A synchronous language, SIGNAL: application to heart rate variability and body movements analysis in sleeping newborns

Author

Médigue, C. ; Dupont, F. ; Clairambault, J. ; Curzi-Dascalova, L. ; Spassov, L.

Author_Institution

INRIA, Rocquencourt, France

fYear

1992

Firstpage

471

Lastpage

474

Abstract

To study the autonomic nervous system maturation in newborns, the authors analyzed the heart rate variability in correlation with sleep states and body movements. They used SIGNAL, a data flow parallel and synchronous language, designed for real time system programming. It answers the needs of this heart rate analysis sytem by processing large amounts of polygraphic signals at various sampling rates, and expressing relationships among their rhythms. The methods used and the implementation in the SIGNAL language are described

Keywords

biocontrol; cardiology; electrocardiography; medical signal processing; neurophysiology; parallel languages; real-time systems; ECG; SIGNAL; autonomic nervous system maturation; body movements analysis; data flow parallel language; heart rate variability; polygraphic signals; real time system programming; rhythms; sampling rates; sleep states; sleeping newborns; synchronous language; Autonomic nervous system; Heart rate; Heart rate variability; Parallel programming; Pediatrics; Real time systems; Signal analysis; Signal design; Signal processing; Sleep;

fLanguage

English

Publisher

ieee

Conference_Titel

Computers in Cardiology 1992, Proceedings of

Conference_Location

Durham, NC

Print_ISBN

0-8186-3552-5

Type

conf

DOI

10.1109/CIC.1992.269515

Filename

269515