Gaiduk et al., 2020 - Google Patents
Embedded system for non-obtrusive sleep apnea detectionGaiduk et al., 2020
- Document ID
- 5102433951819965664
- Author
- Gaiduk M
- Orcioni S
- Conti M
- Seepold R
- Penzel T
- Madrid N
- Ortega J
- Publication year
- Publication venue
- 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
External Links
Snippet
This document presents a new complete standalone system for a recognition of sleep apnea using signals from the pressure sensors placed under the mattress. The developed hardware part of the system is tuned to filter and to amplify the signal. Its software part …
- 208000000927 Sleep Apnea Syndrome 0 title abstract description 8
Classifications
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- A61B5/48—Other medical applications
- A61B5/4806—Sleep evaluation
- A61B5/4818—Sleep apnoea
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- A—HUMAN NECESSITIES
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- A61B5/7235—Details of waveform analysis
- A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
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- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6813—Specially adapted to be attached to a specific body part
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- A61B5/1455—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue using optical sensors, e.g. spectral photometrical oximeters
- A61B5/14551—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue using optical sensors, e.g. spectral photometrical oximeters for measuring blood gases
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