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Speech-based breath prediction

A voice mode and voice signal technology, which is applied in the direction of respirator, voice analysis, voice recognition, etc., can solve problems such as long exhalation cycle, low effect or efficiency, slow breathing rate, etc.

Pending Publication Date: 2022-07-08
KONINKLJIJKE PHILIPS NV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the ventilation system used to provide respiratory support to the patient may be less effective or efficient in providing such support during speech, for example due to slower breathing rates and / or relatively longer exhalation periods associated with speech
Furthermore, attempts to directly monitor a subject's breathing pattern may involve the use of additional equipment, which may place additional burdens on the subject in terms of setting up and using additional equipment

Method used

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  • Speech-based breath prediction
  • Speech-based breath prediction
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Examples

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Embodiment Construction

[0033] figure 1 A method 100 (eg, a computer-implemented method) for controlling the delivery of gas, such as therapeutic air, to a subject, such as a respiratory patient, is shown. The method 100 may be used to control a ventilation system (an example of which is described below in relation to Figures 2a to 2b described in more detail) the gas supply provided. For example, the method 100 may provide instructions or other instructions to the ventilation system to control the manner in which the ventilation system delivers gas. For example, the timing and / or duration of gas delivery may be controlled based on instructions provided by method 100 or other indications.

[0034] The method 100 includes, at block 102, obtaining an indication of the subject's speech pattern. The subject's speech pattern may be obtained from a sound transducer, such as a microphone, used to detect sound and generate a signal representative of the detected sound. Speech patterns may include charac...

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Abstract

In one embodiment, a method (100) is described. The method includes obtaining (102) an indication of a speech pattern of the subject and using (104) the indication to determine a predicted inspiration time of the subject. A machine learning model is used to predict a relationship between a speech pattern and a breathing pattern of a subject. The machine learning model may then be used to determine a predicted inspiratory time for the subject. The method further includes controlling (106) delivery of gas to the subject based on the predicted inspiration time of the subject.

Description

technical field [0001] The present invention relates to a method, apparatus and tangible machine-readable medium for controlling the delivery of gas to a subject such as a patient. Background technique [0002] Subjects such as respiratory patients may require supportive care for various respiratory diseases, such as chronic obstructive pulmonary disease COPD. Respiratory support for such diseases can be provided by ventilation systems that deliver gas, such as therapeutic air, to the subject. The ventilation system can deliver therapeutic air to the subject having a specific oxygen level and / or pressure selected for the subject's individual therapeutic needs. This therapeutic air can be administered using an interface such as a nasal cannula or mouth and / or nasal mask. In some cases, the delivery of therapeutic air may be driven by sensing the subject's spontaneous breathing attempts. [0003] Both speech and breathing require the lungs, and in patients with respiratory ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H20/40
CPCG16H20/40G16H50/50A61M16/0003A61M16/026A61M2016/0021A61M2205/50A61M2230/42G10L15/063G10L15/16
Inventor A·S·哈玛F·维卡里奥V·S·纳兰西格尔
Owner KONINKLJIJKE PHILIPS NV
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