System and method for assessing treatment effects on obstructive sleep apnea
First Claim
1. A method of assessing treatment effects on obstructive sleep apnea, the method comprising:
- (a) measuring each of an electrocardiogram and respiratory rhythm of a patient using a bio-signal measurement unit comprised of an electrocardiogram measurement unit measuring the electrocardiogram and a respiratory rhythm measurement unit which is different from the electrocardiogram measurement unit and measures the respiratory rhythm;
(b) obtaining, with a combined index calculation unit comprised of a heart rate variability entropy calculation unit, a respiratory rhythm entropy calculation unit, and a cross-sample entropy calculation unit, a combined cardiac and respiratory index by combining heart rate variability and respiratory rhythm signals, measured at the step (a), the obtaining comprises;
(b-1) calculating heart rate variability sample entropy (SampEnRR) using the heart rate variability entropy calculation unit, and calculating respiratory rhythm sample entropy (SampEnrep) using the respiratory rhythm entropy calculation unit; and
(b-2) obtaining the combined cardiac and respiratory index (Cross-SampEn) by combining the heart rate variability sample entropy with the respiratory rhythm sample entropy using the cross-sample entropy calculation unit;
(c) assessing, with a treatment response assessment unit, a response of the patient to treatment of obstructive sleep apnea by using the combined cardiac and respiratory index,wherein an abnormality in central autonomic regulation is quantified and a response of a patient to continuous positive airway pressure (CPAP) is quantified based on the combined cardiac and respiratory index,wherein the step (c) comprises;
assessing the treatment effects on obstructive sleep apnea based on a change in the combined cardiac and respiratory index or a difference of the combined cardiac and respiratory index from that of a normal control; and
determining that the coordination between heart rate and respiratory rhythm is low if a value of the combined cardiac and respiratory index is higher than an upper limit of a normal range, and determining that the coordination between heart rate and respiratory rhythm is high if the value of the combined cardiac and respiratory index is lower than a lower limit of the normal range,wherein the heart rate variability sample entropy and the respiratory rhythm sample entropy at the step (b) are calculated using density correlation functions Ci,m(r) Ci,(m+1)(r);
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Abstract
A system and method for assessing treatment effects on obstructive sleep apnea are provided. The apparatus includes a bio-signal measurement unit, a combined index calculation unit, and a treatment response assessment unit. The bio-signal measurement unit measures each of the electrocardiogram and respiratory rhythm of a patient. The combined index calculation unit calculates a combined cardiac and respiratory index by combining the heart rate variability and respiratory rhythm signals measured by the bio-signal measurement unit. The treatment response assessment unit assesses a response of the patient to the treatment of obstructive sleep apnea.
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Citations
7 Claims
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1. A method of assessing treatment effects on obstructive sleep apnea, the method comprising:
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(a) measuring each of an electrocardiogram and respiratory rhythm of a patient using a bio-signal measurement unit comprised of an electrocardiogram measurement unit measuring the electrocardiogram and a respiratory rhythm measurement unit which is different from the electrocardiogram measurement unit and measures the respiratory rhythm; (b) obtaining, with a combined index calculation unit comprised of a heart rate variability entropy calculation unit, a respiratory rhythm entropy calculation unit, and a cross-sample entropy calculation unit, a combined cardiac and respiratory index by combining heart rate variability and respiratory rhythm signals, measured at the step (a), the obtaining comprises; (b-1) calculating heart rate variability sample entropy (SampEnRR) using the heart rate variability entropy calculation unit, and calculating respiratory rhythm sample entropy (SampEnrep) using the respiratory rhythm entropy calculation unit; and (b-2) obtaining the combined cardiac and respiratory index (Cross-SampEn) by combining the heart rate variability sample entropy with the respiratory rhythm sample entropy using the cross-sample entropy calculation unit; (c) assessing, with a treatment response assessment unit, a response of the patient to treatment of obstructive sleep apnea by using the combined cardiac and respiratory index, wherein an abnormality in central autonomic regulation is quantified and a response of a patient to continuous positive airway pressure (CPAP) is quantified based on the combined cardiac and respiratory index, wherein the step (c) comprises; assessing the treatment effects on obstructive sleep apnea based on a change in the combined cardiac and respiratory index or a difference of the combined cardiac and respiratory index from that of a normal control; and determining that the coordination between heart rate and respiratory rhythm is low if a value of the combined cardiac and respiratory index is higher than an upper limit of a normal range, and determining that the coordination between heart rate and respiratory rhythm is high if the value of the combined cardiac and respiratory index is lower than a lower limit of the normal range, wherein the heart rate variability sample entropy and the respiratory rhythm sample entropy at the step (b) are calculated using density correlation functions Ci,m(r) Ci,(m+1)(r); - View Dependent Claims (2, 3, 4, 5, 6)
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7. A method of assessing treatment effects on obstructive sleep apnea, the method comprising:
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(a) measuring an electrocardiogram of a patient by using an electrocardiogram measurement unit worn on a wrist of the patient and measuring respiratory rhythm of the patient by using a respiratory rhythm measurement unit which is worn on a chest of the patient, wherein an electrocardiogram measurement unit and the respiratory rhythm measurement unit area each in a portable form; (b) obtaining, with a combined index calculation unit comprised of a heart rate variability entropy calculation unit, a respiratory rhythm entropy calculation unit, and a cross-sample entropy calculation unit, a combined cardiac and respiratory index by combining heart rate variability and respiratory rhythm signals, measured at the step (a), the obtaining comprises; (b-1) calculating heart rate variability sample entropy (SampEnRR) using the heart rate variability entropy calculation unit, and calculating respiratory rhythm sample entropy (SampEnrep) using the respiratory rhythm entropy calculation unit; and (b-2) obtaining the combined cardiac and respiratory index (Cross-SampEn) by combining the heart rate variability sample entropy with the respiratory rhythm sample entropy using the cross-sample entropy calculation unit; (c) assessing, with a treatment response assessment unit, a response of the patient to treatment of obstructive sleep apnea by using the combined cardiac and respiratory index, wherein an abnormality in central autonomic regulation is quantified and a response of a patient to continuous positive airway pressure (CPAP) is quantified based on the combined cardiac and respiratory index, wherein the step (c) comprises; assessing the treatment effects on obstructive sleep apnea based on a change in the combined cardiac and respiratory index or a difference of the combined cardiac and respiratory index from that of a normal control; and determining that the coordination between heart rate and respiratory rhythm is low if a value of the combined cardiac and respiratory index is higher than an upper limit of a normal range, and determining that the coordination between heart rate and respiratory rhythm is high if the value of the combined cardiac and respiratory index is lower than a lower limit of the normal range, wherein the heart rate variability sample entropy and the respiratory rhythm sample entropy at the step (b) are calculated using density correlation functions Ci,m(r) and Ci,(m+1)(r);
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Specification