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Tom Beattie

Publications and source records attributed to Tom Beattie.

5 recordsLinked to original sources

An automated algorithm for determining respiratory rate by photoplethysmogram in children.

BACKGROUND: We have developed an automated algorithm to allow the measurement of respiratory rate directly from the photoplethysmogram (pulse oximeter waveform). AIM: To test the algorithm's ability to determine respiratory rate in children. METHODS: A convenience sample of patients attending a paediatric Accident and Emergency Department was monitored using a purpose-built pulse oximeter and the photoplethysmogram (PPG) recorded. Respiration was also recorded by an observer activating a push-button switch in synchronization with the child's breathing. The switch marker signals were processed to derive a manual respiratory rate that was compared with the wavelet-based oximeter respiratory rate derived from the PPG signal. RESULTS: Photoplethysmograms were obtained from 18 children aged 18 mo to 12 y, breathing spontaneously at rates of 17 to 27 breaths per minute. There was close correspondence between the wavelet-based oximeter respiration rate and the manual respiratory rate, with the difference between them being less than one breath per minute in all children. CONCLUSION: Our automated algorithm allows the accurate determination of respiratory rate from photoplethysmograms of a heterogeneous group of children. We believe that our automated wavelet-based signal-processing techniques could soon be easily incorporated into current pulse oximetry technology.

Algorithms↗

Can the height of fall predict long bone fracture in children under 24 months?

AIMS: It can be difficult to determine the exact mechanism of injury in infants and babies aged 24 months and under. Falls are the most common mechanism of injury in children. The purpose of this study is to identify the relationship between reported height of fall and long bone fracture. METHODS: All children aged under 24 months who sustained a fracture (in the year 2003) were identified prospectively on the departmental fracture database. These children were matched for age and sex with children identified as having fallen but not having sustained a fracture. RESULTS: Sixty-three children aged 24 months and under were studied. The median height of fall in this group was 48 cm and that in the control group was 20 cm, P<0.001. A significant correlation was observed between the height of fall (cm) and severity of injury (Pearson's correlation coefficient=0.255). Receiver operating characteristic analysis indicates that the likelihood of significant fracture requiring admission and/or manipulation under anaesthesia occurs with a fall from a height of 56 cm [sensitivity 80% (confidence interval 29-97%), specificity 79% (confidence interval 70-86%)]. It was not possible to identify a height at which the risk of any fracture injury became significantly more likely. CONCLUSION: Height of fall is only one factor that must be considered in dealing with fracture injury in children aged 24 months or under. However, significant injury presenting with falls from less than 50 cm should be critically evaluated.

Accidental Falls↗