Comparison of autoregression and fast Fourier transform techniques for power spectral analysis of heart period variability of persons with sudden cardiac arrest before and after therapy to increase heart period variability

1992 ◽  
Vol 25 ◽  
pp. 234-239 ◽  
Author(s):  
Marie J. Cowan ◽  
Robert L. Burr ◽  
Siva Bala Narayanan ◽  
Ann Buzaitis ◽  
Mary Strasser ◽  
...  
Keyword(s):  
Cardiac Arrest ◽  
Spectral Analysis ◽  
Fourier Transform ◽  
Sudden Cardiac Arrest ◽  
Power Spectral Analysis ◽  
Heart Period ◽  
Heart Period Variability ◽  
Period Variability ◽  
Power Spectral ◽  
Before And After

Assessment of Autonomic Response before and after Total Spinal Anesthesia in Rats: Power Spectral Analysis

2005 ◽  
Vol 48 (2) ◽  
pp. 182
Author(s):  
Gyu Sam Hwang ◽  
In Young Huh ◽  
Su Jin Kang ◽  
Mi Ok Youn ◽  
Won Jung Shin ◽  
...  
Keyword(s):  
Spectral Analysis ◽  
Spinal Anesthesia ◽  
Power Spectral Analysis ◽  
Autonomic Response ◽  
Total Spinal Anesthesia ◽  
Power Spectral ◽  
Before And After

Autonomic Nervous Function during Haemodialysis Assessed by Spectral Analysis of Heart-Rate Variability

1997 ◽  
Vol 92 (4) ◽  
pp. 351-359 ◽  
Author(s):  
Silvio Cavalcanti ◽  
Stefano Severi ◽  
Lorenzo Chiari ◽  
Guido Avanzolini ◽  
Guido Enzmann ◽  
...  
Keyword(s):  
Heart Rate ◽  
Spectral Analysis ◽  
Arterial Pressure ◽  
Blood Volume ◽  
Autonomic Response ◽  
Haemodynamic Instability ◽  
Chronic Haemodialysis ◽  
Heart Period ◽  
Heart Period Variability ◽  
Period Variability

1. Short-term autonomic response to haemodialysis-induced hypovolaemia was studied in 30 patients undergoing chronic haemodialysis by analysing power spectra of heart-period variability. Patients were classified as haemodynamically stable (15 patients) and unstable (15 patients) according to their past history of cardiovascular collapse during the treatment. Blood volume, systolic arterial pressure and heart period were measured during sessions that ended without the occurrence of collapse. 2. No significant differences were observed when comparing blood volume, heart rate and arterial pressure of stable and unstable patients during the dialysis, and the two groups could not be distinguished merely on the basis of these haemodynamic parameters. Conversely, spectral analysis of beat-to-beat heart-period variability showed markedly different power patterns: in stable patients power was mainly in the low-frequency (LF) band (0.06–0.15 Hz), whereas in unstable patients it was mainly in the high-frequency (HF) band (0.15–0.4 Hz). 3. The efficiency of the autonomic response to hypovolaemia was evaluated by the ratio between the powers in the LF and HF bands. Stable patients exhibited an LF/HF power ratio systematically greater than unstable patients during the entire dialysis, and on the basis of this index the two groups were clearly separated. 4. Results obtained with spectral analysis lead us to conclude that reduced efficiency in the autonomic control of cardiovascular functions could be the main cause of the haemodynamic instability of patients prone to collapse.

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