Browsing by Subject "Respiration"
Now showing 1 - 2 of 2
- Results Per Page
- Sort Options
Item Open Access Design and implementation of a PC-based heart rate variability and respiration recording system(2005) Korkmaz, Okay TuncaDetermination of the exact effects of respiration rate on the heart rate variability requires comprehensive experimental studies. In this context, these two quantities should be analyzed simultaneously. In this thesis, design and implementation of a new PC-based heart rate variability recording system with respiration is described. The respiration rate is detected by a thermocouple placed in a nasal tube, whereas a single-channel electrocardiogram (ECG) signal is recorded for heart rate variability analysis in the system. The PC-based data acquisition part, which was designed in compliance to patient safety standards, has a Universal Serial Bus (USB) interface. The speed of data acquisition and patient comfort during recording make the system advantageous. The HRVs of different patients in both spontaneous and controlled breathing conditions were analyzed after short-term recordings with the system. Differences were observed in both its time-domain parameters and power spectral components.Item Open Access Model based and experimental investigation of respiratory effect on the HRV power spectrum(Institute of Physics Publishing Ltd., 2006) Yildiz, M.; Ider, Y. Z.The role of respiration in the genesis of heart rate variability (HRV) has been the subject matter of many experimental and modeling studies. It is widely accepted that the high frequency (HF) peak of a HRV power spectrum, which is centered at the average respiratory frequency, is caused by mechanisms activated by respiration. On the other hand, there is a debate on the possible role of respiration in the genesis of the low frequency (LF) peak which is usually centered around 0.1 Hz. In this study, a comprehensive cardiorespiratory interaction model is used to test various hypotheses regarding the role of respiration in the LF peak of HRV. In this model, chest and abdomen circumference signals and lung volume signal are used as respiratory inputs. Simulations are made for periodic, spontaneous and slightly irregular respiratory patterns, and it is observed that the more low frequency (LF) power there in the respiratory signals, the more LF power there in the model-predicted HRV. Experiments on nine volunteers are also performed for the same respiratory patterns and similar results are observed. Furthermore, the actual measured respiratory signals are input to the model and the model predicted and the actual HRVs are compared both in time domain and also with respect to their power spectra. It is concluded in general that respiration not only is the major contributor to the genesis of the HF peak in the HRV power spectrum, but also plays an important role in the genesis of its LF peak. Thus, the LF/HF ratio, which is used to assess sympathovagal balance, cannot be correctly utilized in the absence of simultaneous monitoring of respiration during an HRV test.