A new index, the Cross-Power Index (CPI), is proposed to quantify the severity of obstructive sleep apnea syndrome (OSAS) in terms of its cardiovascular effects. On the basis of the influences that recurring drops in oxygen saturation have on systolic blood pressure variability of OSAS patients, CPI is defined as the integral of the cross-spectrum modulus between systolic blood pressure and oxygen saturation. In a test group of 22 subjects CPI correctly identified all the 15 OSAS patients included in the pool. Moreover, evaluation of CPI in 6 OSAS patients sleeping without and with a CPAP device demonstrated that CPAP treatment substantially reduced the components of blood pressure variability correlated to oxygen saturation. These first applications of CPI support the use of this index to identify OSAS patients, to evaluate the efficacy of CPAP in their treatment, and to quantify the cardiovascular effect of OSAS.

Castiglioni, P., Bonsignore, M., Insalaco, G., Parati, G., Di Rienzo, M. (2001). Signal processing procedures for the evaluation of the cardiovascular effects in the obstructive sleep apnea syndrome. COMPUTERS IN CARDIOLOGY, 28, 221-224 [10.1109/CIC.2001.977631].

Signal processing procedures for the evaluation of the cardiovascular effects in the obstructive sleep apnea syndrome

BONSIGNORE, Maria Rosaria;
2001-01-01

Abstract

A new index, the Cross-Power Index (CPI), is proposed to quantify the severity of obstructive sleep apnea syndrome (OSAS) in terms of its cardiovascular effects. On the basis of the influences that recurring drops in oxygen saturation have on systolic blood pressure variability of OSAS patients, CPI is defined as the integral of the cross-spectrum modulus between systolic blood pressure and oxygen saturation. In a test group of 22 subjects CPI correctly identified all the 15 OSAS patients included in the pool. Moreover, evaluation of CPI in 6 OSAS patients sleeping without and with a CPAP device demonstrated that CPAP treatment substantially reduced the components of blood pressure variability correlated to oxygen saturation. These first applications of CPI support the use of this index to identify OSAS patients, to evaluate the efficacy of CPAP in their treatment, and to quantify the cardiovascular effect of OSAS.
2001
Settore MED/10 - Malattie Dell'Apparato Respiratorio
Castiglioni, P., Bonsignore, M., Insalaco, G., Parati, G., Di Rienzo, M. (2001). Signal processing procedures for the evaluation of the cardiovascular effects in the obstructive sleep apnea syndrome. COMPUTERS IN CARDIOLOGY, 28, 221-224 [10.1109/CIC.2001.977631].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/215721
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