Weitere Kapitel dieses Buchs durch Wischen aufrufen
Both wrist pulse and electrocardiogram (ECG) signals are mainly caused by cardiac activities and are valuable in analyzing heart rhythms and cardiac diseases. For noninvasive monitoring, recent studies indicate that ECG and wrist pulse signal can be adopted for the diagnosis of several non-cardiac diseases and reflect the movement of blood and the change of vessel diameter. To reveal the complementarities between pulse signal and ECG, a comparative study of these two signals is conducted for the diagnosis of non-cardiac diseases. The two types of signals are compared based on two classes of indicators: information complexity and classification performance. The results show that wrist pulse blood flow signal is more informative by complexity measure and can achieve higher classification accuracy. Some examples of non-cardiac diseases, e.g., diabetes, liver, and gallbladder diseases, are given to illustrate the strengths of wrist pulse signal.
Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten
Sie möchten Zugang zu diesem Inhalt erhalten? Dann informieren Sie sich jetzt über unsere Produkte:
Braunwald E, “Heart Disease: A Textbook of Cardiovascular Medicine,” 5th ed. Philadelphia, PA: Saunders, 1997.
Meo M, Zarzoso V, Meste O, Latcu DG and Saoudi N. “Spatial variability of the 12-lead surface ECG as a tool for noninvasive prediction of Catheter ablation outcome in persistent atrial fibrillation,” IEEE Trans Biomed Eng, 60: 20–27, 2013. CrossRef
Liu X, Zheng Y, Phyu MW, Zhao B, Je M and Yuan X. “Multiple functional ECG signal is processing for wearable applications of long-term cardiac monitoring,” IEEE Trans Biomed Eng, 58: 380–389, 2011. CrossRef
Liu X, Zheng Y, Phyu MW, Zhao B, Je M and Yuan X. “A miniature on-chip multi-functional ECG signal processor with 30 μW ultra-low power consumption,” IEEE Engineering in Medicine and Biology Society (EMBC), 2577–2580, 2010.
Lee CT and Wei LY. “Spectrum analysis of human pulse,” IEEE Trans. Biomed Eng, BME-30: 348–352, 1983. CrossRef
Wei LY and Chow P. “Frequency distribution of human pulse spectra,” IEEE Trans. Biomedical Engineering, BME-32: 245–246, 1985. CrossRef
Xu L, Zhang D, Wang K and Wang L. “Arrhythmic pulses detection using Lempel-Ziv complexity analysis,” EURASIP Journal on Advances in Signal Processing, 1-12, 2006.
Nuryani N, Ling SSH and Nguyen HT. “Electrocardiographic signals and swarm-based support vector machine for hypoglycemia detection,” Annals of Biomedical Engineering, 40: 934–945, 2012. CrossRef
Ling SSH and Nguyen HT. “Genetic-algorithm-based multiple regression with fuzzy inference system for detection of nocturnal hypoglycemic episodes,” IEEE Trans. Information Technology in Biomedicine, 15: 308–315, 2011. CrossRef
Khandoker AH, Palaniswami M and Karmakar CK. “Support vector machines for automated recognition of obstructive sleep apnea syndrome from ECG recordings,” IEEE Transactions on Information Technology in Biomedicine, 13(1): 37–48, 2009. CrossRef
Lu WA, Lin Wang YY and Wang WK. “Pulse analysis of patients with severe liver problems: studying pulse spectrums to determine the effects on other organs,” IEEE Engineering in Medicine and Biology Magazine, 18: 73–75, 1999. CrossRef
Zhang DY, Zuo WM, Zhang D, Zhang HZ and Li NM. “Wrist blood flow signal-based computerized pulse diagnosis using spatial and spectrum features,” Journal of Biomedical Science and Engineering, 3: 361–366, 2010. CrossRef
Chen YH, Zhang L, Zhang D and Zhang DY. “Computerized wrist pulse signal diagnosis using modified auto-regressive models,” Journal of Medical Systems, 35: 321–328, 2011. CrossRef
Lai JCY, Leung FHF and Ling SSH. “Hypoglycaemia detection using fuzzy inference system with intelligent optimiser,” Applied Soft Computing, 20: 54–65, 2014. CrossRef
Walsh S, King E, Pulse Diagnosis: A Clinical Guide. Sydney Australia: Elsevier, 2008.
Wang YYL, Hsu TL, Jan MY and Wang WK. “Review: theory and applications of the harmonic analysis of arterial pressure pulse waves,” Journal of Medical and Biological Engineering, 30.3: 125–131, 2010.
Baruch MC, Kalantari K, Gerdt DW and Adkins CM. “Validation of the pulse decomposition analysis algorithm using central arterial blood pressure,” BioMedical Engineering OnLine, 13:96, 2014. CrossRef
Fedosov DA, Pan W, Caswell B, Gompper G and Karniadakis GE. “Predicting human blood viscosity in silico,” Proc National Academy of Sciences, 108: 11772–11777, 2011. CrossRef
Liu L, Zuo W, Zhang D, Li N and Zhang H. “Combination of heterogeneous features for wrist pulse blood flow signal diagnosis via multiple kernel learning,” IEEE Trans. Information Technology in Biomedicine, 16: 599–607, 2012. CrossRef
Acharya UR, Joseph KP, Kannathal N, Lim CM and Suri JS. “Heart rate variability: a review,” Med Bio Eng Comput, 44: 1031–1051, 2006. CrossRef
Nuryani N, Ling S, and Nguyen H. “Hybrid particle swarm - based fuzzy support vector machine for hypoglycemia detection.” IEEE International Conference on Fuzzy Systems IEEE, 2012
Lee M, Guzman R, Bell-Stephens T and Steinberg GK. “Intraoperative blood flow analysis of direct revascularization procedures in patients with moyamoya disease,” J Cereb Blood Flow Metab, 31: 262–274, 2011. CrossRef
Sanchez CE, Schatz J and Roberts CW. “Cerebral blood flow velocity and language functioning in pediatric sickle cell disease,” Journal of the International Neuropsychological Society, 16: 326–334, 2010. CrossRef
Hsu E, Pulse Diagnosis in Early Chinese Medicine. New York, American: Cambridge University Press, 2010.
Tyan CC, Liu SH, Chen JY, Chen JJ and Liang WM. “A novel noninvasive measurement technique for analyzing the pressure pulse waveform of the radial artery,” IEEE Trans. Biomedical Engineering, 55: 288–297, 2008. CrossRef
Chen Y, Wen C, Tao G, Bi M and Li G. “Continuous and noninvasive blood pressure measurement: a novel modeling methodology of the relationship between blood pressure and pulse wave velocity,” Annals of Biomedical Engineering, 37: 2222–2233, 2009. CrossRef
Butlin M, “Structural and functional effects on large artery stiffness: an in-vivo experimental investigation,” PhD Thesis of the University of New South Wales, 2007.
Wang P, Zuo W and Zhang D. “A compound pressure signal acquisition system for multi-channel wrist pulse signal analysis,” IEEE Trans Instrumentation and Measuremen, 63: 1556–1565, 2014. CrossRef
Xu L, Zhang D, Wang K, Li N and Wang X. “Baseline wander correction in pulse waveforms using wavelet-based cascaded adaptive filter,” Comput Biol Med, 37: 716–731, 2007. CrossRef
Kilpatrick D and Johnston P. “Origin of the electrocardiogram,” IEEE Engineering in Medicine and Biology Magazine, 13: 479–486, 1994. CrossRef
Macfarlane PW and Coleman EN. “Resting 12-lead ECG electrode placement and associated problems,” SCST Update 1995, online available at: http://www.scst.org.uk/ resources/RESTING_12.pdf.
Hamilton PS and Tompkins WJ. “Quantitative Investigation of QRS Detection Rules Using the MIT/BIH Arrhythmia Database,” IEEE Trans Biomedical Engineering, BME-33: 1157–1165, 1986. CrossRef
Costa M, Goldberger AL and Peng CK. “Multiscale entropy analysis of complex physiologic time series,” Physical Review Letters, 89: 1–4, 2002. CrossRef
Pincus S, “Approximate entropy (ApEn) as a complexity measure,” Chaos: An Interdisciplinary Journal of Nonlinear Science, 5: 110, 1995. CrossRef
Richman JS and Moorman JR. “Physiological time-series analysis using approximate entropy and sample entropy,” American Journal of Physiology-Heart and Circulatory Physiology, 278: H2039-H2049, 2000. CrossRef
Lake DE, Richman JS, Griffin MP and Moorman JR. “Sample entropy analysis of neonatal heart rate variability,”Am J Physiology-Regulatory, Integrative and Comparative Physiology, 283: R789-R797, 2002. CrossRef
P. De Chazal, M. O'Dwyer and R. B. Reilly. “Automatic classification of heartbeats using ECG morphology and heartbeat interval features,” IEEE Trans. Biomedical Engineering, vol. 51, pp. 1196–1206, Jul. 2004.
McNemar Q. “Note on the sampling error of the difference between correlated proportions or percentages,” Psychometrika, 12: 153–157, 1947. CrossRef
Xu L, Meng MQH, Wang K, Wang L and Li N. “Pulse image recognition using fuzzy neural network,” Expert Syst Appl, 36: 3805–3811, 2009. CrossRef
Zhang D, Zuo W, Zhang D and Zhang H. “Time series classification using support vector machine with Gaussian elastic metric kernel,” Proc Int Conf Pattern Recognition, 29-32, 2010.
Zhang D, Zhang L, Zhang D and Zheng Y. “Wavelet-based analysis of Doppler ultrasonic wrist-pulse signals,” Proc BioMed Eng Informatics Conf, 2: 539–543, 2008.
Ferrario M, Signorini MG, Magenes G and Cerutti S. “Comparison of entropy-based regularity estimators: application to the fetal heart rate signal for the identification of fetal distress,” IEEE Trans Biomedical Engineering, 53: 119–125, 2006. CrossRef
- Comparison Between Pulse and ECG
- Springer Singapore
- Chapter 16
Neuer Inhalt/© ITandMEDIA, Best Practices für die Mitarbeiter-Partizipation in der Produktentwicklung/© astrosystem | stock.adobe.com