Srinivasan et al., 2024 - Google Patents
In-Depth Sleep Disorder Assessment using REMcraft Navigator IoT and Random Forest AlgorithmsSrinivasan et al., 2024
- Document ID
- 9884769681649328993
- Author
- Srinivasan V
- Sivakumar V
- Vijayan P
- Tharun R
- Thamizhamuthu R
- Publication year
- Publication venue
- 2024 2nd International Conference on Computer, Communication and Control (IC4)
External Links
Snippet
To accurately diagnose and treat sleep problems, which are major challenges to public health, more sophisticated evaluation methods are needed. Using Rapid Eye Movement (REM) craft Navigator's Internet of Things (IoT) capabilities in conjunction with Random …
- 208000019116 sleep disease 0 title abstract description 30
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
- G06F19/345—Medical expert systems, neural networks or other automated diagnosis
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- 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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