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Perez-Macias et al., 2017 - Google Patents

Detection of snores using source separation on an Emfit signal

Perez-Macias et al., 2017

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Document ID
4538304829001710523
Author
Perez-Macias J
Tenhunen M
Värri A
Himanen S
Viik J
Publication year
Publication venue
IEEE journal of biomedical and health informatics

External Links

Snippet

Snoring (SN) is an early sign of upper airway dysfunction, and it is strongly associated with obstructive sleep apnea. SN detection is important to monitor SN objectively and to improve the diagnostic sensitivity of sleep-disordered breathing. In this study, an automatic snore …
Continue reading atwww.academia.edu (PDF) (other versions)

Classifications

The classifications are assigned by a computer and are not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the classifications listed.
    • AHUMAN NECESSITIES
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    • A61B5/48Other medical applications
    • A61B5/4806Sleep evaluation
    • A61B5/4818Sleep apnoea
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
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    • A61B5/7235Details of waveform analysis
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    • 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
    • AHUMAN NECESSITIES
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    • A61B5/0452Detecting specific parameters of the electrocardiograph cycle
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    • AHUMAN NECESSITIES
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    • A61B5/02Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
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