B.G. NEGEV TECHNOLOGIES AND APPLICATIONS LTD., AT BEN-GURION UNIVERSITY;MOR RESEARCH APPLICATIONS LTD.
发明人:
Eliran DAFNA,Yaniv ZIGEL,Dvir BEN OR,Matan HALEVI,Ariel TARASIUK
申请号：
US16316454
公开号：
US20200093423A1
申请日:
2017.07.11
申请国别(地区):
US
年份:
2020
代理人:
摘要：
The present invention relates to a system and method for determining sleep quality parameters according to audio analyses, comprising: obtaining an audio recorded signal comprising sleep sounds of a subject； segmenting the signal into epochs； generating a feature vector for each epoch, wherein each of said feature vectors comprises one or more feature parameters that are associated with a particular characteristic of the signal and that are calculated according to the epoch signal or according to a signal generated from the epoch signal； inputting the generated feature vectors into a machine learning classifier and applying a preformed classifying model on the feature vectors that outputs a probabilities vector for each epoch, wherein each of the probabilities vectors comprises the probabilities of the epoch being each of the sleep quality parameters； inputting the probabilities vectors for each epoch into a machine learning time series model and applying a preformed sleep quality time series pattern function on said probabilities vectors that outputs an enhanced probabilities vector for each epoch； determining a final sleep quality parameter for each epoch by calculating the most probable sleep quality parameters sequence.
