Literature DB >> 17060168

A fuzzy logic based apnoea monitor for SIDS risk infants.

M J Burke1, R Downes.   

Abstract

A unit has been designed which monitors newborn infants at risk of Sudden Infant Death Syndrome (SIDS) in a home environment. The unit monitors respiration, electrocardiogram (ECG) and haemoglobin oxygen saturation (SpO2) in combination, in order to detect any potentially life threatening event at an early stage. Provision is made for the generation of both audible and silent alarms and for the storage of signals and other information before, during and after an alarm episode for diagnostic purposes. An intelligent fuzzy logic algorithm is used to process the signals monitored and to implement several propositions concerning their status in order to determine the probability of an apnoea event and initiate the appropriate action. This has substantially reduced the number of false alarms and of undetected dangerous situations compared with previous units, which greatly improves the reliability and usefulness of such a monitor.

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Year:  2006        PMID: 17060168     DOI: 10.1080/03091900600590140

Source DB:  PubMed          Journal:  J Med Eng Technol        ISSN: 0309-1902


  2 in total

1.  Reducing unnecessary lab testing in the ICU with artificial intelligence.

Authors:  F Cismondi; L A Celi; A S Fialho; S M Vieira; S R Reti; J M C Sousa; S N Finkelstein
Journal:  Int J Med Inform       Date:  2012-12-28       Impact factor: 4.046

Review 2.  Clinical applications of artificial intelligence in sleep medicine: a sleep clinician's perspective.

Authors:  Anuja Bandyopadhyay; Cathy Goldstein
Journal:  Sleep Breath       Date:  2022-03-09       Impact factor: 2.816

  2 in total

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