A real-time algorithm for predicting core temperature in humans

IEEE Transactions on Information Technology in Biomedicine

Volumn 14, Issue 4, 2010, Pages 1039-1045

  Gribok, Andrei V ^a,b   Buller, Mark J ^c,d   Hoyt, Reed W ^d   Reifman, Jaques ^a  

^a U S ARMY MEDICAL RESEARCH AND MATERIEL COMMAND   (United States)

^b University of Tennessee   (United States)

^c BROWN UNIVERSITY   (United States)

^d U S ARMY RESEARCH INSTITUTE OF ENVIRONMENTAL MEDICINE   (United States)

Author keywords

Autoregressive (AR) models; core temperature predictions; real time prediction

Indexed keywords

ACCURATE PREDICTION; AR MODELS; AUTO REGRESSIVE MODELS; BUTTERWORTH; CORE TEMPERATURE; DEVELOPED MODEL; FIELD STUDIES; OFF-LINE ALGORITHM; OFFLINE; PREDICTION ACCURACY; PREDICTION HORIZON; PREDICTION INTERVAL; PREDICTION UNCERTAINTY; REAL TIME; REAL TIME ALGORITHMS; REAL-TIME FORECASTS; REAL-TIME IMPLEMENTATIONS; REAL-TIME PREDICTION; ROOT MEAN SQUARED ERRORS; SENSITIVITY AND SPECIFICITY; TEMPERATURE DATA; TEMPERATURE PREDICTION; TEMPERATURE VARIABILITY; ZERO-PHASE;

ALGORITHMS; ARGON; DIGITAL FILTERS; FEEDBACK CONTROL; REAL TIME CONTROL; UNCERTAINTY ANALYSIS;

FORECASTING;

ALGORITHM; ARTICLE; BODY TEMPERATURE; HUMAN;

ALGORITHMS; BODY TEMPERATURE; HUMANS;

EID: 77954598082     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2010.2043956     Document Type: Article

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