Volume 28, Issue s1 pp. S26-S32
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HomeLog: Long-term recording of infant temperature, respiratory and cardiac signals in the home environment

R. P. K. FORD

R. P. K. FORD

Department of Paediatrics

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P. J. BROWN

Corresponding Author

P. J. BROWN

Department of Paediatrics

Dr P. J. Brown, Department of Paediatrics, Christchurch Hospital, Private Bag, Christchurch, New Zealand.Search for more papers by this author
R. A. DOVE

R. A. DOVE

Department of Medical Physics and Bioengineering, Christchurch Hospital

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C. S. TUFFNELL

C. S. TUFFNELL

Department of Electrical and Electronic Engineering, University of Canterbury, Christchurch, New Zealand

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P. M. MACEY

P. M. MACEY

Department of Electrical and Electronic Engineering, University of Canterbury, Christchurch, New Zealand

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First published: August 1992
Citations: 9

R. P. K. Ford, MD, FRACP, Community Paediatrician. P. J. Brown, MB, ChB, Research Fellow. R. A. Dove, ME, Biomedical Engineer. C. S. Tuffnell, BE, PhD Student. P. M. Macey, BE, PhD Student.

Abstract

Abstract There is increasing evidence that overheating is a contributing factor for some cot deaths. The authors' hypothesis is that infant thermoregulation is closely related to respiratory control. HomeLog is a system built to investigate the developing thermal, respiratory and cardiac behaviour of infants in the home environment over several weeks. HomeLong is based on a modified laptop computer. Signals recorded include body temperature (from rectal and various skin sites), ambient temperature, thoracic impedance, abdominal movement and electrocardiogram (ECG). Continuous night-time recordings have been made for up to 6 weeks from infants between 1 and 4 months of age, in their own cots, in their own homes. Various time and frequency domain analyses of the breathing and temperature data have been developed. Analysis of breath rate variability and of body temperature fluctuations has confirmed sleep/weke changes. In addition, a periodic oscillation of body temperature every 1–2 h has been found, which closely matches oscillations of breath rate variability.

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