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Identification of sleep stages from heart rate variability using a soft-decision wavelet-based technique
A. Hossen
*
, H. Özer, U. Heute
*
Corresponding author for this work
Research output
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Contribution to journal
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Article
›
peer-review
3
Citations (Scopus)
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Dive into the research topics of 'Identification of sleep stages from heart rate variability using a soft-decision wavelet-based technique'. Together they form a unique fingerprint.
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Mathematics
Heart Rate Variability
95%
Sleep
88%
Wavelets
53%
Power Spectral Density
39%
Low Frequency
35%
Wake
13%
Eye Movements
8%
Electrocardiogram
7%
Training
5%
Monitoring
5%
Business & Economics
Heart Rate Variability
100%
Wavelets
93%
Sleep
61%
Spectral Density
45%
Psychiatry
7%
Psychotherapy
6%
Eye Movements
5%
Factors
5%
Engineering & Materials Science
Sleep
64%
Power spectral density
34%
Frequency bands
17%
Psychiatry
7%
Eye movements
5%