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Title:
DETERMINING APNEA-HYPOPNIA INDEX AHI FROM SPEECH
Document Type and Number:
WIPO Patent Application WO/2014/115115
Kind Code:
A3
Abstract:
A method of determining a value for an apnea-hypopnea index (AHI) for a person, the method comprising: recording a voice track of a person; extracting features from the voice track that characterize the voice track; and processing the features to determine an AHI.

Inventors:
ZIGEL YANIV (IL)
TARASIUK ARIEL (IL)
ELISHA OREN (IL)
Application Number:
PCT/IB2014/058526
Publication Date:
November 06, 2014
Filing Date:
January 24, 2014
Export Citation:
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Assignee:
BG NEGEV TECHNOLOGIES & APPLIC LTD (IL)
MOR RESEARCH APPLIC LTD (IL)
ZIGEL YANIV (IL)
TARASIUK ARIEL (IL)
ELISHA OREN (IL)
International Classes:
A61B5/00; A61B5/08; A61B5/1455; A61B7/00; G06F19/00
Domestic Patent References:
WO2012025892A22012-03-01
Other References:
ELISHA, O ET AL.: "Automatic Detection of Obstructive Sleep Apnea Using Speech Signal Analysis.", AFEKA-AVIOS SPEECH PROCESSING CONFERENCE., 2012
BOCKLET, T ET AL.: "Age Determination of Children in Preschool and Primary School Age with GMM-based Supervectors and Support Vector Machines/Regression.", LECTURE NOTES IN COMPUTER SCIENCE ., vol. 5246, 2008, pages 2 - 3 , 5, 7
BASAK, D ET AL.: "Support Vector Regression.", NEURAL INFORMATION PROCESSING - LETTERS AND REVIEWS., vol. 1, no. 10, October 2007 (2007-10-01), pages 204 - 205 , 209
DRUCKER, H ET AL., SUPPORT VECTOR REGRESSION MACHINES., 1996
Attorney, Agent or Firm:
A.C. ENTIS-IP-LTD. et al. (Tel Aviv, IL)
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