njit-etd2003-081 - New Jersey Institute of Technology

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13 spectral analysis, system identification, principal component and cluster analyses on HRV, BPV of normal and COPD subjects. Chapter 5 presents the results and discussion of the study. First, the spectral analysis results as a method for describing periodic processes are presented. Second, the results of the time-frequency analysis for Cohen's class distributions and wavelet distributions applied to sine waves, HRV and BPV of both normal and COPD subjects are discussed. Third, the criteria are determined and the selection of the best wavelet is performed. Fourth, the activity plots of both normal and COPD subjects that represented the vagal tone and sympathovagal balance are also presented and discussed. Fifth, the cross-spectral analysis of the weighted coherence and partial coherence of the HRV of normal and COPD are presented. Sixth, the open loop and closed loop cardiovascular models for normal and COPD are discussed. Seventh, the principal components of the normal and COPD HRV study are found. Finally, the results of the normal, COPD blind separation and. COPD severity classification are shown and discussed. Chapter 6 concludes the work and suggests topics for future study. Hopefully, these topics, in addition to this research work, will motivate the prospective researcher to explore further unresolved issues in the field of heart rate variability, biological modeling and disease severity classification in the direction of signal processing application to signal analysis using time-frequency representation techniques such as wavelet distributions, adaptive signal decomposition or reconstruction and beyond.
CHAPTER 2 PHYSIOLOGY BACKGROUND Biomedical engineering is the application of the principles of engineering, science, and mathematics to biology and medicine. In this dissertation the electrical signals or waveforms are examined because they can yield information of clinical significance about the biological systems. Therefore, in order to conduct biomedical research, the relevant physiological systems must be understood. The purpose of this section is to provide a general, but concise, background to the physiological systems that are relevant to the work in this research. 2.1 Cardiovascular Systems and The Heart The cardiovascular system or simply, the circulatory system [5] consists of the heart, which is a muscular pumping device, and a closed system of blood vessels called arteries, veins, and capillaries. Blood contained in the circulatory system is pumped by the heart around a closed circle or circuit of vessels as it repeatedly passes through the various "circulations" of the body. The vital role of the cardiovascular system in maintaining homeostasis is dependent upon the continuous and controlled movement of blood to reach every cell in the body. Regulation of blood pressure and flow must change in response to cellular activity. Consequently, numerous control mechanisms help to regulate and integrate the diverse functions and component parts of the cardiovascular system to supply blood to specific body areas according to need. 14
Page 1 and 2: Copyright Warning & Restrictions Th
Page 3 and 4: ABSTRACT TIME-FREQUENCY INVESTIGATI
Page 5 and 6: TIME-FREQUENCY INVESTIGATION OF HEA
Page 7 and 8: APPROVAL PAGE TIME-FREQUENCY INVEST
Page 9 and 10: BIOGRAPHICAL SKETCH (Continued) D.A
Page 11 and 12: ACKNOWLEDGMENT The author wishes to
Page 13 and 14: TABLE OF CONTENTS Chapter Page 1 IN
Page 15 and 16: TABLE OF CONTENTS (Continued) Chapt
Page 21 and 22: LIST OF FIGURES Figure Page 2.1 The
Page 23 and 24: LIST OF FIGURES (Continued) Figure
Page 25 and 26: LIST OF FIGURES (Continued) Figure
Page 27 and 28: ABBREVIATIONS A ABP Arterial Blood
Page 29 and 30: ABBREVIATIONS (Continued) P PID Pro
Page 31 and 32: 2 mortality and sudden death. [2] B
Page 33 and 34: 4 1) Patients with severe pulmonary
Page 35 and 36: 6 examined for determining the inte
Page 37 and 38: 8 identified using principal compon
Page 39 and 40: 1 0 1. Present the application of t
Page 41: 12 1.3 Outline of the Dissertation
Page 45 and 46: 16 Figure 2.2 The systemic and pulm
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Page 49 and 50: 20 2.2 Blood Pressure The force tha
Page 51 and 52: 22 2.4 The Nervous System Human beh
Page 53 and 54: 24 The sympathetic nerve fibers lea
Page 55 and 56: 26 Without these sympathetic and pa
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Page 59 and 60: 30 Figure 2.6 Autonomic innervation
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Page 63 and 64: 34 However, they do note that there
Page 65 and 66: Figure 2.9 The placement of the pos
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Page 71 and 72: CHAPTER 3 ENGINEERING BACKGROUND Th
Page 73 and 74: 44 Two common types of time-frequen
Page 75 and 76: 46 STFT: Short-Time Fourier Transfo
Page 77 and 78: 48 3.3 The Analytic Signal and Inst
Page 79 and 80: 50 The advantage of using equation
Page 81 and 82: 52 3.5 Covariance and Invariance Th
Page 83 and 84: where H(f), S(f) are Fourier transf
Page 85 and 86: 56 Another shortcoming of the spect
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Page 91 and 92: 62 3.6.3 The Choi-Williams (Exponen
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64 Figure 3.3 Performance of the Ch
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66 [-Ω,Ω ], then its STFT will be
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68 This condition forces that the w
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70 where c is a constant. Thus, the
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Figure 3.5 The time-frequency plane
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74 The measure dadb used in the tra
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76 and the wavelet transform repres
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78 Figure 3.6 Figure depicting the
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80 The final step to obtain the pow
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82 It should be noted that if the w
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84 The normal respiration rate can
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Figure 3.12 Power spectrum of BP II
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RR similar manner to give: When com
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90 when there is significant correl
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92 3.12 Partial Coherence Analysis
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94 after removal of the effects of
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96 The bulk of the theory and appli
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98 technique is measurement time. T
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100 usually attainable. The key poi
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102 variability exists in the propa
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104 eXogenous input (ARX) was used
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106 The baroreflex, an autonomic re
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108 the principal components are no
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110 The mathematical solution for t
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112 3.15 Cluster Analysis The term
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114 formed) one can read off the cr
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116 3.15.5 Squared Euclidian Distan
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118 Alternatively, one may use the
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120 Sneath and Sokal used the abbre
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122 may seem a bit confusing at fir
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CHAPTER 4 METHODS The purpose of th
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126 4.1.2.1 Autonomic Testing. HR V
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128 of heart rate, blood pressure,
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130 The patients who underwent LVRS
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132 panel of the Correct.vi. It was
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134 4.2.3 Power Spectrum Analysis o
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136 weighted-average value of the c
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138 For each given scale a within t
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140 frequency F to the wavelet func
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142 4.2.8 System Identification Ana
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144 In this study a simpler approac
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146 Table 4.2 Parameters That Make
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148 4.2.11 Cluster Analysis The sam
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150 viewing the time series of sequ
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Figure 5.2 BPV analysis of a COPD s
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Figure 5.3 HRV analysis of a normal
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Figure 5.4.1 Comparison of the HRV
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158 5.2 Time Frequency Analysis One
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Figure 5.5 Test signal with 3 sine
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162 Figure 5.6 (c) CWD of a signal
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164 Figure 5.7 (c) WT (dB4 wavelet)
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166 HRV more information about HRV
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168 Figure 5.9 (c) CWD plots of a n
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Figure 5.10 CWT (Morlet) HRV plot o
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172 The following figures show the
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174 Figure 5.15 CWT (Mexican Hat) H
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176 5.2.5 Best Wavelet Selection fo
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178 Table 5.1 Correlation Indices o
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180 5.2.6 Vagal Tone and Sympathova
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182 These figures basically show th
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184 Figure 5.20 Sympathetic and par
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188 5.2.7 Time-Frequency Analysis (
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190 Figure 5.29 3D and contour plot
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192 Figure 5.33 3D and contour plot
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Figure 5.44 Plot of raw respiration
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Figure 5.46 The LF partial coherenc
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Figure 5.48 HF partial coherence pl
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Table 5.2 Cross-Spectral Analysis o
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Table 5.3 Cross-Spectral Analysis o
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Figure 5.50 HF coherence of COPD (1
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212 For better presentation of the
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Figure 5.53 Coherence and partial c
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216 2. Interpretation of the transf
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218 covariances of the parameters,
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220 deviations are interpreted as A
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222 Figure 5.58 Bode plot of the HR
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224 In this section a simple model
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226 The data for all 47 COPD subjec
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228 Figure 5.60 Normal and COPD cla
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230 Figure 5.61 Normal and COPD cla
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232 Figure 5.62 Normal classificati
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234 5.7 Cluster Analysis The purpos
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236 Figure 5.64 Severity classifica
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238 both the normal and COPD subjec
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240 In summary, COPD subjects had h
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APPENDIX A EXERCISE PHYSIOLOGY A.1
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244 A.3 Figure Out Your Target Hear
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APPENDIX B ANALYSIS PROGRAM LISTING
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248 4) Click on file, close to exit
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250 • TN 11
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252 B.1.2 Partial Coherence Between
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254
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256 Block Diagram !rime of record K
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258
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260 B.2.2 Time — Frequency Analys
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262 This program provides the STFT
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264 G(:j+1)=G(:,j+1)/(2*sum(G(:j+1)
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266 T=(length(Signa)/sample)/(Times
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268 subplot(3, 1,3), plot(T,E); xla
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270 4. The program creates five out
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272 B.2.3.4 Program to Generate Sym
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274 ylabel('frequency'); title('Ins
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276 The program will run and output
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278 axis([0 1 0 2]); grid on; xlabe
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280 vagal=sum(TFDs(HFC,1:k)); symto
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282 plot(J,symtopar); %plot(A,symto
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284 4. Remove the constant levels a
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286 Make sure the agreement is quit
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288 B.2.6 Principal Components Anal
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290 Columns 12 through 15 'LF_pcoh_
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292 I= 1.0000 -0.0000 -0.0000 -0.00
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294 variances = 3.4083 1.2140 1.141
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296 B.2.7 Cluster Analysis Program
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298 end [R,C]=size(Data); if length
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300 B.2.8 Cross-correlation Program
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302 C.3 Partial coherence of HR and
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304 [13] Madwed, J., and R. Cohen.
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306 [41] Mallat, S. G., "A Theory f
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[70] Tazebay, M.V., R.T. Saliba and
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