Automatic detection of swallowing events by acoustical means for applications of monitoring of ingestive behavior

IEEE Transactions on Biomedical Engineering

Volumn 57, Issue 3, 2010, Pages 626-633

  Sazonov, Edward S ^a   Makeyev, Oleksandr ^a   Schuckers, Stephanie ^a   Lopez Meyer, Paulo ^a   Melanson, Edward L ^b   Neuman, Michael R ^c  

^a Clarkson University   (United States)

^b UNIVERSITY OF COLORADO   (United States)

^c Michigan Technological University   (United States)

Author keywords

Biomedical signal processing; Obesity; Pattern recognition; Swallowing; Wearable devices

Indexed keywords

ACOUSTICAL MEANS; AMBIENT NOISE; AUTOMATIC DETECTION; BIOMEDICAL SIGNAL PROCESSING; BODY MASS INDEX; CLASSIFICATION ACCURACY; DATA SETS; EXTERNAL NOISE; FOOD INTAKE; FOURIER SPECTRA; FREQUENCY OF SWALLOWING; HEAD MOVEMENTS; HIGH EFFICIENCY; HUMAN SUBJECTS; INDIVIDUAL MODELS; MOTION ARTIFACT; RECOGNITION ACCURACY; SWALLOWING SOUNDS; WAVELET PACKET; WEARABLE DEVICES;

MEDICAL PROBLEMS; NUTRITION; PATTERN RECOGNITION; SIGNAL PROCESSING; WAVELET DECOMPOSITION;

SIGNAL DETECTION;

ACCURACY; ACOUSTICS; ARTICLE; ARTIFACT; AUTOANALYSIS; BEHAVIOR; BODY MASS; BREATHING; CLASSIFICATION; CLINICAL ARTICLE; DECOMPOSITION; FOOD INTAKE; FOURIER ANALYSIS; HEAD MOVEMENT; HUMAN; INGESTION; INTERMETHOD COMPARISON; LIQUID; METHODOLOGY; MONITORING; MOTION; NOISE; OBESITY; PREDICTION; PRODUCTIVITY; RECOGNITION; RESEARCH; SOLID; SOUND DETECTION; SPEECH; SUPPORT VECTOR MACHINE; SWALLOWING;

ALGORITHMS; BODY MASS INDEX; DEGLUTITION; FOURIER ANALYSIS; HUMANS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SIGNAL PROCESSING, COMPUTER-ASSISTED; SOUND SPECTROGRAPHY;

EID: 77649103359     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2009.2033037     Document Type: Article

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