Design of a new controller to treat the obstructive sleep apnea

Thomas Netzel

doi:10.1117/12.469892

11 June 2002 Design of a new controller to treat the obstructive sleep apnea

Thomas Netzel

Author Affiliations +

Proceedings Volume 4702, Smart Nondestructive Evaluation for Health Monitoring of Structural and Biological Systems; (2002) https://doi.org/10.1117/12.469892
Event: NDE For Health Monitoring and Diagnostics, 2002, San Diego, California, United States

Abstract

The obstructive sleep apnoea (OSA) is a sleep related breathing disorder caused by a relaxation of the upper airway structure during the sleep that leads to a complete closure of the upper airway. The most successful therapy is the nasal continuous positive airway pressure (nCPAP) treatment that keeps the airway opened. More recent devices use an automatic adaptation of the applied pressure. Either the forced oscillation technique (FOT) or the evaluation of the inspiration flow contour are used to evaluate the severity of obstructions. Both methods have disadvantages that may lead to wrong applied pressures. Based on the precise measurement of airflow and mask pressure during nCPAP with a Weinmann SOMNOsmart and additional polysomnography a new parameter set is presented that uses the advantage of both methods to detect the obstructive sleep apnoea. To evaluate the applicability of this parameter set to control Auto-nCPAP-devices a fuzzy-controller is designed under MATLAB/Simulink using an A/D-D/A-converter to control the blower of the SOMNOsmart during Auto-nCPAP-therapy. Obstructive events are detected and treated with a rise of nCPAP-pressure depending on the inspiratory flow requirement. The pressure is lowered after the end of flow limited phases. Although temporary low pressures no oxygen desaturation is recognized by the pulse oxymeter.

Citation Download Citation

Thomas Netzel "Design of a new controller to treat the obstructive sleep apnea", Proc. SPIE 4702, Smart Nondestructive Evaluation for Health Monitoring of Structural and Biological Systems, (11 June 2002); https://doi.org/10.1117/12.469892

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KEYWORDS

Carbon monoxide

Polysomnography

Blood

Control systems

Oxygen

Resistance

Data acquisition

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