دانلود مقاله ISI انگلیسی شماره 72653
ترجمه فارسی عنوان مقاله

بررسی ضربان قلب در بیماران مبتلا به افسردگی اساسی با استفاده از تبدیل موجک بسته

عنوان انگلیسی
Investigation of heart rate variability in major depression patients using wavelet packet transform
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
72653 2016 7 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Psychiatry Research, Volume 238, 30 April 2016, Pages 326–332

ترجمه کلمات کلیدی
ضربان قلب؛ تجزیه بسته های موجک؛ افسردگی اساسی
کلمات کلیدی انگلیسی
Heart rate variability; Wavelet packet decomposition; sympathovagal balance; Major depression
پیش نمایش مقاله
پیش نمایش مقاله  بررسی ضربان قلب در بیماران مبتلا به افسردگی اساسی با استفاده از تبدیل موجک بسته

چکیده انگلیسی

Studies conducted in major depression (MD) patients have reported a high risk of cardiac morbidity as a result of the relationship between changed cardiovascular activity (CA) and autonomic dysfunctions. The investigation of heart rate variability (HRV) gives valuable idea about variances in autonomic CA of MD patients. To get this knowledge, frequency-domain HRV analysis is frequently performed using Fourier transformation (FT) or discrete-wavelet transformation (DWT) to decompose the data into high-frequency (HF) and low-frequency (LF) bands. Nevertheless, it has been reported that the FT is not useful for nonstationary HRV signals and the DWT does not ensure required frequency boundaries of each band. This study aims to compare the frequency-domain HRV features using wavelet-packet-transform (WPT) with absolutely excellent approximation to required band ranges between the controls and patients. In addition to LF and HF band energies, sympathovagal balance that indicates the variation of sympathetic and parasympathetic activities were compared between two groups. Patients had a significantly lower HF energy, higher values of LF energy and higher LF/HF ratio. Our results recommend that impairments in coordination between parasympathetic and sympathetic behavior in MD patients can be assessed by HRV analysis using WPT with high resolution decomposition for needed bands.