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Can et al., 2020 - Google Patents

Personal stress-level clustering and decision-level smoothing to enhance the performance of ambulatory stress detection with smartwatches

Can et al., 2020

View PDF
Document ID
7463288539359589808
Author
Can Y
Chalabianloo N
Ekiz D
Fernandez-Alvarez J
Riva G
Ersoy C
Publication year
Publication venue
IEEE Access

External Links

Snippet

Researchers strive hard to develop effective ways to detect and cope with enduring high- level daily stress as early as possible to prevent serious health consequences. Although research has traditionally been conducted in laboratory settings, a set of new studies have …
Continue reading at ieeexplore.ieee.org (PDF) (other versions)

Classifications

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    • A61B5/04—Detecting, measuring or recording bioelectric signals of the body of parts thereof
    • A61B5/0476—Electroencephalography
    • 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
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    • 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
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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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    • G—PHYSICS
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