Work

Fetal Heart Rate Detection with a Passive Acoustic Sensor System

Year: 2024
Type: dissertation
Abstract: Research and development is presented of real time signal processing methodologies for the detection of fetal heart tones from noise contaminated signals obtained from passive acoustic sensors. A nonlinear Teager energy operator is utilized for detection of the fetal heart tone event. Autocorrelation and a parallel redundancy correction algorithm derives fetal heart rates. A real time monitoring system is described which records and plots the time history of both the fetal heart rate and the acoustic fetal heart signal. The system is validated in the context of the fetal nonstress test. Comparisons are made with ultrasonic nonstress tests on a series of patients. Comparative data show the clinical reliability of the system for real time detection of fetal heart rates.
Language: English
Field: Medicine
Open Access status: green
OpenAlex ID: W6889636943
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