Title :
DSP techniques in labor and delivery: digital filters and wavelets
Author :
Davison, James ; Khalifa, Reda ; Kadado, Taha ; Matalgah, Mustafa
Author_Institution :
Sch. of Med., Missouri Univ., Kansas City, MO, USA
Abstract :
This paper proposes some signal processing techniques to study the forces generated by the uterus during the second stage of the labor. The objective of this study is to find an effective signal analysis method to discriminate: between the forces attributed to the spontaneous contraction versus the maternal expulsive efforts. In addition, it is crucial to decompose the contraction waveform in order to determine the primary frequency band or scale localized forces responsible for the progress in labor. Clinical data has been collected using an 8 bit D/A system with the patient consent and in compliance with the moral and ethical code. Waveforms were collected during the end of first stage and throughout the second stage of labor. Late first stage contraction waveforms were used as the control signal. Wavelet based filtering and a zero phase filtering method using high order low pass Chebychev filter of type II were investigated. Both methods were used to filter out the maternal forces. The results were encouraging in the absence of any better alternative. Better conclusions can be drawn when the outcome of such methods are compared with clinical data related to labor progress
Keywords :
Chebyshev filters; biomedical measurement; digital-analogue conversion; force measurement; medical signal processing; patient monitoring; wave digital filters; wavelet transforms; 8 bit D/A system; DSP techniques; clinical data; contraction waveform; delivery; digital filters; ethical code; first stage; forces; high order low pass Chebychev filter; labor; maternal expulsive efforts; moral code; patient consent; primary frequency band; scale localized forces; second stage; signal analysis method; signal processing techniques; spontaneous contraction; uterus; wavelet based filtering; wavelets; zero phase filtering method; Anesthesia; Band pass filters; Biomedical signal processing; Cities and towns; Continuous wavelet transforms; Digital filters; Digital signal processing; Filtering; Finite impulse response filter; Muscles;
Conference_Titel :
Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference
Conference_Location :
Montreal, Que.
Print_ISBN :
0-7803-2475-7
DOI :
10.1109/IEMBS.1995.579465