Constant positive airway pressure (cPAP) is the predominant noninvasive therapy for the obstructive sleep apnea syndrome (OSAS). The average pressure thereby applied can be reduced by online-identification of respiratory events. Oscillatory impedance measurement as an indicator for airway patency can identify central and obstructive apneas and hypopneas. Our goal was to reduce the sensors needed, to auto-calibrate the signals to each individual patient and to rule out patient induced artifacts.

译文

持续气道正压通气 (cPAP) 是阻塞性睡眠呼吸暂停综合征 (OSAS) 的主要无创疗法。通过在线识别呼吸事件,可以降低由此施加的平均压力。振荡阻抗测量作为气道通畅的指标可以识别中枢和阻塞性呼吸暂停和呼吸不足。我们的目标是减少所需的传感器,自动校准每个患者的信号,并排除患者诱发的伪影。

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