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2018 | OriginalPaper | Buchkapitel

2. Compound Pressure Signal Acquisition

verfasst von : David Zhang, Wangmeng Zuo, Peng Wang

Erschienen in: Computational Pulse Signal Analysis

Verlag: Springer Singapore

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Abstract

In traditional Chinese pulse diagnosis (TCPD), to analyze the health condition of a patient, a practitioner should put three fingers on the wrist of the patient to adaptively feel the fluctuations in the radial pulse at the styloid processes. Thus, for comprehensive pulse signal acquisition, we should efficiently and accurately capture pulse signals at different positions and under different pressures. However, most conventional pulse signal acquisition devices can only capture signal at one position and under a fixed pressure and thus only capture limited pulse diagnostic information. In this chapter, we present a solution to the problems of sensor positioning, sensor array design, pressure adjustment, and mechanical structure design, resulting in a compound system for multiple-channel pulse signal acquisition. Compared with the other systems, this system provides a systematic solution to sensor positioning, is effective in measuring the width of the pulse, and can capture multichannel pulse signals together with sub-signals under different hold-down pressures.

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Literatur
1.
Zurück zum Zitat S. Walsh, and E. King, Pulse Diagnosis: A Clinical Guide, Sydney Australia: Elsevier, 2008. S. Walsh, and E. King, Pulse Diagnosis: A Clinical Guide, Sydney Australia: Elsevier, 2008.
2.
Zurück zum Zitat V. D. Lad, Secrets of the Pulse, Albuquerque, New Mexico: The Ayurvedic Press, 1996. V. D. Lad, Secrets of the Pulse, Albuquerque, New Mexico: The Ayurvedic Press, 1996.
3.
Zurück zum Zitat E. Hsu, Pulse Diagnosis in Early Chinese Medicine, New York, American: Cambridge University Press, 2010. E. Hsu, Pulse Diagnosis in Early Chinese Medicine, New York, American: Cambridge University Press, 2010.
4.
Zurück zum Zitat R. Amber, and B. Brooke, Pulse Diagnosis Detailed Interpretations For Eastern & Western Holistic Treatments, Santa Fe, New Mexico: Aurora Press, 1993. R. Amber, and B. Brooke, Pulse Diagnosis Detailed Interpretations For Eastern & Western Holistic Treatments, Santa Fe, New Mexico: Aurora Press, 1993.
5.
Zurück zum Zitat Y. Chen, L. Zhang, D. Zhang, and D. Zhang, “Computerized wrist pulse signal diagnosis using modified auto-regressive models,” Journal of Medical Systems, vol. 35, no. 3, pp. 321-328, Jun, 2011.CrossRef Y. Chen, L. Zhang, D. Zhang, and D. Zhang, “Computerized wrist pulse signal diagnosis using modified auto-regressive models,” Journal of Medical Systems, vol. 35, no. 3, pp. 321-328, Jun, 2011.CrossRef
6.
Zurück zum Zitat Y. Chen, L. Zhang, and D. Zhang, “Wrist pulse signal diagnosis using modified Gaussian Models and Fuzzy C-Means classification,” Medical Engineering & Physics, vol. 31, no. 10, pp. 1283-1289, Dec, 2009.CrossRef Y. Chen, L. Zhang, and D. Zhang, “Wrist pulse signal diagnosis using modified Gaussian Models and Fuzzy C-Means classification,” Medical Engineering & Physics, vol. 31, no. 10, pp. 1283-1289, Dec, 2009.CrossRef
7.
Zurück zum Zitat L. Liu, W. Zuo, D. Zhang, N. Li, and H. Zhang, “Combination of heterogeneous features for wrist pulse blood flow signal diagnosis via multiple kernel learning,” IEEE Transactions on Information Technology in Biomedicine, vol. 16, no. 8, pp. 599-607, Jul, 2012. L. Liu, W. Zuo, D. Zhang, N. Li, and H. Zhang, “Combination of heterogeneous features for wrist pulse blood flow signal diagnosis via multiple kernel learning,” IEEE Transactions on Information Technology in Biomedicine, vol. 16, no. 8, pp. 599-607, Jul, 2012.
8.
Zurück zum Zitat L. Liu, W. Zuo, D. Zhang, N. Li, and H. Zhang, “Classification of wrist pulse blood flow signal using time warp edit distance,” Medical Biometrics, vol. 6165, no. 1, pp. 137-144, 2010.CrossRef L. Liu, W. Zuo, D. Zhang, N. Li, and H. Zhang, “Classification of wrist pulse blood flow signal using time warp edit distance,” Medical Biometrics, vol. 6165, no. 1, pp. 137-144, 2010.CrossRef
9.
Zurück zum Zitat D. Zhang, L. Zhang, and Y. Zheng, “Wavelet based analysis of doppler ultrasonic wrist-pulse signals,” in Proceedings of IEEE International Conference on Biomedical Engineering and Informatics, Hainan, China, 2008, pp. 539-543. D. Zhang, L. Zhang, and Y. Zheng, “Wavelet based analysis of doppler ultrasonic wrist-pulse signals,” in Proceedings of IEEE International Conference on Biomedical Engineering and Informatics, Hainan, China, 2008, pp. 539-543.
10.
Zurück zum Zitat D. Y. Zhang, W. M. Zuo, D. Zhang, H. Z. Zhang, and N. M. Li, “Wrist blood flow signal-based computerized pulse diagnosis using spatial and spectrum features,” Journal of Biomedical Science and Engineering, vol. 3, no. 4, pp. 361-366, 2010.CrossRef D. Y. Zhang, W. M. Zuo, D. Zhang, H. Z. Zhang, and N. M. Li, “Wrist blood flow signal-based computerized pulse diagnosis using spatial and spectrum features,” Journal of Biomedical Science and Engineering, vol. 3, no. 4, pp. 361-366, 2010.CrossRef
11.
Zurück zum Zitat D. Zhang, W. Zuo, Y. Li, and N. Li, “Gaussian ERP kernel classifier for pulse waveforms classification,” in Proceedings of IEEE International Conference on Pattern Recognition, Istanbul, Turkey 2010, pp. 2736-2739. D. Zhang, W. Zuo, Y. Li, and N. Li, “Gaussian ERP kernel classifier for pulse waveforms classification,” in Proceedings of IEEE International Conference on Pattern Recognition, Istanbul, Turkey 2010, pp. 2736-2739.
12.
Zurück zum Zitat Q. L. Guo, K. Q. Wang, D. Y. Zhang, and N. M. Li, “A wavelet packet based pulse waveform analysis for cholecystitis and nephrotic syndrome diagnosis,” in Proceedings of IEEE International Conference on Wavelet Analysis and Pattern Recognition, Hong Kong, China, 2008, pp. 513-517. Q. L. Guo, K. Q. Wang, D. Y. Zhang, and N. M. Li, “A wavelet packet based pulse waveform analysis for cholecystitis and nephrotic syndrome diagnosis,” in Proceedings of IEEE International Conference on Wavelet Analysis and Pattern Recognition, Hong Kong, China, 2008, pp. 513-517.
13.
Zurück zum Zitat S. Charbonnier, S. Galichet, G. Mauris, and J. P. Siche, “Statistical and fuzzy models of ambulatory systolic blood pressure for hypertension diagnosis,” IEEE Transactions on Instrumentation and Measurement, vol. 49, no. 5, pp. 998-1003, 2000.CrossRef S. Charbonnier, S. Galichet, G. Mauris, and J. P. Siche, “Statistical and fuzzy models of ambulatory systolic blood pressure for hypertension diagnosis,” IEEE Transactions on Instrumentation and Measurement, vol. 49, no. 5, pp. 998-1003, 2000.CrossRef
14.
Zurück zum Zitat H.-T. Wu, C.-H. Lee, C.-K. Sun, J.-T. Hsu, R.-M. Huang, and C.-J. Tang, “Arterial Waveforms Measured at the Wrist as Indicators of Diabetic Endothelial Dysfunction in the Elderly,” IEEE Transactions on Instrumentation and Measurement, vol. 61, no. 1, pp. 162-169, 2012.CrossRef H.-T. Wu, C.-H. Lee, C.-K. Sun, J.-T. Hsu, R.-M. Huang, and C.-J. Tang, “Arterial Waveforms Measured at the Wrist as Indicators of Diabetic Endothelial Dysfunction in the Elderly,” IEEE Transactions on Instrumentation and Measurement, vol. 61, no. 1, pp. 162-169, 2012.CrossRef
15.
Zurück zum Zitat P. Dupuis, and C. Eugene, “Combined detection of respiratory and cardiac rhythm disorders by high-resolution differential cuff pressure measurement,” IEEE Transactions on Instrumentation and Measurement, vol. 49, no. 3, pp. 498-502, 2000.CrossRef P. Dupuis, and C. Eugene, “Combined detection of respiratory and cardiac rhythm disorders by high-resolution differential cuff pressure measurement,” IEEE Transactions on Instrumentation and Measurement, vol. 49, no. 3, pp. 498-502, 2000.CrossRef
16.
Zurück zum Zitat J. U. Kim, Y. J. Jeon, Y.-M. Kim, H. J. Lee, and J. Y. Kim, “Novel fiagnostic model for the deficient and excess pulse qualities,” Evidence-Based Complementary and Alternative Medicine, vol. 2012, no. 563958, pp. 1-11, 2012. J. U. Kim, Y. J. Jeon, Y.-M. Kim, H. J. Lee, and J. Y. Kim, “Novel fiagnostic model for the deficient and excess pulse qualities,” Evidence-Based Complementary and Alternative Medicine, vol. 2012, no. 563958, pp. 1-11, 2012.
17.
Zurück zum Zitat P. Zhang, and H. Wang, “A framework for automatic time-domain characteristic Parameters extraction of human pulse signals,” EURASIP Journal on Advances in Signal Processing, vol. 2008, no. 468390, pp. 1-9, 2008.CrossRef P. Zhang, and H. Wang, “A framework for automatic time-domain characteristic Parameters extraction of human pulse signals,” EURASIP Journal on Advances in Signal Processing, vol. 2008, no. 468390, pp. 1-9, 2008.CrossRef
18.
Zurück zum Zitat C. Chen, E. Nevo, B. Fetics, P. H. Pak, F. C. P. Yin, L. Maughan, and D. A. Kass, “Estimation of central aortic pressure waveform by mathematical transformation of radial tonometry pressure: validation of generalized transfer function,” Circulation, vol. 95, no. 7, pp. 1827-1836, 1997.CrossRef C. Chen, E. Nevo, B. Fetics, P. H. Pak, F. C. P. Yin, L. Maughan, and D. A. Kass, “Estimation of central aortic pressure waveform by mathematical transformation of radial tonometry pressure: validation of generalized transfer function,” Circulation, vol. 95, no. 7, pp. 1827-1836, 1997.CrossRef
19.
Zurück zum Zitat S. Lu, R. Wang, L. Cui, Z. Zhao, Y. Yu, and Z. Shan, “Wireless networked Chinese telemedicine system: method and apparatus for remote pulse information retrieval and diagnosis,” in Proceedings of IEEE International Conference on Pervasive Computing and Communications, Hong Kong, China, 2008, pp. 698-703. S. Lu, R. Wang, L. Cui, Z. Zhao, Y. Yu, and Z. Shan, “Wireless networked Chinese telemedicine system: method and apparatus for remote pulse information retrieval and diagnosis,” in Proceedings of IEEE International Conference on Pervasive Computing and Communications, Hong Kong, China, 2008, pp. 698-703.
20.
Zurück zum Zitat C. C. Tyan, S. H. Liu, J. Y. Chen, J. J. Chen, and W. M. Liang, “A novel noninvasive measurement technique for analyzing the pressure pulse waveform of the radial artery,” IEEE Transactions on Biomedical Engineering, vol. 55, no. 1, pp. 288-297, Jan, 2008.CrossRef C. C. Tyan, S. H. Liu, J. Y. Chen, J. J. Chen, and W. M. Liang, “A novel noninvasive measurement technique for analyzing the pressure pulse waveform of the radial artery,” IEEE Transactions on Biomedical Engineering, vol. 55, no. 1, pp. 288-297, Jan, 2008.CrossRef
21.
Zurück zum Zitat C.-S. Hu, Y.-F. Chung, C.-C. Yeh, and C.-H. Luo, “Temporal and Spatial Properties of Arterial Pulsation Measurement Using Pressure Sensor Array,” Evidence-Based Complementary and Alternative Medicine, vol. 2012, pp. 1-9, 2012. C.-S. Hu, Y.-F. Chung, C.-C. Yeh, and C.-H. Luo, “Temporal and Spatial Properties of Arterial Pulsation Measurement Using Pressure Sensor Array,” Evidence-Based Complementary and Alternative Medicine, vol. 2012, pp. 1-9, 2012.
22.
Zurück zum Zitat H. Sorvoja, V. M. Kokko, R. Myllyla, and J. Miettinen, “Use of EMFi as a blood pressure pulse transducer,” IEEE Transactions on Instrumentation and Measurement, vol. 54, no. 6, pp. 2505-2512, 2005.CrossRef H. Sorvoja, V. M. Kokko, R. Myllyla, and J. Miettinen, “Use of EMFi as a blood pressure pulse transducer,” IEEE Transactions on Instrumentation and Measurement, vol. 54, no. 6, pp. 2505-2512, 2005.CrossRef
23.
Zurück zum Zitat E. Kaniusas, H. Pfutzner, L. Mehnen, J. Kosel, C. Tellez-Blanco, G. Varoneckas, A. Alonderis, T. Meydan, M. Vazquez, M. Rohn, A. M. Merlo, and B. Marquardt, “Method for continuous nondisturbing monitoring of blood pressure by magnetoelastic skin curvature sensor and ECG,” IEEE Sensors Journal, vol. 6, no. 3, pp. 819-828, Jun, 2006.CrossRef E. Kaniusas, H. Pfutzner, L. Mehnen, J. Kosel, C. Tellez-Blanco, G. Varoneckas, A. Alonderis, T. Meydan, M. Vazquez, M. Rohn, A. M. Merlo, and B. Marquardt, “Method for continuous nondisturbing monitoring of blood pressure by magnetoelastic skin curvature sensor and ECG,” IEEE Sensors Journal, vol. 6, no. 3, pp. 819-828, Jun, 2006.CrossRef
24.
Zurück zum Zitat L. Chen, H. Atsumi, M. Yagihashi, F. Mizuno, H. Narita, and H. Fujimoto, “A preliminary research on analysis of pulse diagnosis,” in Proceedings of IEEE International Conference on Complex Medical Engineering, Beijing, China, 2007, pp. 1807-1812. L. Chen, H. Atsumi, M. Yagihashi, F. Mizuno, H. Narita, and H. Fujimoto, “A preliminary research on analysis of pulse diagnosis,” in Proceedings of IEEE International Conference on Complex Medical Engineering, Beijing, China, 2007, pp. 1807-1812.
25.
Zurück zum Zitat H.-T. Wu, C.-H. Lee, and A.-B. Liu, “Assessment of endothelial function using arterial pressure signals,” Journal of Signal Processing Systems, vol. 64, no. 2, pp. 223-232, 2011.CrossRef H.-T. Wu, C.-H. Lee, and A.-B. Liu, “Assessment of endothelial function using arterial pressure signals,” Journal of Signal Processing Systems, vol. 64, no. 2, pp. 223-232, 2011.CrossRef
26.
Zurück zum Zitat ISO, IEC, OIML, and BIPM, Guide to the Expression of Uncertainty in Measurement, Geneva: ISO, 1995. ISO, IEC, OIML, and BIPM, Guide to the Expression of Uncertainty in Measurement, Geneva: ISO, 1995.
27.
Zurück zum Zitat B. Dobkin, and J. Williams, Analog circuit design: a tutorial guide to applications and solutions, America: Newnes, 2011. B. Dobkin, and J. Williams, Analog circuit design: a tutorial guide to applications and solutions, America: Newnes, 2011.
28.
Zurück zum Zitat D. A. Fedosov, W. Pan, B. Caswell, G. Gompper, and G. E. Karniadakis, “Predicting human blood viscosity in silico,” Proceedings of the National Academy of Sciences, vol. 108, no. 29, pp. 11772-11777, 2011.CrossRef D. A. Fedosov, W. Pan, B. Caswell, G. Gompper, and G. E. Karniadakis, “Predicting human blood viscosity in silico,” Proceedings of the National Academy of Sciences, vol. 108, no. 29, pp. 11772-11777, 2011.CrossRef
29.
Zurück zum Zitat I. Wakabayashi, and H. Masuda, “Association of pulse pressure with fibrinolysis in patients with type 2 diabetes,” Thrombosis Research, vol. 121, no. 1, pp. 95-102, 2007.CrossRef I. Wakabayashi, and H. Masuda, “Association of pulse pressure with fibrinolysis in patients with type 2 diabetes,” Thrombosis Research, vol. 121, no. 1, pp. 95-102, 2007.CrossRef
30.
Zurück zum Zitat N. Arunkumar, and K. M. M. Sirajudeen, “Approximate entropy based ayurvedic pulse diagnosis for diabetics - a case study,” in Proceedings of IEEE International Conference on Trendz in Information Sciences and Computing, Chennai, India, 2011, pp. 133-135. N. Arunkumar, and K. M. M. Sirajudeen, “Approximate entropy based ayurvedic pulse diagnosis for diabetics - a case study,” in Proceedings of IEEE International Conference on Trendz in Information Sciences and Computing, Chennai, India, 2011, pp. 133-135.
31.
Zurück zum Zitat L. Xu, D. Zhang, and K. Wang, “Wavelet-based cascaded adaptive filter for removing baseline drift in pulse waveforms,” IEEE Transactions on Biomedical Engineering, vol. 52, no. 11, pp. 1973-1975, Nov, 2005.CrossRef L. Xu, D. Zhang, and K. Wang, “Wavelet-based cascaded adaptive filter for removing baseline drift in pulse waveforms,” IEEE Transactions on Biomedical Engineering, vol. 52, no. 11, pp. 1973-1975, Nov, 2005.CrossRef
32.
Zurück zum Zitat L. Liu, N. Li, W. Zuo, D. Zhang, and H. Zhang, “Multiscale sample entropy analysis of wrist pulse blood flow signal for disease diagnosis,” in Proceedings of Sino-foreign-interchange Workshop on Intelligence Science and Intelligent Data Engineering, NanJing China, 2012. L. Liu, N. Li, W. Zuo, D. Zhang, and H. Zhang, “Multiscale sample entropy analysis of wrist pulse blood flow signal for disease diagnosis,” in Proceedings of Sino-foreign-interchange Workshop on Intelligence Science and Intelligent Data Engineering, NanJing China, 2012.
33.
Zurück zum Zitat D. E. Lake, J. S. Richman, M. P. Griffin, and J. R. Moorman, “Sample entropy analysis of neonatal heart rate variability,” American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, vol. 283, no. 3, pp. R789-R797, Sep, 2002.CrossRef D. E. Lake, J. S. Richman, M. P. Griffin, and J. R. Moorman, “Sample entropy analysis of neonatal heart rate variability,” American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, vol. 283, no. 3, pp. R789-R797, Sep, 2002.CrossRef
34.
Zurück zum Zitat J. S. Richman, and J. R. Moorman, “Physiological time-series analysis using approximate entropy and sample entropy,” American Journal of Physiology-Heart and Circulatory Physiology, vol. 278, no. 6, pp. H2039-H2049, Jun, 2000.CrossRef J. S. Richman, and J. R. Moorman, “Physiological time-series analysis using approximate entropy and sample entropy,” American Journal of Physiology-Heart and Circulatory Physiology, vol. 278, no. 6, pp. H2039-H2049, Jun, 2000.CrossRef
35.
Zurück zum Zitat L. Xu, M. Q. H. Meng, X. Qi, and K. Wang, “Morphology variability analysis of wrist pulse waveform for assessment of arteriosclerosis status,” Journal of Medical Systems, vol. 34, no. 3, pp. 331-339, Jun, 2010.CrossRef L. Xu, M. Q. H. Meng, X. Qi, and K. Wang, “Morphology variability analysis of wrist pulse waveform for assessment of arteriosclerosis status,” Journal of Medical Systems, vol. 34, no. 3, pp. 331-339, Jun, 2010.CrossRef
36.
Zurück zum Zitat S. M. Pincus, “Approximate entropy as a measure of system-complexity,” Proceedings of the National Academy of Sciences, vol. 88, no. 6, pp. 2297-2301, Mar, 1991.MathSciNetCrossRef S. M. Pincus, “Approximate entropy as a measure of system-complexity,” Proceedings of the National Academy of Sciences, vol. 88, no. 6, pp. 2297-2301, Mar, 1991.MathSciNetCrossRef
37.
Zurück zum Zitat M. Costa, A. L. Goldberger, and C. K. Peng, “Multiscale entropy analysis of complex physiologic time series,” Physical Review Letters, vol. 89, no. 068102, pp. 1-4, Aug 5, 2002. M. Costa, A. L. Goldberger, and C. K. Peng, “Multiscale entropy analysis of complex physiologic time series,” Physical Review Letters, vol. 89, no. 068102, pp. 1-4, Aug 5, 2002.
38.
Zurück zum Zitat M. Costa, A. Goldberger, and C. K. Peng, “Multiscale entropy to distinguish physiologic and synthetic RR time series,” in Proceedings of Computers in Cardiology, Memphis, America, 2002, pp. 137-140. M. Costa, A. Goldberger, and C. K. Peng, “Multiscale entropy to distinguish physiologic and synthetic RR time series,” in Proceedings of Computers in Cardiology, Memphis, America, 2002, pp. 137-140.
39.
Zurück zum Zitat M. Costa, A. L. Goldberger, and C. K. Peng, “Multiscale entropy analysis of biological signals,” Physical Review E, vol. 71, no. 021906, pp. 1-18, Feb, 2005.MathSciNet M. Costa, A. L. Goldberger, and C. K. Peng, “Multiscale entropy analysis of biological signals,” Physical Review E, vol. 71, no. 021906, pp. 1-18, Feb, 2005.MathSciNet
40.
Zurück zum Zitat C. J. C. Burges, “A tutorial on support vector machines for pattern recognition,” Data Mining and Knowledge Discovery, vol. 2, no. 2, pp. 121-167, Jun, 1998.CrossRef C. J. C. Burges, “A tutorial on support vector machines for pattern recognition,” Data Mining and Knowledge Discovery, vol. 2, no. 2, pp. 121-167, Jun, 1998.CrossRef
41.
Zurück zum Zitat A. G. Lalkhen, and A. McCluskey, “Clinical tests: sensitivity and specificity,” Continuing Education in Anaesthesia, Critical Care & Pain, vol. 8, no. 6, pp. 221-223, 2008.CrossRef A. G. Lalkhen, and A. McCluskey, “Clinical tests: sensitivity and specificity,” Continuing Education in Anaesthesia, Critical Care & Pain, vol. 8, no. 6, pp. 221-223, 2008.CrossRef
42.
Zurück zum Zitat J. Platt, “Probabilistic Outputs for Support Vector Machines and Comparison to Regularized Likelihood Methods,” Proceedings of Advances in Large Margin Classifiers, pp. 61-74, 2000. J. Platt, “Probabilistic Outputs for Support Vector Machines and Comparison to Regularized Likelihood Methods,” Proceedings of Advances in Large Margin Classifiers, pp. 61-74, 2000.
43.
Zurück zum Zitat D. Jia, N. Li, S. Liu, and S. Li, “Decision level fusion for pulse signal classification using multiple features,” in Proceedings of IEEE International Conference on Biomedical Engineering and Informatics, Yantai, China, 2010, pp. 843-847. D. Jia, N. Li, S. Liu, and S. Li, “Decision level fusion for pulse signal classification using multiple features,” in Proceedings of IEEE International Conference on Biomedical Engineering and Informatics, Yantai, China, 2010, pp. 843-847.
44.
Zurück zum Zitat J. Kittler, M. Hatef, P. W. Duin, and J. Matas, “On Combining Classifiers,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 20, pp. 226-239, 1998.CrossRef J. Kittler, M. Hatef, P. W. Duin, and J. Matas, “On Combining Classifiers,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 20, pp. 226-239, 1998.CrossRef
45.
Zurück zum Zitat Q. McNemar, “Note on the sampling error of the difference between correlated proportions or percentages,” Psychometrika, vol. 12, pp. 153-157, 1947.CrossRef Q. McNemar, “Note on the sampling error of the difference between correlated proportions or percentages,” Psychometrika, vol. 12, pp. 153-157, 1947.CrossRef
Metadaten
Titel
Compound Pressure Signal Acquisition
verfasst von
David Zhang
Wangmeng Zuo
Peng Wang
Copyright-Jahr
2018
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-10-4044-3_2