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Critical Reviews™ in Biomedical Engineering

Publicou 6 edições por ano

ISSN Imprimir: 0278-940X

ISSN On-line: 1943-619X

SJR: 0.262 SNIP: 0.372 CiteScore™:: 2.2 H-Index: 56

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Ultra-Low-Noise Instrumentation and Computer-Based Data Acquisition and Processing System for Obtaining a Noninvasive and Intrauterine Catheter Fetal Electrocardiogram

Volume 28, Edição 1&2, 2000, pp. 165-171
DOI: 10.1615/CritRevBiomedEng.v28.i12.280
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RESUMO

A fetal electrocardiogram (FECG) from the abdominal surface will be from 20 mVpp to immeasurable. The intrauterine catheter signal will be from 50 mVpp - to unmeasureable and will be corrupted with a significant direct current component of 10 to 200 mV. For electrophysiological information to be obtained from the abdominal and intrauterine catheter signals, the signals must be in a 0.05 to 100.0 Hz bandwidth. Because typical adult electrocardiogram systems have a noise specification of 5 to 10 mVpp from instrumentation, these systems are unacceptable for obtaining a FECG via the intrauterine catheter or noninvasively. Therefore, custom instrumentation has been developed with a noise specification of approximately 1.5 mVpp in a 0.05 to 100.0 Hz bandwidth.
Design details of the custom instrumentation will be presented along with a laptop computer based data acquisition and signal processing system using Lab VIEW. In addition, clinical data from the intrauterine catheter and noninvasive abdominal wall are presented to determine the feasibility of obtaining a FECG via the custom instrumentation. Clinical data obtained and documented indicates that after maternal electrocardiogram cancellation, a FECG with a good signal-to-noise ratio can be obtained in a diagnostic bandwidth of 0.05 to 100.0 Hz. Because the diagnostic bandwidth is preserved, electrophysiological information can be determined along with heart rate.

CITADO POR
  1. Current Awareness, Prenatal Diagnosis, 21, 1, 2001. Crossref

  2. Horner Steven L., Holls William M., Real-time signal processing of an intrauterine catheter's fetal electrocardiogram, Digital Signal Processing, 13, 2, 2003. Crossref

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