Luke et al., 2018 - Google Patents
Motion artifact removal and feature extraction from PPG signals using efficient signal processing algorithmsLuke et al., 2018
View DOC- Document ID
- 16740782569339173443
- Author
- Luke A
- Shaji S
- Menon K
- Publication year
- Publication venue
- 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI)
External Links
Snippet
The performance of wearable Photoplethysmographic Biosensors can be highly influenced by the motion artifacts. This work proposes a performance enhancement algorithm which can remove the effect of motion artifacts caused by the voluntary movements during various …
- 238000000605 extraction 0 title abstract description 6
Classifications
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- 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
- A61B5/7253—Details of waveform analysis characterised by using transforms
- A61B5/726—Details of waveform analysis characterised by using transforms using Wavelet transforms
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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
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