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Zhao et al., 2017 - Google Patents

SFST: A robust framework for heart rate monitoring from photoplethysmography signals during physical activities

Zhao et al., 2017

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Document ID
13032483707747538646
Author
Zhao D
Sun Y
Wan S
Wang F
Publication year
Publication venue
Biomedical Signal Processing and Control

External Links

Snippet

As a non-invasive approach to monitor heart rate (HR), the photoplethysmography (PPG) signal provides a simple and accurate measurement in silence. However, difficulties are found when dealing with signals monitored during physical activities, because complex …
Continue reading at pure-oai.bham.ac.uk (PDF) (other versions)

Classifications

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    • A61B5/7235Details of waveform analysis
    • A61B5/7253Details of waveform analysis characterised by using transforms
    • A61B5/726Details of waveform analysis characterised by using transforms using Wavelet transforms
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    • A61B5/7257Details of waveform analysis characterised by using transforms using Fourier transforms
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    • A61B5/145Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
    • A61B5/1455Measuring 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
    • A61B5/14551Measuring 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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