaneous frequency (IF) of a non-stationary signal is usually estimated from a time-frequency distribution (TFD). The IF of heart rate variability (HRV) is an important parameter because the power in a frequency band around the IF can be used for the interpretation and analysis of the respi...
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MDPI AG
2017-02-01
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| Series: | Applied Sciences |
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| Online Access: | http://www.mdpi.com/2076-3417/7/3/221 |
| _version_ | 1811299525217746944 |
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| author | Nabeel Ali Khan Peter Jönsson Maria Sandsten |
| author_facet | Nabeel Ali Khan Peter Jönsson Maria Sandsten |
| author_sort | Nabeel Ali Khan |
| collection | DOAJ |
| description | The instantaneous frequency (IF) of a non-stationary signal is usually estimated from a time-frequency distribution (TFD). The IF of heart rate variability (HRV) is an important parameter because the power in a frequency band around the IF can be used for the interpretation and analysis of the respiratory rate but also for a more accurate analysis of heart rate (HR) signals. In this study, we compare the performance of five states of the art kernel-based time-frequency distributions (TFDs) in terms of their ability to accurately estimate the IF of HR signals. The selected TFDs include three widely used fixed kernel methods: the modified B distribution, the S-method and the spectrogram; and two adaptive kernel methods: the adaptive optimal kernel TFD and the recently developed adaptive directional TFD. The IF of the respiratory signal, which is usually easier to estimate as the respiratory signal is a mono-component with small amplitude variations with time, is used as a reference to examine the accuracy of the HRV IF estimates. Experimental results indicate that the most reliable estimates are obtained using the adaptive directional TFD in comparison to other commonly used methods such as the adaptive optimal kernel TFD and the modified B distribution. |
| first_indexed | 2024-04-13T06:37:05Z |
| format | Article |
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| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-04-13T06:37:05Z |
| publishDate | 2017-02-01 |
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| series | Applied Sciences |
| spelling | doaj.art-0ac5c07d6b8e4ff19341da20bbc09bbe2022-12-22T02:57:51ZengMDPI AGApplied Sciences2076-34172017-02-017322110.3390/app7030221app7030221Performance Comparison of Time-Frequency Distributions for Estimation of Instantaneous Frequency of Heart Rate Variability SignalsNabeel Ali Khan0Peter Jönsson1Maria Sandsten2Department of Electrical Engineering, Foundation University, Islamabad 44000, PakistanSchool of Education and Environment, Centre for Psychology, Kristianstad University, Kristianstad 291 88, SwedenMathematical Statistics, Centre for Mathematical Sciences, Lund University, Lund 221 00, SwedenThe instantaneous frequency (IF) of a non-stationary signal is usually estimated from a time-frequency distribution (TFD). The IF of heart rate variability (HRV) is an important parameter because the power in a frequency band around the IF can be used for the interpretation and analysis of the respiratory rate but also for a more accurate analysis of heart rate (HR) signals. In this study, we compare the performance of five states of the art kernel-based time-frequency distributions (TFDs) in terms of their ability to accurately estimate the IF of HR signals. The selected TFDs include three widely used fixed kernel methods: the modified B distribution, the S-method and the spectrogram; and two adaptive kernel methods: the adaptive optimal kernel TFD and the recently developed adaptive directional TFD. The IF of the respiratory signal, which is usually easier to estimate as the respiratory signal is a mono-component with small amplitude variations with time, is used as a reference to examine the accuracy of the HRV IF estimates. Experimental results indicate that the most reliable estimates are obtained using the adaptive directional TFD in comparison to other commonly used methods such as the adaptive optimal kernel TFD and the modified B distribution.http://www.mdpi.com/2076-3417/7/3/221time-frequency analysisheart rate variabilityrespiratory signalinstantaneous frequency |
| spellingShingle | Nabeel Ali Khan Peter Jönsson Maria Sandsten Performance Comparison of Time-Frequency Distributions for Estimation of Instantaneous Frequency of Heart Rate Variability Signals Applied Sciences time-frequency analysis heart rate variability respiratory signal instantaneous frequency |
| title | Performance Comparison of Time-Frequency Distributions for Estimation of Instantaneous Frequency of Heart Rate Variability Signals |
| title_full | Performance Comparison of Time-Frequency Distributions for Estimation of Instantaneous Frequency of Heart Rate Variability Signals |
| title_fullStr | Performance Comparison of Time-Frequency Distributions for Estimation of Instantaneous Frequency of Heart Rate Variability Signals |
| title_full_unstemmed | Performance Comparison of Time-Frequency Distributions for Estimation of Instantaneous Frequency of Heart Rate Variability Signals |
| title_short | Performance Comparison of Time-Frequency Distributions for Estimation of Instantaneous Frequency of Heart Rate Variability Signals |
| title_sort | performance comparison of time frequency distributions for estimation of instantaneous frequency of heart rate variability signals |
| topic | time-frequency analysis heart rate variability respiratory signal instantaneous frequency |
| url | http://www.mdpi.com/2076-3417/7/3/221 |
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