scholarly journals Digital Spectral Analysis on the Plane of Complex Frequencies of Transients of the Heart Rhythm at Schoolchildren at Performing a Proof Test

2020 ◽  
Vol 20 (1) ◽  
pp. 161-170
Author(s):  
A.N. Ragozin ◽  
V.F. Telezhkin ◽  
A.M. Usynin ◽  
L.Ya. Dotsoev ◽  
A.D. Pletenkova ◽  
...  
Keyword(s):  
Spectral Analysis ◽  
Heart Rhythm ◽  
Digital Spectral Analysis

On‐Line Digital Spectral Analysis

1971 ◽  
Vol 42 (11) ◽  
pp. 1657-1663 ◽  
Author(s):  
W. Calvert ◽  
R. A. Greenwald ◽  
K. H. Geissler
Keyword(s):  
Spectral Analysis ◽  
On Line ◽  
Digital Spectral Analysis

Comments on ``On‐Line Digital Spectral Analysis''

1972 ◽  
Vol 43 (5) ◽  
pp. 839-840
Author(s):  
J. C. Hoffmann ◽  
B. Lacaze ◽  
P. Csillag
Keyword(s):  
Spectral Analysis ◽  
On Line ◽  
Digital Spectral Analysis

Some metrological aspects of spectral analysis for heart rhythm

1989 ◽  
Vol 23 (2) ◽  
pp. 44-47
Author(s):  
A. F. Babak ◽  
S. S. Kostylev ◽  
M. B. Psakhis ◽  
T. A. Chepurnykh
Keyword(s):  
Spectral Analysis ◽  
Heart Rhythm

scholarly journals Parameters of the spectral analysis of the heart rate variability in treating depression

Medicina ◽  
2009 ◽  
Vol 45 (3) ◽  
pp. 214 ◽  
Author(s):  
Sergejus Andruškevičius
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Spectral Analysis ◽  
Circadian Rhythms ◽  
Heart Rhythm ◽  
Endogenous Depression ◽  
Control Group ◽  
Depression Symptoms ◽  
International Classification Of Disease ◽  
Icd 10

The objective of this work was to study circadian rhythms of the indicators of the spectral analysis of the heart rate variability in case of depression. Materials and methods. A total of 37 patients, with a mean age of 46.7±10.3 years, were examined. According to the International Classification of Disease, 10th revision (ICD-10), endogenous depression was diagnosed for all of them (F 31.3–31.4, F 32.0–32.2, F 33.0–33.2). To assess the variability of the heart rhythm, the spectral analysis was used. The patients were examined at 1 AM, 7 AM, 1 PM, 7 PM prior to the beginning of treatment, following one week, and upon leaving the inpatient department. The control group consisted of 15 mentally healthy people. Results. Before the beginning of treatment, desynchronization of circadian rhythms of the indicators studied and the sleep-wake cycle, the increase in the spectrum power within lowfrequency (LF) range, and the decrease in the spectrum power within high-frequency (HF) range were observed. Reduction of depression symptoms was followed by resynchronization of the rhythms under study, with a spectrum power within LF range being increased and that within HF range – decreased. Conclusions. Changes in depression symptoms and chronobiological disorders testify to their close pathogenetic link.

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