Analyzing heart period signal for fetus and pregnant woman in perinatal period / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 507-510, 2003.
Article
in Chinese
| WPRIM
| ID: wpr-312942
ABSTRACT
Analyzing the digital characteristics (chaotic and spectral features) of fetal and pregnant woman's heart period signal (HPS) can assess the autonomic nervous system function. Extracting and analyzing HPS of fetal and pregnant woman in perinatal period were realized by using the method of visual programming. The subjects were in supine position. Electrocardiography-signal (ECS) from the leads placed at symphysis pubic bone to inferior border of abdominal wall was acquired. ECS was preprocessed by wavelet filter. The sophisticated technique developed by our laboratory was used to analyze the digital characteristics of HPS. The system could be used to assess fetal and pregnant woman's autonomic nervous system function, furthermore, sympathetic and parasympathetic nervous function could be evaluated respectively and quantificationally. The system also could be used to prognosticate fetal distress. The digital characteristics of fetal and other age groups' HPS, which vary with age, suggest the physiological process of development, mature and senility of autonomic nervous system; based on it, we could find the way of anti-senility. Some digital parameters of fetal HPS stand between those of newborn and adult, which may imply that fetal autonomic nervous regulation is influenced by mother's nerve and endocrine system.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Parasympathetic Nervous System
/
Physiology
/
Autonomic Nervous System
/
Signal Processing, Computer-Assisted
/
Embryology
/
Electrocardiography
/
Fetal Heart
/
Heart
Type of study:
Prognostic study
Limits:
Adult
/
Female
/
Humans
/
Pregnancy
Language:
Chinese
Journal:
Journal of Biomedical Engineering
Year:
2003
Type:
Article
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