Improving actigraph sleep/wake classification with cardio-respiratory signals

Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"

Volumn , Issue , 2008, Pages 5262-5265

  Karlen, Walter ^a   Mattiussi, Claudio ^a   Floreano, Dario ^a  

^a EPFL   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

FEEDFORWARD NEURAL NETWORKS; PATIENT MONITORING; WEARABLE TECHNOLOGY;

DAILY ACTIVITY; FAST FOURIER TRANSFORMATIONS; FEED-FORWARD ARTIFICIAL NEURAL NETWORKS; HOME MONITORING; RECORDING SYSTEMS; RESPIRATORY EFFORTS; RESPIRATORY SIGNALS; WEARABLE DEVICES;

BIOMEDICAL SIGNAL PROCESSING;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; ELECTROCARDIOGRAPHY; EQUIPMENT DESIGN; EQUIPMENT FAILURE; HUMAN; METHODOLOGY; MOTOR ACTIVITY; PHYSIOLOGY; POLYSOMNOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; SPIROMETRY; WAKEFULNESS;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; ELECTROCARDIOGRAPHY; EQUIPMENT DESIGN; EQUIPMENT FAILURE ANALYSIS; HUMANS; MOTOR ACTIVITY; PATTERN RECOGNITION, AUTOMATED; POLYSOMNOGRAPHY; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; SPIROMETRY; WAKEFULNESS;

EID: 61849090851     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/iembs.2008.4650401     Document Type: Conference Paper

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