### 摘要

原文 | 英語 |
---|---|

主出版物標題 | Computing in Cardiology |

頁面 | 589-592 |

頁數 | 4 |

卷 | 37 |

出版狀態 | 已發佈 - 2010 |

事件 | Computing in Cardiology 2010, CinC 2010 - Belfast, 英国 持續時間: 九月 26 2010 → 九月 29 2010 |

### 其他

其他 | Computing in Cardiology 2010, CinC 2010 |
---|---|

國家 | 英国 |

城市 | Belfast |

期間 | 9/26/10 → 9/29/10 |

### 指紋

### ASJC Scopus subject areas

- Computer Science Applications
- Cardiology and Cardiovascular Medicine

### 引用此文

*Computing in Cardiology*(卷 37, 頁 589-592). [5738041]

**Frequency-domain heart rate variability analysis performed by digital filters.** / Lee, Tsung Chieh; Chiu, Hung Wen.

研究成果: 書貢獻/報告類型 › 會議貢獻

*Computing in Cardiology.*卷 37, 5738041, 頁 589-592, Computing in Cardiology 2010, CinC 2010, Belfast, 英国, 9/26/10.

}

TY - GEN

T1 - Frequency-domain heart rate variability analysis performed by digital filters

AU - Lee, Tsung Chieh

AU - Chiu, Hung Wen

PY - 2010

Y1 - 2010

N2 - Short-term heart rate variability (HRV) analysis based on spectral methods has been widely applied to assessment of autonomic nervous system activities for many physiological and mental disorders. Recently, homecare devices designed for heart monitoring have attempted to include HRV analysis function. These homecare devices based on some microprocessors with low computational power might encounter difficulty in implementing HRV spectral analysis for real-time applications. Therefore simple and less computation consuming methods to calculate frequency domain HRV indicators are needed. In this study, time-domain digital filters are proposed to solve this problem. The low-frequency (LF, 0.04-0.15 Hz) band and high-frequency (HF, 0.15-0.4 Hz) band signals of HRV are filtered from original 256 beats HRV signal. The variances of these two signals were considered as the equivalence of LF and HF powers derived from standard Fourier-based spectra respectively. Some finite and infinite impulse response (FIR and IIR) filters were tested to show their feasibility and find the optimal filter. The results showed that the time-domain filter with simple modification can generate comparable LF and HF power of HRV. The FIR filter-based method just uses the convolution operator thus it can simplify the design and deployment of short-term HRV analysis in homecare devices and make the real-time applications easier.

AB - Short-term heart rate variability (HRV) analysis based on spectral methods has been widely applied to assessment of autonomic nervous system activities for many physiological and mental disorders. Recently, homecare devices designed for heart monitoring have attempted to include HRV analysis function. These homecare devices based on some microprocessors with low computational power might encounter difficulty in implementing HRV spectral analysis for real-time applications. Therefore simple and less computation consuming methods to calculate frequency domain HRV indicators are needed. In this study, time-domain digital filters are proposed to solve this problem. The low-frequency (LF, 0.04-0.15 Hz) band and high-frequency (HF, 0.15-0.4 Hz) band signals of HRV are filtered from original 256 beats HRV signal. The variances of these two signals were considered as the equivalence of LF and HF powers derived from standard Fourier-based spectra respectively. Some finite and infinite impulse response (FIR and IIR) filters were tested to show their feasibility and find the optimal filter. The results showed that the time-domain filter with simple modification can generate comparable LF and HF power of HRV. The FIR filter-based method just uses the convolution operator thus it can simplify the design and deployment of short-term HRV analysis in homecare devices and make the real-time applications easier.

UR - http://www.scopus.com/inward/record.url?scp=79953835960&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79953835960&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:79953835960

SN - 9781424473182

VL - 37

SP - 589

EP - 592

BT - Computing in Cardiology

ER -