Method and System for Identifying Respiratory Events

Patent №

US 11,089,995

Granted

2021-08-17

Filed 2018

Owner

CLEBRE SPÓLKA Z O.O.

Lab

AI components

2

ml · speech

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16092585

The present disclosure relates to a method and a system for examining respiratory disorders whereby signals coming from the examined person are recorded by a wireless sensor equipped with a microphone and an accelerometer and then sent to a monitoring station. The monitoring station receives a digital data stream from the wireless sensor, cuts out respiratory episodes from the signal and, using a classification assembly constructed from three independent detection modules, classifies a respiratory episode as being normal or as snoring as well as determines the occurrence of apnoea.

Machine learningSpeechA61B 5/4818A61B 5/0004A61B 5/0823A61B 5/0826A61B 5/113A61B 5/14551A61B 5/7264A61B 5/7282+4 more

AI classification

Speech1.00
Machine learning0.96
AI hardware0.12
Natural language0.01
Knowledge representation0.00
Evolutionary computation0.00
Vision0.00
Planning0.00

Ownership

CLEBRE SPÓLKA Z O.O.

assignment · 471250843

Assignors

MLYNCZAK, MARCEL, MIGACZ, MACIEJ, KUKWA, WOJCIECH

On an employer assignment, the assignors are typically the inventors.

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