Response to Active Standing of Heart Beat Interval, Systolic Blood Volume and Systolic Blood Pressure: Recurrence Plot Analysis

2014 ◽  
pp. 109-123 ◽  
Author(s):  
Hortensia González ◽  
Oscar Infante ◽  
Claudia Lerma
Keyword(s):  
Blood Pressure ◽  
Systolic Blood Pressure ◽  
Blood Volume ◽  
Recurrence Plot ◽  
Heart Beat ◽  
Plot Analysis ◽  
Recurrence Plot Analysis

Identification of global and local states during seizures using quantitative functional connectivity and recurrence plot analysis

2020 ◽  
Vol 122 ◽  
pp. 103858
Author(s):  
Leila Abrishami Shokooh ◽  
Dènahin Hinnoutondji Toffa ◽  
Philippe Pouliot ◽  
Frédéric Lesage ◽  
Dang Khoa Nguyen
Keyword(s):  
Functional Connectivity ◽  
Recurrence Plot ◽  
Plot Analysis ◽  
Recurrence Plot Analysis ◽  
Global And Local

scholarly journals Maximum entropy principle in recurrence plot analysis on stochastic and chaotic systems

2020 ◽  
Vol 30 (4) ◽  
pp. 043123
Author(s):  
T. L. Prado ◽  
G. Corso ◽  
G. Z. dos Santos Lima ◽  
R. C. Budzinski ◽  
B. R. R. Boaretto ◽  
...  
Keyword(s):  
Maximum Entropy ◽  
Chaotic Systems ◽  
Maximum Entropy Principle ◽  
Recurrence Plot ◽  
Plot Analysis ◽  
Entropy Principle ◽  
Recurrence Plot Analysis

Recurrence Plot Analysis of HRV for Exposure to Low-Frequency Noise

2014 ◽  
Vol 1044-1045 ◽  
pp. 1251-1257 ◽  
Author(s):  
Shih Tsung Chen ◽  
Chia Yi Chou ◽  
Li Ho Tseng
Keyword(s):  
Low Frequency ◽  
Cardiovascular Responses ◽  
Recurrence Plot ◽  
Frequency Noise ◽  
Cardiovascular Activity ◽  
Low Frequency Noise ◽  
Noise Levels ◽  
Noise Condition ◽  
Plot Analysis ◽  
Recurrence Plot Analysis

Previous studies have indicated that the chronic effects of exposure to low-frequency noise causes annoyance. However, during the past two decades, most studies have employed questionnaires to characterize the effects of noise on psychosomatic responses. This study investigated cardiovascular activity changes in exposure to low-frequency noise for various noise intensities by using recurrence plot analysis of heart rate variability (HRV) estimation. The authors hypothesized that distinct noise intensities affect cardiovascular activity, which would be reflected in the HRV and recurrence quantification analysis (RQA) parameters. The test intensities of noises were no noise, 70-dBC, 80-dBC, and 90-dBC. Each noise level was sustained for 5 min, and the electrocardiogram (ECG) was recorded simultaneously. The cardiovascular responses were evaluated using RQA of the beat-to-beat (RR) intervals obtained from ECG signals. The results showed that the mean RR interval variability and mean blood pressure did not substantially change relative to the noise levels. However, the length of the longest diagonal line (Lmax) of the RQA of the background noise (no noise) condition was significantly lower than the 70-dBC, 80-dBC, and 90-dBC noise levels. The laminarity showed significant changes in the noise levels of various intensities. In conclusion, the RQA-based measures appear to be an effective tool for exposure to low-frequency noise, even in short-term HRV time series.

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