B.G. NEGEV TECHNOLOGIES AND APPLICATIONS LTD., AT BEN-GURION UNIVERSITY;MOR RESEARCH APPLICATIONS LTD.
发明人:
Yaniv ZIGEL,Dvir BEN OR,Ariel TARASIUK,Eliran DAFNA
申请号：
US16316395
公开号：
US20190298271A1
申请日:
2017.07.10
申请国别(地区):
US
年份:
2019
代理人:
摘要：
Provided herein is a method and system for the estimation of apnea-hypopnea index (AHI), as an indicator for Obstructive sleep apnea (OSA) severity, by combining speech descriptors from three separate and distinct speech signal domains. These domains include the acoustic short-term features (STF) of continuous speech, the long-term features (LTF) of continuous speech, and features of sustained vowels (SVF). Combining these speech descriptors may provide the ability to estimate the severity of OSA using statistical learning and speech analysis approaches.
