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Sleep and Happiness
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- 11. 11 80% 20% ADULTS Non-OSA 5< AHI <15 75% 25% MIDDLE-AGED MEN Non-OSA OSA
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- 18. 18 R Input Output 𝑅 = 𝜌𝐿 𝐴 maintain the power of high frequencies Stiffness 𝑷𝒐𝒘𝒆𝒓 ∝ 𝑭𝒓𝒆𝒒𝒖𝒆𝒏𝒄𝒚 𝟐 ∗ 𝑨𝒎𝒑𝒍𝒊𝒕𝒖𝒅𝒆 𝟐 ∗ 𝑺𝒕𝒊𝒇𝒇𝒏𝒆𝒔𝒔 Low High ƒ Severe-OSA
- 19. 19 Shift down in formant frequencies ƒ 𝒓 = 𝝑 𝟐𝝅 𝑨 𝑽 𝒐 𝑳 𝒆𝒒 Spontaneous oscillations
- 20. Page | 20 From Helmholtz resonance equation, we got that First formant frequency is shifted down as AHI increases As AHI is increased, the airway get narrower So increasing variability as AHI increases Forcing air to flow through a deformable tube, will generate spontaneous oscillations.
- 21. 21 Mild & Severe subjects Mild & Moderate subjects Moderate & Severe subjects 2 features 3 features2 features F(1,81) = 30.58, P = 3.81*10-7
- 22. 22 Feature 1 is the ratio between mean of the inspiration and expiration phases’ summation at 130-250 Hz over 1200-1300 Hz during breathing from mouth. Feature 2 is the skewness in frequency within 120-400 Hz. Expiration phase from nose Feature 3 is the slope within 210-370 Hz. Inspiration phase from mouth Feature 4 is the mean of the subtraction of signals come out from mouth and nose during inspiration phase within 1100-1350 Hz. Feature 5 is the slope within 210-400 Hz. Inspiration phase from mouth Feature 6 is the skewness in frequency within 120-400 Hz. Inspiration phase from mouth
- 23. 23 6 features’ values /subject Classifier 3 using features 4, 5, & 6 Classifier 2 using features 1 & 3 Classifier 1 using features 1 & 2 votingmild-OSA or moderate-OSA moderate-OSA or severe-OSA mild-OSA or severe-OSA Decision Mild, Moderate, and Severe OSA groups Mild and High OSA groups AHI>10 Majority voting Mild Mild X Mild Else High
- 24. 24 Assigned Class Total True Class AHI < 5 10 ≤ AHI ≤ 25 AHI ≥ 30 AHI < 5 47 6 3 56 10 ≤ AHI ≤ 25 4 20 3 27 AHI ≥ 30 1 5 16 22 Assigned Class Total True Class AHI < 5 AHI ≥ 10 AHI < 5 47 9 56 AHI ≥ 10 5 43 49 Sensitivity = 87.8% Specificity = 84% Data set Classifier 1 Mild & Severe Classifier 2 Mild & Moderate Classifier 3 Moderate & Severe Sensitivity 95.5% 85.2% 88.9% Specificity 82.1% 84% 77.3% Classifying training data (105 subjects) Total classification accuracy79.1% 85.7%
- 25. 25 Classifying 30 new subjects Total classification accuracy66.7% 83.78% Classifying 37 new subjectsData set Classifier 1 Mild & Severe Classifier 2 Mild & Moderate Classifier 3 Moderate & Severe Sensitivity 90% 80% 70% Specificity 90% 90% 70% Assigned Class Total True Class AHI < 5 10 ≤ AHI ≤ 25 AHI ≥ 30 AHI < 5 8 1 1 10 10 ≤ AHI ≤ 25 2 5 3 10 AHI ≥ 30 0 3 7 10 Assigned Class Total True Class AHI < 5 AHI ≥ 10 AHI < 5 8 2 10 AHI ≥ 10 4 23 27 Sensitivity = 85.2% Specificity = 80%
- 26. 26 Comfort sleep 2/3 of our life Alternatives Breathing sound Help in
- 27. 27 Quick Medication Decreasing expenses Decrease waiting Saving $11.1 billion & 980 lives annually Developing new assessment tool
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Editor's Notes
- From Passive electrical resistance analogy, Power is higher at wider airway cavity systems Power is maintained at high frequencies in high compliance systems From Hook’s law, Power is higher at high frequencies in high stiffness systems
- Need to put meaning of skewness in frequency
- Decreasing car accidents