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RESPIRATORY MOTION SENSING ASSISTED RESPIRATORY PARAMETER ESTIMATION SOLUTION

IP.com Disclosure Number: IPCOM000246249D
Publication Date: 2016-May-19
Document File: 4 page(s) / 299K

Publishing Venue

The IP.com Prior Art Database

Abstract

Real-time monitoring of patient's respiratory parameters, including respiratory compliance/resistance and the inspiratory efforts in patient under mechanical ventilation offers invaluable information for the clinician to tailor ventilation strategy and settings. Several non-invasive respiratory parameter estimation algorithms have been proposed, in which patient inhalation timing parameters are needed and have to be exhaustively searched. This increases the algorithm computation complexity and sometimes degrades the estimation performance. In this disclosure, we proposed to use non-invasive respiratory motion sensing techniques to obtain a coarse estimate of patient inhalation timing parameters and assist non-invasive respiratory parameter estimation algorithms to estimate patient respiratory parameters. Such non-invasive respiratory motion sensing solutions can be camera based, in which a camera (or multiple cameras) is used to measure patient abdomen/chest movement and then extract patient inhalation timing parameters. Other options could be 3D-accelerameter sensor based solution (e.g. patient monitoring Atlas platform), in which a motion sensor (or multiple motion sensors) is attached to patient abdomen/chest to measure patient respiratory patterns. Such respiratory motion sensing equipment can be connected with ventilator device (on which respiratory parameter estimation is performed) via wireless connections.

The invention can be applied to ventilators (both invasive and noninvasive) for real-time patient monitoring and ventilation optimization.

Respiratory monitoring, respiratory parameter estimation, respiratory muscle pressure estimation, diaphragm pressure estimation, work of breathing, non-invasive estimation, respiratory motion sensing

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Page 01 of 4

Date: May 10, 2016

Title of the invention : Respiratory Motion Sensing Assisted Respiratory Parameter Estimation Solution

Abstract of the invention :

detailed description to be provided on next page

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Real-time monitoring of patient's respiratory parameters, including respiratory compliance/resistance and the inspiratory efforts in patient under mechanical ventilation offers invaluable information for the clinician to tailor ventilation strategy and settings. Several non-invasive respiratory parameter estimation algorithms have been proposed, in which patient inhalation timing parameters are needed and have to be exhaustively searched. This increases the algorithm computation complexity and sometimes degrades the estimation performance.

In this disclosure, we proposed to use non-invasive respiratory motion sensing techniques to obtain a coarse estimate of patient inhalation timing parameters and assist non-invasive respiratory parameter estimation algorithms to estimate patient respiratory parameters. Such non-invasive respiratory motion sensing solutions can be camera based, in which a camera (or multiple cameras) is used to measure patient abdomen/chest movement and then extract patient inhalation timing parameters. Other options could be 3D-accelerameter sensor based solution (e.g. patient monitoring Atlas platform), in which a motion sensor (or multiple motion sensors) is attached to patient abdomen/chest to measure patient respiratory patterns. Such respiratory motion sensing equipment can be connected with ventilator device (on which respiratory parameter estimation is performed) via wireless connections.

The invention can be applied to ventilators (both invasive and noninvasive) for real- time patient monitoring and ventilation optimization.

Respiratory monitoring, respiratory parameter estimation, respiratory muscle pressure estimation, diaphragm pressure estimation, work of breathing, non-invasive estimation, respiratory motion sensing


Page 02 of 4

Date: May 10, 2016

Detailed description of the invention

Background of the invention

There is a clear need of estimation of the respiratory system parameters (resistance R and elastance E) and patient inspiratory efforts (respiratory muscle pressure Pmus) in the ICU clinical setting.

Estimating Pmus(t) is especially important in patient-ventilatory support modalities of mechanical ventilation, such as Pressure Support Ventilation (PSV), where patient and ventilator share the mechanical work performed on the respiratory system. Quantitative assessment of Pmus(t) can indeed be used to select the appropriate level of ventilation support delivered by the ventilator in order to prevent both atrophy and fatigue of patient respiratory muscles. The clinical parameter commonly used to assess the effort made by the patient per breath is known as Work of Breathing (WoB) and can be computed...