Le et al., 2013 - Google Patents

Prediction of sleep apnea episodes from a wireless wearable multisensor suite

Le et al., 2013

Document ID
5078890800126815458
Author
Le T
Cheng C
Sangasoongsong A
Bukkapatnam S
Publication year
Publication venue
2013 IEEE Point-of-Care Healthcare Technologies (PHT)

External Links

Snippet

Obstructive sleep apnea (OSA) is a common sleep disorder found in 24% of adult men and 9% of adult women. Although continuous positive airway pressure (CPAP) has emerged as a standard therapy for OSA, a majority of patients are not tolerant to this treatment due to the …
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Classifications

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    • A61B5/4806Sleep evaluation
    • A61B5/4818Sleep apnoea
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
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    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235Details of waveform analysis
    • A61B5/7264Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
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    • A61B5/04Detecting, measuring or recording bioelectric signals of the body of parts thereof
    • A61B5/0476Electroencephalography
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    • A61B5/4809Sleep detection, i.e. determining whether a subject is asleep or not
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    • A61B5/0402Electrocardiography, i.e. ECG
    • A61B5/0452Detecting specific parameters of the electrocardiograph cycle
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    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
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    • A61B2562/00Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors

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